The data from PISA 2015 can be analysed with the development version of intsvy. The development version of the intsvy package can be installed and loaded with:

library("devtools")
install_github("eldafani/intsvy") 
library('intsvy')

Importing the data

You can create an object with the data directory and then apply the pisa.select.merge function.

dir <- "/home/eldani/MEGA/Work/international LSA/PISA/2015/Data" # your data directory (eg C:/PISA 2015/Data)

pisa15 <- pisa.select.merge(folder = dir,
                            student.file="CY6_MS_CMB_STU_QQQ.sav",
                            school.file="CY6_MS_CMB_SCH_QQQ.sav",
                            student= c("ESCS", "ST004D01T", "TEACHSUP", "JOYSCIE",  
                                       "IBTEACH", "TDTEACH", "DISCLISCI"),
                            school = c("EDUSHORT", "SCHLTYPE"))

The object pisa15 is a data frame with selected variables for all education systems participating in PISA 2015. Now you can start to analyse the data. Below are some examples.

Science average performance (PISA 2015 report, Table I.2.3)

pisa2015.mean.pv(pvlabel = "SCIE", by = "CNT", data = pisa15)
##                                      CNT  Freq   Mean s.e.     SD  s.e
## 1                                Albania  5215 427.22 3.28  78.48 1.45
## 2                   United Arab Emirates 14167 436.73 2.42  99.14 1.06
## 3                              Australia 14530 509.99 1.54 102.30 0.92
## 4                                Austria  7007 495.04 2.44  97.34 1.31
## 5                                Belgium  9651 502.00 2.29 100.19 1.24
## 6                               Bulgaria  5928 445.77 4.35 101.52 2.10
## 7                                 Brazil 23141 400.68 2.30  89.15 1.27
## 8                                 Canada 20058 527.70 2.08  92.37 0.88
## 9                            Switzerland  5860 505.51 2.90  99.52 1.55
## 10                                 Chile  7053 446.96 2.38  86.02 1.34
## 11                              Colombia 11795 415.73 2.36  80.37 1.29
## 12                            Costa Rica  6866 419.61 2.07  70.02 1.21
## 13                        Czech Republic  6894 492.83 2.27  95.26 1.45
## 14                               Germany  6504 509.14 2.70  99.33 1.48
## 15                               Denmark  7161 501.94 2.38  90.29 1.14
## 16                    Dominican Republic  4740 331.64 2.58  72.47 1.80
## 17                               Algeria  5519 375.75 2.64  69.28 1.51
## 18                                 Spain  6736 492.79 2.07  88.01 1.08
## 19                               Estonia  5587 534.19 2.09  88.90 1.10
## 20                               Finland  5882 530.66 2.39  96.17 1.31
## 21                                France  6108 494.98 2.06 101.96 1.45
## 22                        United Kingdom 14157 509.22 2.56  99.65 1.02
## 23                               Georgia  5316 411.13 2.42  90.60 1.31
## 24                                Greece  5532 454.83 3.92  91.92 1.84
## 25                             Hong Kong  5359 523.28 2.55  80.57 1.41
## 26                               Croatia  5809 475.39 2.45  89.32 1.25
## 27                               Hungary  5658 476.75 2.42  96.34 1.58
## 28                             Indonesia  6513 403.10 2.57  68.37 1.64
## 29                               Ireland  5741 502.58 2.39  88.90 1.33
## 30                               Iceland  3371 473.23 1.68  91.21 1.15
## 31                                Israel  6598 466.55 3.44 106.36 1.63
## 32                                 Italy 11583 480.55 2.52  91.44 1.35
## 33                                Jordan  7267 408.67 2.67  84.38 1.59
## 34                                 Japan  6647 538.39 2.97  93.47 1.65
## 35                                 Korea  5581 515.81 3.13  95.18 1.47
## 36                                Kosovo  4826 378.44 1.70  71.29 1.11
## 37                               Lebanon  4546 386.49 3.40  90.41 1.76
## 38                             Lithuania  6525 475.41 2.65  90.92 1.41
## 39                            Luxembourg  5299 482.81 1.12 100.40 1.08
## 40                                Latvia  4869 490.23 1.56  82.21 1.06
## 41                                 Macao  4476 528.55 1.06  81.37 0.96
## 42                               Moldova  5325 428.00 1.97  86.04 1.35
## 43                                Mexico  7568 415.71 2.13  71.41 1.09
## 44                             Macedonia  5324 383.68 1.25  84.78 1.29
## 45                                 Malta  3634 464.78 1.64 117.64 1.51
## 46                            Montenegro  5665 411.31 1.03  85.25 0.88
## 47                           Netherlands  5385 508.57 2.26 100.94 1.49
## 48                                Norway  5456 498.48 2.26  96.24 1.30
## 49                           New Zealand  4520 513.30 2.38 104.09 1.43
## 50                                  Peru  6971 396.68 2.36  76.70 1.41
## 51                                Poland  4478 501.44 2.51  90.79 1.34
## 52                              Portugal  7325 501.10 2.43  91.82 1.08
## 53 Argentina (Ciudad Autónoma de Buenos)  1657 475.19 6.28  85.76 2.72
## 54                                 Qatar 12083 417.61 1.00  98.74 0.74
## 55                       B-S-J-G (China)  9841 517.78 4.64 103.39 2.47
## 56                       Spain (Regions) 32330 494.71 1.32  88.51 0.73
## 57                  Massachusettes (USA)  1652 529.37 6.61  96.41 2.30
## 58                     Puerto Rico (USA)  1398 402.65 6.09  86.22 2.51
## 59                  North Carolina (USA)  1887 502.37 4.91  95.55 2.00
## 60                               Romania  4876 434.88 3.23  79.11 1.72
## 61                    Russian Federation  6036 486.63 2.91  82.41 1.05
## 62                             Singapore  6115 555.57 1.20 103.60 0.90
## 63                       Slovak Republic  6350 460.77 2.59  98.93 1.53
## 64                              Slovenia  6406 512.86 1.32  95.19 1.08
## 65                                Sweden  5458 493.42 3.60 102.48 1.37
## 66                        Chinese Taipei  7708 532.35 2.69  99.55 1.92
## 67                              Thailand  8249 421.34 2.83  78.49 1.58
## 68                   Trinidad and Tobago  4692 424.59 1.41  93.80 1.10
## 69                               Tunisia  5375 386.40 2.10  64.85 1.57
## 70                                Turkey  5895 425.49 3.93  79.26 1.89
## 71                               Uruguay  6062 435.36 2.20  86.54 1.26
## 72                         United States  5712 496.24 3.18  98.62 1.40
## 73                               Vietnam  5826 524.64 3.91  76.60 2.34

Science average performance by sex (PISA 2015 report, Table I.2.3)

pisa2015.mean.pv(pvlabel = "SCIE", by=c("CNT", "ST004D01T"), data = pisa15)
##                                       CNT ST004D01T  Freq   Mean s.e.
## 1                                 Albania    Female  2691 439.44 3.00
## 2                                 Albania      Male  2524 414.96 3.98
## 3                    United Arab Emirates    Female  7115 449.34 3.02
## 4                    United Arab Emirates      Male  7052 423.77 3.40
## 5                               Australia    Female  7163 508.92 1.72
## 6                               Australia      Male  7367 511.05 2.12
## 7                                 Austria    Female  3443 485.53 3.15
## 8                                 Austria      Male  3564 504.37 3.57
## 9                                 Belgium    Female  4752 496.03 2.73
## 10                                Belgium      Male  4899 507.78 3.07
## 11                               Bulgaria    Female  2823 453.90 4.37
## 12                               Bulgaria      Male  3105 438.50 5.29
## 13                                 Brazil    Female 12073 398.70 2.36
## 14                                 Brazil      Male 11068 402.78 2.51
## 15                                 Canada    Female 10022 527.16 2.25
## 16                                 Canada      Male 10036 528.25 2.52
## 17                            Switzerland    Female  2807 502.31 3.51
## 18                            Switzerland      Male  3053 508.45 3.09
## 19                                  Chile    Female  3500 439.62 2.67
## 20                                  Chile      Male  3553 454.22 3.10
## 21                               Colombia    Female  6158 411.03 2.44
## 22                               Colombia      Male  5637 420.97 3.10
## 23                             Costa Rica    Female  3494 410.83 2.21
## 24                             Costa Rica      Male  3372 428.67 2.46
## 25                         Czech Republic    Female  3422 488.40 2.49
## 26                         Czech Republic      Male  3472 497.03 3.30
## 27                                Germany    Female  3197 503.81 2.77
## 28                                Germany      Male  3307 514.28 3.22
## 29                                Denmark    Female  3602 498.90 3.17
## 30                                Denmark      Male  3559 504.94 2.61
## 31                     Dominican Republic    Female  2474 330.83 2.60
## 32                     Dominican Republic      Male  2266 332.48 3.19
## 33                                Algeria    Female  2670 383.22 3.07
## 34                                Algeria      Male  2849 369.04 2.98
## 35                                  Spain    Female  3404 489.46 2.47
## 36                                  Spain      Male  3332 496.13 2.46
## 37                                Estonia    Female  2788 532.52 2.26
## 38                                Estonia      Male  2799 535.80 2.72
## 39                                Finland    Female  2863 540.51 2.64
## 40                                Finland      Male  3019 521.48 2.72
## 41                                 France    Female  3111 494.03 2.66
## 42                                 France      Male  2997 495.94 2.70
## 43                         United Kingdom    Female  6922 508.84 3.29
## 44                         United Kingdom      Male  7235 509.59 2.89
## 45                                Georgia    Female  2557 419.62 2.33
## 46                                Georgia      Male  2759 403.50 3.27
## 47                                 Greece    Female  2706 459.42 3.88
## 48                                 Greece      Male  2826 450.60 4.65
## 49                              Hong Kong    Female  2675 523.75 3.44
## 50                              Hong Kong      Male  2684 522.82 3.11
## 51                                Croatia    Female  3013 472.59 2.80
## 52                                Croatia      Male  2796 478.42 3.24
## 53                                Hungary    Female  2850 475.25 2.95
## 54                                Hungary      Male  2808 478.24 3.35
## 55                              Indonesia    Female  3343 405.13 2.82
## 56                              Indonesia      Male  3170 401.08 3.03
## 57                                Ireland    Female  2833 497.17 2.62
## 58                                Ireland      Male  2908 507.70 3.16
## 59                                Iceland    Female  1741 474.66 2.12
## 60                                Iceland      Male  1630 471.72 2.64
## 61                                 Israel    Female  3667 464.45 4.09
## 62                                 Israel      Male  2931 468.74 4.69
## 63                                  Italy    Female  5792 472.12 3.56
## 64                                  Italy      Male  5791 489.08 3.13
## 65                                 Jordan    Female  3737 428.00 3.58
## 66                                 Jordan      Male  3530 388.96 3.91
## 67                                  Japan    Female  3309 531.53 2.88
## 68                                  Japan      Male  3338 545.14 4.14
## 69                                  Korea    Female  2669 520.83 3.27
## 70                                  Korea      Male  2912 511.22 4.59
## 71                                 Kosovo    Female  2278 383.24 2.13
## 72                                 Kosovo      Male  2548 373.79 2.01
## 73                                Lebanon    Female  2451 385.55 3.74
## 74                                Lebanon      Male  2095 387.57 4.01
## 75                              Lithuania    Female  3201 479.16 2.79
## 76                              Lithuania      Male  3324 471.77 3.27
## 77                             Luxembourg    Female  2683 479.01 1.55
## 78                             Luxembourg      Male  2616 486.65 1.67
## 79                                 Latvia    Female  2419 495.58 2.22
## 80                                 Latvia      Male  2450 484.89 2.00
## 81                                  Macao    Female  2230 532.42 1.53
## 82                                  Macao      Male  2246 524.71 1.47
## 83                                Moldova    Female  2634 431.42 2.44
## 84                                Moldova      Male  2691 424.61 2.38
## 85                                 Mexico    Female  3803 411.55 2.28
## 86                                 Mexico      Male  3765 419.75 2.56
## 87                              Macedonia    Female  2511 394.40 1.78
## 88                              Macedonia      Male  2813 374.07 1.59
## 89                                  Malta    Female  1790 470.21 2.15
## 90                                  Malta      Male  1844 459.51 2.47
## 91                             Montenegro    Female  2771 413.81 1.29
## 92                             Montenegro      Male  2894 408.92 1.70
## 93                            Netherlands    Female  2700 506.52 2.46
## 94                            Netherlands      Male  2685 510.65 2.91
## 95                                 Norway    Female  2706 497.00 2.68
## 96                                 Norway      Male  2750 499.92 2.69
## 97                            New Zealand    Female  2257 510.73 2.74
## 98                            New Zealand      Male  2263 515.85 3.20
## 99                                   Peru    Female  3460 391.68 2.92
## 100                                  Peru      Male  3511 401.64 2.82
## 101                                Poland    Female  2209 498.30 2.83
## 102                                Poland      Male  2269 504.46 2.95
## 103                              Portugal    Female  3651 496.06 2.55
## 104                              Portugal      Male  3674 506.05 2.85
## 105 Argentina (Ciudad Autónoma de Buenos)    Female   870 468.29 7.12
## 106 Argentina (Ciudad Autónoma de Buenos)      Male   787 482.60 7.19
## 107                                 Qatar    Female  6034 429.45 1.25
## 108                                 Qatar      Male  6049 406.32 1.37
## 109                       B-S-J-G (China)    Female  4682 512.79 5.30
## 110                       B-S-J-G (China)      Male  5159 522.15 4.51
## 111                       Spain (Regions)    Female 15961 490.03 1.72
## 112                       Spain (Regions)      Male 16369 499.28 1.54
## 113                  Massachusettes (USA)    Female   808 524.44 7.86
## 114                  Massachusettes (USA)      Male   844 534.32 6.54
## 115                     Puerto Rico (USA)    Female   720 407.39 5.88
## 116                     Puerto Rico (USA)      Male   678 397.93 7.47
## 117                  North Carolina (USA)    Female   938 501.62 5.72
## 118                  North Carolina (USA)      Male   949 503.11 5.15
## 119                               Romania    Female  2466 437.88 3.41
## 120                               Romania      Male  2410 431.86 3.69
## 121                    Russian Federation    Female  3107 484.51 3.08
## 122                    Russian Federation      Male  2929 488.81 3.59
## 123                             Singapore    Female  2973 552.27 1.72
## 124                             Singapore      Male  3142 558.66 1.76
## 125                       Slovak Republic    Female  3035 461.22 3.31
## 126                       Slovak Republic      Male  3315 460.36 2.98
## 127                              Slovenia    Female  2901 515.77 1.88
## 128                              Slovenia      Male  3505 510.14 1.92
## 129                                Sweden    Female  2731 495.72 3.70
## 130                                Sweden      Male  2727 491.17 4.12
## 131                        Chinese Taipei    Female  3819 530.08 3.81
## 132                        Chinese Taipei      Male  3889 534.56 4.08
## 133                              Thailand    Female  4652 425.25 2.87
## 134                              Thailand      Male  3597 416.22 3.64
## 135                   Trinidad and Tobago    Female  2453 434.71 1.86
## 136                   Trinidad and Tobago      Male  2239 414.21 2.08
## 137                               Tunisia    Female  2969 384.62 2.21
## 138                               Tunisia      Male  2406 388.47 2.37
## 139                                Turkey    Female  2938 428.65 4.41
## 140                                Turkey      Male  2957 422.33 4.50
## 141                               Uruguay    Female  3154 431.31 2.17
## 142                               Uruguay      Male  2908 439.83 3.11
## 143                         United States    Female  2854 492.87 3.40
## 144                         United States      Male  2858 499.62 3.67
## 145                               Vietnam    Female  3040 525.91 4.25
## 146                               Vietnam      Male  2786 523.31 4.04
##         SD  s.e
## 1    74.25 1.47
## 2    80.66 2.04
## 3    90.82 1.49
## 4   105.45 1.63
## 5    97.61 1.23
## 6   106.70 1.24
## 7    93.12 1.68
## 8   100.44 1.60
## 9    97.49 1.46
## 10  102.40 1.48
## 11   98.49 2.49
## 12  103.62 2.35
## 13   85.82 1.43
## 14   92.50 1.39
## 15   89.09 1.01
## 16   95.53 1.17
## 17   95.81 2.00
## 18  102.73 1.68
## 19   83.41 1.55
## 20   87.92 1.80
## 21   78.38 1.51
## 22   82.22 1.72
## 23   66.82 1.30
## 24   72.07 1.42
## 25   90.20 1.90
## 26   99.64 1.81
## 27   96.73 1.58
## 28  101.50 1.87
## 29   87.18 1.42
## 30   93.18 1.65
## 31   70.66 1.88
## 32   74.27 2.24
## 33   70.02 2.09
## 34   67.91 1.65
## 35   84.31 1.39
## 36   91.44 1.49
## 37   84.59 1.36
## 38   92.82 1.53
## 39   90.61 1.71
## 40  100.21 1.56
## 41   97.21 1.63
## 42  106.56 1.85
## 43   98.00 1.49
## 44  101.22 1.38
## 45   86.22 1.43
## 46   93.70 1.78
## 47   88.25 2.08
## 48   94.98 2.09
## 49   77.50 1.78
## 50   83.46 1.68
## 51   85.50 1.56
## 52   93.17 1.62
## 53   94.46 1.85
## 54   98.14 1.83
## 55   69.00 1.78
## 56   67.67 1.88
## 57   82.93 1.44
## 58   93.93 1.81
## 59   88.38 1.50
## 60   94.07 1.87
## 61   99.59 1.90
## 62  112.94 2.05
## 63   88.86 1.82
## 64   93.21 1.49
## 65   76.54 1.64
## 66   87.39 2.26
## 67   90.78 1.80
## 68   95.56 2.22
## 69   88.07 1.72
## 70  101.03 2.06
## 71   69.22 1.46
## 72   72.92 1.48
## 73   87.42 1.83
## 74   93.71 2.36
## 75   87.94 1.49
## 76   93.57 1.82
## 77   96.53 1.35
## 78  104.03 1.29
## 79   78.87 1.49
## 80   85.07 1.43
## 81   75.84 1.31
## 82   86.34 1.31
## 83   84.75 1.77
## 84   87.15 1.59
## 85   67.84 1.29
## 86   74.48 1.37
## 87   81.86 1.64
## 88   86.18 1.61
## 89  114.89 2.38
## 90  120.00 1.73
## 91   81.39 1.19
## 92   88.72 1.25
## 93   97.31 1.72
## 94  104.42 1.80
## 95   91.10 1.53
## 96  100.97 1.82
## 97   99.09 1.68
## 98  108.75 1.94
## 99   75.39 1.69
## 100  77.64 1.54
## 101  86.87 1.75
## 102  94.32 1.81
## 103  87.05 1.42
## 104  96.01 1.30
## 105  82.13 3.32
## 106  88.87 3.40
## 107  91.66 0.88
## 108 103.79 0.94
## 109 101.40 2.78
## 110 104.90 2.60
## 111  86.33 0.94
## 112  90.34 0.83
## 113  93.00 3.01
## 114  99.45 3.13
## 115  83.38 2.80
## 116  88.69 3.65
## 117  91.59 2.16
## 118  99.32 2.55
## 119  78.24 1.83
## 120  79.86 2.07
## 121  79.76 1.04
## 122  85.00 1.50
## 123  98.40 1.21
## 124 108.15 1.45
## 125  96.15 2.04
## 126 101.47 1.71
## 127  92.99 1.63
## 128  97.12 1.51
## 129  98.21 1.70
## 130 106.45 1.70
## 131  96.41 2.44
## 132 102.48 2.46
## 133  77.18 1.95
## 134  79.87 1.95
## 135  91.47 1.45
## 136  95.00 1.72
## 137  63.65 1.76
## 138  66.16 1.74
## 139  78.77 2.20
## 140  79.62 2.12
## 141  82.94 1.26
## 142  90.13 1.77
## 143  94.88 1.76
## 144 102.11 1.80
## 145  74.88 2.86
## 146  78.33 2.16

Science average performance by sex, testing for differences (PISA 2015 report, Table I.2.3)

pisa2015.reg.pv(pvlabel="SCIE", x="ST004D01T", by = "CNT", data=pisa15)
## $Albania
##               Estimate Std. Error t value
## (Intercept)     439.44       3.12  140.92
## ST004D01TMale   -24.49       3.19   -7.68
## R-squared         0.02       0.01    3.92
## 
## $`United Arab Emirates`
##               Estimate Std. Error t value
## (Intercept)     449.34       3.10  145.06
## ST004D01TMale   -25.57       4.57   -5.60
## R-squared         0.02       0.01    2.78
## 
## $Australia
##               Estimate Std. Error t value
## (Intercept)     508.92       1.82  279.45
## ST004D01TMale     2.13       2.54    0.84
## R-squared         0.00       0.00    0.48
## 
## $Austria
##               Estimate Std. Error t value
## (Intercept)     485.53       3.21  151.02
## ST004D01TMale    18.84       4.83    3.90
## R-squared         0.01       0.00    1.92
## 
## $Belgium
##               Estimate Std. Error t value
## (Intercept)     496.03       2.77  179.29
## ST004D01TMale    11.75       3.62    3.24
## R-squared         0.00       0.00    1.64
## 
## $Bulgaria
##               Estimate Std. Error t value
## (Intercept)     453.90       4.41  102.85
## ST004D01TMale   -15.40       4.62   -3.34
## R-squared         0.01       0.00    1.70
## 
## $Brazil
##               Estimate Std. Error t value
## (Intercept)     398.70       2.41  165.69
## ST004D01TMale     4.08       1.72    2.38
## R-squared         0.00       0.00    1.19
## 
## $Canada
##               Estimate Std. Error t value
## (Intercept)     527.16       2.33  226.17
## ST004D01TMale     1.10       2.65    0.41
## R-squared         0.00       0.00    0.27
## 
## $Switzerland
##               Estimate Std. Error t value
## (Intercept)     502.31       3.61  139.01
## ST004D01TMale     6.14       3.37    1.82
## R-squared         0.00       0.00    0.89
## 
## $Chile
##               Estimate Std. Error t value
## (Intercept)     439.62       2.72  161.40
## ST004D01TMale    14.60       3.61    4.05
## R-squared         0.01       0.00    2.05
## 
## $Colombia
##               Estimate Std. Error t value
## (Intercept)     411.03       2.49  164.88
## ST004D01TMale     9.93       3.02    3.28
## R-squared         0.00       0.00    1.58
## 
## $`Costa Rica`
##               Estimate Std. Error t value
## (Intercept)     410.83       2.28  180.47
## ST004D01TMale    17.83       2.36    7.57
## R-squared         0.02       0.00    3.78
## 
## $`Czech Republic`
##               Estimate Std. Error t value
## (Intercept)     488.40        2.6  188.19
## ST004D01TMale     8.63        3.9    2.21
## R-squared         0.00        0.0    1.09
## 
## $Germany
##               Estimate Std. Error t value
## (Intercept)     503.81       2.89  174.11
## ST004D01TMale    10.47       2.77    3.78
## R-squared         0.00       0.00    1.91
## 
## $Denmark
##               Estimate Std. Error t value
## (Intercept)     498.90       3.28  151.92
## ST004D01TMale     6.04       3.61    1.68
## R-squared         0.00       0.00    0.91
## 
## $`Dominican Republic`
##               Estimate Std. Error t value
## (Intercept)     330.83       2.79  118.76
## ST004D01TMale     1.65       3.22    0.51
## R-squared         0.00       0.00    0.41
## 
## $Algeria
##               Estimate Std. Error t value
## (Intercept)     383.22       3.25  118.00
## ST004D01TMale   -14.19       3.59   -3.95
## R-squared         0.01       0.01    2.01
## 
## $Spain
##               Estimate Std. Error t value
## (Intercept)     489.46       2.58  189.52
## ST004D01TMale     6.67       2.92    2.28
## R-squared         0.00       0.00    1.14
## 
## $Estonia
##               Estimate Std. Error t value
## (Intercept)     532.52       2.52  211.22
## ST004D01TMale     3.28       2.96    1.11
## R-squared         0.00       0.00    0.52
## 
## $Finland
##               Estimate Std. Error t value
## (Intercept)     540.51       2.73  198.21
## ST004D01TMale   -19.03       2.54   -7.49
## R-squared         0.01       0.00    3.70
## 
## $France
##               Estimate Std. Error t value
## (Intercept)     494.03       2.78  177.76
## ST004D01TMale     1.90       3.56    0.53
## R-squared         0.00       0.00    0.22
## 
## $`United Kingdom`
##               Estimate Std. Error t value
## (Intercept)     508.84       3.49  145.60
## ST004D01TMale     0.75       3.81    0.20
## R-squared         0.00       0.00    0.17
## 
## $Georgia
##               Estimate Std. Error t value
## (Intercept)     419.62       2.59  161.99
## ST004D01TMale   -16.12       3.43   -4.69
## R-squared         0.01       0.00    2.33
## 
## $Greece
##               Estimate Std. Error t value
## (Intercept)     459.42       3.98  115.32
## ST004D01TMale    -8.82       3.86   -2.28
## R-squared         0.00       0.00    1.22
## 
## $`Hong Kong`
##               Estimate Std. Error t value
## (Intercept)     523.75       3.63  144.16
## ST004D01TMale    -0.93       4.26   -0.22
## R-squared         0.00       0.00    0.10
## 
## $Croatia
##               Estimate Std. Error t value
## (Intercept)     472.59       2.93  161.51
## ST004D01TMale     5.83       3.62    1.61
## R-squared         0.00       0.00    0.80
## 
## $Hungary
##               Estimate Std. Error t value
## (Intercept)     475.25       3.07  154.99
## ST004D01TMale     2.99       4.19    0.71
## R-squared         0.00       0.00    0.31
## 
## $Indonesia
##               Estimate Std. Error t value
## (Intercept)     405.13       2.88  140.62
## ST004D01TMale    -4.05       2.97   -1.37
## R-squared         0.00       0.00    0.69
## 
## $Ireland
##               Estimate Std. Error t value
## (Intercept)     497.17       2.80  177.39
## ST004D01TMale    10.53       3.35    3.15
## R-squared         0.00       0.00    1.57
## 
## $Iceland
##               Estimate Std. Error t value
## (Intercept)     474.66       2.34  203.07
## ST004D01TMale    -2.94       3.95   -0.74
## R-squared         0.00       0.00    0.40
## 
## $Israel
##               Estimate Std. Error t value
## (Intercept)     464.45       4.16  111.71
## ST004D01TMale     4.30       5.53    0.78
## R-squared         0.00       0.00    0.37
## 
## $Italy
##               Estimate Std. Error t value
## (Intercept)     472.12       3.66  129.11
## ST004D01TMale    16.96       4.66    3.64
## R-squared         0.01       0.00    1.78
## 
## $Jordan
##               Estimate Std. Error t value
## (Intercept)     428.00       3.66  116.92
## ST004D01TMale   -39.03       5.50   -7.09
## R-squared         0.05       0.01    3.68
## 
## $Japan
##               Estimate Std. Error t value
## (Intercept)     531.53       2.99  177.55
## ST004D01TMale    13.61       4.15    3.28
## R-squared         0.01       0.00    1.60
## 
## $Korea
##               Estimate Std. Error t value
## (Intercept)     520.83       3.38  154.10
## ST004D01TMale    -9.62       5.12   -1.88
## R-squared         0.00       0.00    0.92
## 
## $Kosovo
##               Estimate Std. Error t value
## (Intercept)     383.24       2.59  147.82
## ST004D01TMale    -9.45       2.72   -3.47
## R-squared         0.00       0.00    1.74
## 
## $Lebanon
##               Estimate Std. Error t value
## (Intercept)     385.55       3.87   99.65
## ST004D01TMale     2.02       3.90    0.52
## R-squared         0.00       0.00    0.23
## 
## $Lithuania
##               Estimate Std. Error t value
## (Intercept)     479.16       2.95  162.48
## ST004D01TMale    -7.39       3.43   -2.16
## R-squared         0.00       0.00    1.10
## 
## $Luxembourg
##               Estimate Std. Error t value
## (Intercept)     479.01       1.90  251.81
## ST004D01TMale     7.64       2.74    2.78
## R-squared         0.00       0.00    1.46
## 
## $Latvia
##               Estimate Std. Error t value
## (Intercept)     495.58       2.36  210.27
## ST004D01TMale   -10.69       3.12   -3.43
## R-squared         0.00       0.00    1.72
## 
## $Macao
##               Estimate Std. Error t value
## (Intercept)     532.42       1.82  292.95
## ST004D01TMale    -7.70       2.49   -3.10
## R-squared         0.00       0.00    1.58
## 
## $Moldova
##               Estimate Std. Error t value
## (Intercept)     431.42       2.66  162.35
## ST004D01TMale    -6.81       3.33   -2.05
## R-squared         0.00       0.00    1.14
## 
## $Mexico
##               Estimate Std. Error t value
## (Intercept)     411.55       2.37  173.54
## ST004D01TMale     8.20       2.66    3.08
## R-squared         0.00       0.00    1.48
## 
## $Macedonia
##               Estimate Std. Error t value
## (Intercept)     394.40       2.13  184.98
## ST004D01TMale   -20.33       2.52   -8.07
## R-squared         0.01       0.00    4.11
## 
## $Malta
##               Estimate Std. Error t value
## (Intercept)     470.21       2.39  196.73
## ST004D01TMale   -10.70       3.47   -3.09
## R-squared         0.00       0.00    1.58
## 
## $Montenegro
##               Estimate Std. Error t value
## (Intercept)     413.81       1.39  296.78
## ST004D01TMale    -4.89       2.44   -2.00
## R-squared         0.00       0.00    0.98
## 
## $Netherlands
##               Estimate Std. Error t value
## (Intercept)     506.52       2.49  203.04
## ST004D01TMale     4.13       3.25    1.27
## R-squared         0.00       0.00    0.72
## 
## $Norway
##               Estimate Std. Error t value
## (Intercept)     497.00       2.82  176.32
## ST004D01TMale     2.92       3.19    0.92
## R-squared         0.00       0.00    0.51
## 
## $`New Zealand`
##               Estimate Std. Error t value
## (Intercept)     510.73       2.84  179.53
## ST004D01TMale     5.12       3.80    1.35
## R-squared         0.00       0.00    0.69
## 
## $Peru
##               Estimate Std. Error t value
## (Intercept)     391.68       3.15  124.49
## ST004D01TMale     9.96       3.74    2.66
## R-squared         0.00       0.00    1.35
## 
## $Poland
##               Estimate Std. Error t value
## (Intercept)     498.30       2.93  170.10
## ST004D01TMale     6.15       3.09    1.99
## R-squared         0.00       0.00    0.99
## 
## $Portugal
##               Estimate Std. Error t value
## (Intercept)     496.06       2.69  184.23
## ST004D01TMale    10.00       2.51    3.98
## R-squared         0.00       0.00    1.98
## 
## $`Argentina (Ciudad Autónoma de Buenos)`
##               Estimate Std. Error t value
## (Intercept)     468.29       7.41   63.17
## ST004D01TMale    14.31       7.41    1.93
## R-squared         0.01       0.01    0.98
## 
## $Qatar
##               Estimate Std. Error t value
## (Intercept)     429.45       1.57  273.51
## ST004D01TMale   -23.12       2.05  -11.27
## R-squared         0.01       0.00    5.78
## 
## $`B-S-J-G (China)`
##               Estimate Std. Error t value
## (Intercept)     512.79       5.33   96.23
## ST004D01TMale     9.36       3.16    2.96
## R-squared         0.00       0.00    1.43
## 
## $`Spain (Regions)`
##               Estimate Std. Error t value
## (Intercept)     490.03       1.86  263.49
## ST004D01TMale     9.26       2.22    4.17
## R-squared         0.00       0.00    2.09
## 
## $`Massachusettes (USA)`
##               Estimate Std. Error t value
## (Intercept)     524.44       7.94   66.02
## ST004D01TMale     9.88       6.06    1.63
## R-squared         0.00       0.00    0.85
## 
## $`Puerto Rico (USA)`
##               Estimate Std. Error t value
## (Intercept)     407.39       6.08   67.04
## ST004D01TMale    -9.45       6.38   -1.48
## R-squared         0.00       0.00    0.70
## 
## $`North Carolina (USA)`
##               Estimate Std. Error t value
## (Intercept)     501.62       5.83   86.08
## ST004D01TMale     1.49       4.98    0.30
## R-squared         0.00       0.00    0.18
## 
## $Romania
##               Estimate Std. Error t value
## (Intercept)     437.88       3.46  126.38
## ST004D01TMale    -6.01       3.30   -1.82
## R-squared         0.00       0.00    0.94
## 
## $`Russian Federation`
##               Estimate Std. Error t value
## (Intercept)     484.51       3.19   151.7
## ST004D01TMale     4.30       3.59     1.2
## R-squared         0.00       0.00     0.6
## 
## $Singapore
##               Estimate Std. Error t value
## (Intercept)     552.27       1.83  301.90
## ST004D01TMale     6.39       2.72    2.35
## R-squared         0.00       0.00    1.23
## 
## $`Slovak Republic`
##               Estimate Std. Error t value
## (Intercept)     461.22       3.40  135.80
## ST004D01TMale    -0.85       3.67   -0.23
## R-squared         0.00       0.00    0.11
## 
## $Slovenia
##               Estimate Std. Error t value
## (Intercept)     515.77       1.98  260.95
## ST004D01TMale    -5.63       3.04   -1.85
## R-squared         0.00       0.00    0.92
## 
## $Sweden
##               Estimate Std. Error t value
## (Intercept)     495.72       3.79  130.71
## ST004D01TMale    -4.55       3.25   -1.40
## R-squared         0.00       0.00    0.69
## 
## $`Chinese Taipei`
##               Estimate Std. Error t value
## (Intercept)     530.08       3.87  136.87
## ST004D01TMale     4.48       5.86    0.76
## R-squared         0.00       0.00    0.38
## 
## $Thailand
##               Estimate Std. Error t value
## (Intercept)     425.25       2.93  144.96
## ST004D01TMale    -9.03       3.30   -2.73
## R-squared         0.00       0.00    1.33
## 
## $`Trinidad and Tobago`
##               Estimate Std. Error t value
## (Intercept)     434.71       2.18  199.77
## ST004D01TMale   -20.49       3.23   -6.34
## R-squared         0.01       0.00    3.20
## 
## $Tunisia
##               Estimate Std. Error t value
## (Intercept)     384.62       2.36  162.94
## ST004D01TMale     3.86       1.97    1.96
## R-squared         0.00       0.00    0.96
## 
## $Turkey
##               Estimate Std. Error t value
## (Intercept)     428.65       4.46   96.18
## ST004D01TMale    -6.33       4.42   -1.43
## R-squared         0.00       0.00    0.67
## 
## $Uruguay
##               Estimate Std. Error t value
## (Intercept)     431.31       2.29  187.96
## ST004D01TMale     8.52       3.23    2.64
## R-squared         0.00       0.00    1.34
## 
## $`United States`
##               Estimate Std. Error t value
## (Intercept)     492.87       3.53  139.64
## ST004D01TMale     6.75       3.29    2.05
## R-squared         0.00       0.00    1.05
## 
## $Vietnam
##               Estimate Std. Error t value
## (Intercept)     525.91       4.35  120.98
## ST004D01TMale    -2.60       3.10   -0.84
## R-squared         0.00       0.00    0.44

Science average performance: proficiency levels (PISA 2015 report, Table I.2.1a)

pisa2015.ben.pv(pvlabel="SCIE", cutoff = c(260.54, 334.94, 409.54, 558.73, 633.33, 707.93), by="CNT", data=pisa15)
##                                       CNT       Benchmarks Percentage
## 1                                 Albania        <= 260.54       1.55
## 2                                 Albania (260.54, 334.94]      10.34
## 3                                 Albania (334.94, 409.54]      29.88
## 4                                 Albania (409.54, 558.73]      53.37
## 5                                 Albania (558.73, 633.33]       4.44
## 6                                 Albania (633.33, 707.93]       0.42
## 7                                 Albania         > 707.93       0.02
## 8                    United Arab Emirates        <= 260.54       2.60
## 9                    United Arab Emirates (260.54, 334.94]      12.87
## 10                   United Arab Emirates (334.94, 409.54]      26.27
## 11                   United Arab Emirates (409.54, 558.73]      46.01
## 12                   United Arab Emirates (558.73, 633.33]       9.48
## 13                   United Arab Emirates (633.33, 707.93]       2.53
## 14                   United Arab Emirates         > 707.93       0.25
## 15                              Australia        <= 260.54       0.58
## 16                              Australia (260.54, 334.94]       4.21
## 17                              Australia (334.94, 409.54]      13.04
## 18                              Australia (409.54, 558.73]      48.76
## 19                              Australia (558.73, 633.33]      22.22
## 20                              Australia (633.33, 707.93]       9.18
## 21                              Australia         > 707.93       2.01
## 22                                Austria        <= 260.54       0.46
## 23                                Austria (260.54, 334.94]       4.56
## 24                                Austria (334.94, 409.54]      15.74
## 25                                Austria (409.54, 558.73]      52.03
## 26                                Austria (558.73, 633.33]      19.60
## 27                                Austria (633.33, 707.93]       6.72
## 28                                Austria         > 707.93       0.89
## 29                                Belgium        <= 260.54       0.47
## 30                                Belgium (260.54, 334.94]       4.93
## 31                                Belgium (334.94, 409.54]      14.44
## 32                                Belgium (409.54, 558.73]      48.76
## 33                                Belgium (558.73, 633.33]      22.46
## 34                                Belgium (633.33, 707.93]       7.96
## 35                                Belgium         > 707.93       0.98
## 36                               Bulgaria        <= 260.54       2.67
## 37                               Bulgaria (260.54, 334.94]      12.38
## 38                               Bulgaria (334.94, 409.54]      22.81
## 39                               Bulgaria (409.54, 558.73]      47.85
## 40                               Bulgaria (558.73, 633.33]      11.45
## 41                               Bulgaria (633.33, 707.93]       2.64
## 42                               Bulgaria         > 707.93       0.20
## 43                                 Brazil        <= 260.54       4.34
## 44                                 Brazil (260.54, 334.94]      19.82
## 45                                 Brazil (334.94, 409.54]      32.52
## 46                                 Brazil (409.54, 558.73]      38.44
## 47                                 Brazil (558.73, 633.33]       4.19
## 48                                 Brazil (633.33, 707.93]       0.67
## 49                                 Brazil         > 707.93       0.02
## 50                                 Canada        <= 260.54       0.13
## 51                                 Canada (260.54, 334.94]       1.87
## 52                                 Canada (334.94, 409.54]       9.12
## 53                                 Canada (409.54, 558.73]      50.36
## 54                                 Canada (558.73, 633.33]      26.11
## 55                                 Canada (633.33, 707.93]      10.34
## 56                                 Canada         > 707.93       2.09
## 57                            Switzerland        <= 260.54       0.50
## 58                            Switzerland (260.54, 334.94]       4.05
## 59                            Switzerland (334.94, 409.54]      14.03
## 60                            Switzerland (409.54, 558.73]      49.14
## 61                            Switzerland (558.73, 633.33]      22.38
## 62                            Switzerland (633.33, 707.93]       8.81
## 63                            Switzerland         > 707.93       1.09
## 64                                  Chile        <= 260.54       1.03
## 65                                  Chile (260.54, 334.94]       8.79
## 66                                  Chile (334.94, 409.54]      24.99
## 67                                  Chile (409.54, 558.73]      54.82
## 68                                  Chile (558.73, 633.33]       9.14
## 69                                  Chile (633.33, 707.93]       1.19
## 70                                  Chile         > 707.93       0.04
## 71                               Colombia        <= 260.54       1.65
## 72                               Colombia (260.54, 334.94]      14.58
## 73                               Colombia (334.94, 409.54]      32.87
## 74                               Colombia (409.54, 558.73]      46.45
## 75                               Colombia (558.73, 633.33]       4.11
## 76                               Colombia (633.33, 707.93]       0.33
## 77                               Colombia         > 707.93       0.00
## 78                             Costa Rica        <= 260.54       0.70
## 79                             Costa Rica (260.54, 334.94]      10.06
## 80                             Costa Rica (334.94, 409.54]      35.48
## 81                             Costa Rica (409.54, 558.73]      50.81
## 82                             Costa Rica (558.73, 633.33]       2.81
## 83                             Costa Rica (633.33, 707.93]       0.14
## 84                             Costa Rica         > 707.93       0.00
## 85                         Czech Republic        <= 260.54       0.32
## 86                         Czech Republic (260.54, 334.94]       4.34
## 87                         Czech Republic (334.94, 409.54]      15.94
## 88                         Czech Republic (409.54, 558.73]      53.73
## 89                         Czech Republic (558.73, 633.33]      18.47
## 90                         Czech Republic (633.33, 707.93]       6.23
## 91                         Czech Republic         > 707.93       0.97
## 92                                Germany        <= 260.54       0.38
## 93                                Germany (260.54, 334.94]       3.88
## 94                                Germany (334.94, 409.54]      12.86
## 95                                Germany (409.54, 558.73]      50.27
## 96                                Germany (558.73, 633.33]      22.19
## 97                                Germany (633.33, 707.93]       8.69
## 98                                Germany         > 707.93       1.73
## 99                                Denmark        <= 260.54       0.35
## 100                               Denmark (260.54, 334.94]       3.03
## 101                               Denmark (334.94, 409.54]      12.40
## 102                               Denmark (409.54, 558.73]      57.06
## 103                               Denmark (558.73, 633.33]      20.29
## 104                               Denmark (633.33, 707.93]       6.09
## 105                               Denmark         > 707.93       0.78
## 106                    Dominican Republic        <= 260.54      15.55
## 107                    Dominican Republic (260.54, 334.94]      39.59
## 108                    Dominican Republic (334.94, 409.54]      30.46
## 109                    Dominican Republic (409.54, 558.73]      14.02
## 110                    Dominican Republic (558.73, 633.33]       0.37
## 111                    Dominican Republic (633.33, 707.93]       0.01
## 112                    Dominican Republic         > 707.93       0.00
## 113                               Algeria        <= 260.54       4.01
## 114                               Algeria (260.54, 334.94]      23.92
## 115                               Algeria (334.94, 409.54]      42.85
## 116                               Algeria (409.54, 558.73]      28.26
## 117                               Algeria (558.73, 633.33]       0.94
## 118                               Algeria (633.33, 707.93]       0.03
## 119                               Algeria         > 707.93       0.00
## 120                                 Spain        <= 260.54       0.33
## 121                                 Spain (260.54, 334.94]       3.69
## 122                                 Spain (334.94, 409.54]      14.26
## 123                                 Spain (409.54, 558.73]      57.72
## 124                                 Spain (558.73, 633.33]      19.03
## 125                                 Spain (633.33, 707.93]       4.66
## 126                                 Spain         > 707.93       0.31
## 127                               Estonia        <= 260.54       0.03
## 128                               Estonia (260.54, 334.94]       1.23
## 129                               Estonia (334.94, 409.54]       7.47
## 130                               Estonia (409.54, 558.73]      50.62
## 131                               Estonia (558.73, 633.33]      27.25
## 132                               Estonia (633.33, 707.93]      11.49
## 133                               Estonia         > 707.93       1.92
## 134                               Finland        <= 260.54       0.22
## 135                               Finland (260.54, 334.94]       2.18
## 136                               Finland (334.94, 409.54]       9.03
## 137                               Finland (409.54, 558.73]      48.37
## 138                               Finland (558.73, 633.33]      25.89
## 139                               Finland (633.33, 707.93]      11.81
## 140                               Finland         > 707.93       2.50
## 141                                France        <= 260.54       0.90
## 142                                France (260.54, 334.94]       5.76
## 143                                France (334.94, 409.54]      15.36
## 144                                France (409.54, 558.73]      48.67
## 145                                France (558.73, 633.33]      21.37
## 146                                France (633.33, 707.93]       7.10
## 147                                France         > 707.93       0.83
## 148                        United Kingdom        <= 260.54       0.37
## 149                        United Kingdom (260.54, 334.94]       3.41
## 150                        United Kingdom (334.94, 409.54]      13.55
## 151                        United Kingdom (409.54, 558.73]      49.93
## 152                        United Kingdom (558.73, 633.33]      21.75
## 153                        United Kingdom (633.33, 707.93]       9.18
## 154                        United Kingdom         > 707.93       1.81
## 155                               Georgia        <= 260.54       4.22
## 156                               Georgia (260.54, 334.94]      16.20
## 157                               Georgia (334.94, 409.54]      30.29
## 158                               Georgia (409.54, 558.73]      43.43
## 159                               Georgia (558.73, 633.33]       4.92
## 160                               Georgia (633.33, 707.93]       0.89
## 161                               Georgia         > 707.93       0.05
## 162                                Greece        <= 260.54       1.26
## 163                                Greece (260.54, 334.94]       9.23
## 164                                Greece (334.94, 409.54]      22.29
## 165                                Greece (409.54, 558.73]      53.34
## 166                                Greece (558.73, 633.33]      11.78
## 167                                Greece (633.33, 707.93]       1.99
## 168                                Greece         > 707.93       0.12
## 169                             Hong Kong        <= 260.54       0.10
## 170                             Hong Kong (260.54, 334.94]       1.54
## 171                             Hong Kong (334.94, 409.54]       7.73
## 172                             Hong Kong (409.54, 558.73]      56.08
## 173                             Hong Kong (558.73, 633.33]      27.34
## 174                             Hong Kong (633.33, 707.93]       6.78
## 175                             Hong Kong         > 707.93       0.42
## 176                               Croatia        <= 260.54       0.37
## 177                               Croatia (260.54, 334.94]       5.17
## 178                               Croatia (334.94, 409.54]      18.92
## 179                               Croatia (409.54, 558.73]      57.05
## 180                               Croatia (558.73, 633.33]      14.61
## 181                               Croatia (633.33, 707.93]       3.54
## 182                               Croatia         > 707.93       0.34
## 183                               Hungary        <= 260.54       0.79
## 184                               Hungary (260.54, 334.94]       6.81
## 185                               Hungary (334.94, 409.54]      18.41
## 186                               Hungary (409.54, 558.73]      52.57
## 187                               Hungary (558.73, 633.33]      16.70
## 188                               Hungary (633.33, 707.93]       4.34
## 189                               Hungary         > 707.93       0.37
## 190                             Indonesia        <= 260.54       1.08
## 191                             Indonesia (260.54, 334.94]      14.27
## 192                             Indonesia (334.94, 409.54]      40.79
## 193                             Indonesia (409.54, 558.73]      42.21
## 194                             Indonesia (558.73, 633.33]       1.55
## 195                             Indonesia (633.33, 707.93]       0.09
## 196                             Indonesia         > 707.93       0.00
## 197                               Ireland        <= 260.54       0.26
## 198                               Ireland (260.54, 334.94]       2.69
## 199                               Ireland (334.94, 409.54]      12.33
## 200                               Ireland (409.54, 558.73]      57.74
## 201                               Ireland (558.73, 633.33]      19.82
## 202                               Ireland (633.33, 707.93]       6.40
## 203                               Ireland         > 707.93       0.75
## 204                               Iceland        <= 260.54       0.73
## 205                               Iceland (260.54, 334.94]       5.78
## 206                               Iceland (334.94, 409.54]      19.12
## 207                               Iceland (409.54, 558.73]      55.81
## 208                               Iceland (558.73, 633.33]      14.82
## 209                               Iceland (633.33, 707.93]       3.45
## 210                               Iceland         > 707.93       0.29
## 211                                Israel        <= 260.54       2.17
## 212                                Israel (260.54, 334.94]       9.22
## 213                                Israel (334.94, 409.54]      20.06
## 214                                Israel (409.54, 558.73]      47.44
## 215                                Israel (558.73, 633.33]      15.31
## 216                                Israel (633.33, 707.93]       5.11
## 217                                Israel         > 707.93       0.70
## 218                                 Italy        <= 260.54       0.61
## 219                                 Italy (260.54, 334.94]       5.47
## 220                                 Italy (334.94, 409.54]      17.03
## 221                                 Italy (409.54, 558.73]      55.70
## 222                                 Italy (558.73, 633.33]      17.13
## 223                                 Italy (633.33, 707.93]       3.80
## 224                                 Italy         > 707.93       0.26
## 225                                Jordan        <= 260.54       4.26
## 226                                Jordan (260.54, 334.94]      15.34
## 227                                Jordan (334.94, 409.54]      30.39
## 228                                Jordan (409.54, 558.73]      46.70
## 229                                Jordan (558.73, 633.33]       3.13
## 230                                Jordan (633.33, 707.93]       0.18
## 231                                Jordan         > 707.93       0.00
## 232                                 Japan        <= 260.54       0.18
## 233                                 Japan (260.54, 334.94]       1.71
## 234                                 Japan (334.94, 409.54]       7.77
## 235                                 Japan (409.54, 558.73]      46.36
## 236                                 Japan (558.73, 633.33]      28.74
## 237                                 Japan (633.33, 707.93]      12.79
## 238                                 Japan         > 707.93       2.47
## 239                                 Korea        <= 260.54       0.42
## 240                                 Korea (260.54, 334.94]       2.89
## 241                                 Korea (334.94, 409.54]      11.10
## 242                                 Korea (409.54, 558.73]      50.73
## 243                                 Korea (558.73, 633.33]      24.18
## 244                                 Korea (633.33, 707.93]       9.20
## 245                                 Korea         > 707.93       1.47
## 246                                Kosovo        <= 260.54       4.29
## 247                                Kosovo (260.54, 334.94]      24.31
## 248                                Kosovo (334.94, 409.54]      39.21
## 249                                Kosovo (409.54, 558.73]      31.55
## 250                                Kosovo (558.73, 633.33]       0.63
## 251                                Kosovo (633.33, 707.93]       0.01
## 252                                Kosovo         > 707.93       0.00
## 253                               Lebanon        <= 260.54       6.69
## 254                               Lebanon (260.54, 334.94]      23.63
## 255                               Lebanon (334.94, 409.54]      32.42
## 256                               Lebanon (409.54, 558.73]      33.58
## 257                               Lebanon (558.73, 633.33]       3.21
## 258                               Lebanon (633.33, 707.93]       0.42
## 259                               Lebanon         > 707.93       0.04
## 260                             Lithuania        <= 260.54       0.45
## 261                             Lithuania (260.54, 334.94]       5.38
## 262                             Lithuania (334.94, 409.54]      18.67
## 263                             Lithuania (409.54, 558.73]      56.21
## 264                             Lithuania (558.73, 633.33]      15.16
## 265                             Lithuania (633.33, 707.93]       3.85
## 266                             Lithuania         > 707.93       0.28
## 267                            Luxembourg        <= 260.54       0.55
## 268                            Luxembourg (260.54, 334.94]       6.25
## 269                            Luxembourg (334.94, 409.54]      18.88
## 270                            Luxembourg (409.54, 558.73]      50.16
## 271                            Luxembourg (558.73, 633.33]      17.28
## 272                            Luxembourg (633.33, 707.93]       6.01
## 273                            Luxembourg         > 707.93       0.86
## 274                                Latvia        <= 260.54       0.10
## 275                                Latvia (260.54, 334.94]       2.60
## 276                                Latvia (334.94, 409.54]      14.32
## 277                                Latvia (409.54, 558.73]      61.69
## 278                                Latvia (558.73, 633.33]      17.45
## 279                                Latvia (633.33, 707.93]       3.52
## 280                                Latvia         > 707.93       0.31
## 281                                 Macao        <= 260.54       0.07
## 282                                 Macao (260.54, 334.94]       1.07
## 283                                 Macao (334.94, 409.54]       6.85
## 284                                 Macao (409.54, 558.73]      54.77
## 285                                 Macao (558.73, 633.33]      28.00
## 286                                 Macao (633.33, 707.93]       8.28
## 287                                 Macao         > 707.93       0.97
## 288                               Moldova        <= 260.54       2.29
## 289                               Moldova (260.54, 334.94]      11.66
## 290                               Moldova (334.94, 409.54]      28.12
## 291                               Moldova (409.54, 558.73]      51.27
## 292                               Moldova (558.73, 633.33]       5.90
## 293                               Moldova (633.33, 707.93]       0.72
## 294                               Moldova         > 707.93       0.03
## 295                                Mexico        <= 260.54       1.13
## 296                                Mexico (260.54, 334.94]      11.54
## 297                                Mexico (334.94, 409.54]      35.04
## 298                                Mexico (409.54, 558.73]      49.80
## 299                                Mexico (558.73, 633.33]       2.38
## 300                                Mexico (633.33, 707.93]       0.12
## 301                                Mexico         > 707.93       0.00
## 302                             Macedonia        <= 260.54       6.76
## 303                             Macedonia (260.54, 334.94]      22.25
## 304                             Macedonia (334.94, 409.54]      33.83
## 305                             Macedonia (409.54, 558.73]      34.93
## 306                             Macedonia (558.73, 633.33]       2.06
## 307                             Macedonia (633.33, 707.93]       0.16
## 308                             Macedonia         > 707.93       0.02
## 309                                 Malta        <= 260.54       3.90
## 310                                 Malta (260.54, 334.94]      10.65
## 311                                 Malta (334.94, 409.54]      17.96
## 312                                 Malta (409.54, 558.73]      45.12
## 313                                 Malta (558.73, 633.33]      14.73
## 314                                 Malta (633.33, 707.93]       6.09
## 315                                 Malta         > 707.93       1.56
## 316                            Montenegro        <= 260.54       3.16
## 317                            Montenegro (260.54, 334.94]      15.78
## 318                            Montenegro (334.94, 409.54]      32.09
## 319                            Montenegro (409.54, 558.73]      44.12
## 320                            Montenegro (558.73, 633.33]       4.37
## 321                            Montenegro (633.33, 707.93]       0.48
## 322                            Montenegro         > 707.93       0.01
## 323                           Netherlands        <= 260.54       0.29
## 324                           Netherlands (260.54, 334.94]       3.93
## 325                           Netherlands (334.94, 409.54]      14.19
## 326                           Netherlands (409.54, 558.73]      48.27
## 327                           Netherlands (558.73, 633.33]      22.28
## 328                           Netherlands (633.33, 707.93]       9.40
## 329                           Netherlands         > 707.93       1.64
## 330                                Norway        <= 260.54       0.60
## 331                                Norway (260.54, 334.94]       4.05
## 332                                Norway (334.94, 409.54]      14.13
## 333                                Norway (409.54, 558.73]      53.66
## 334                                Norway (558.73, 633.33]      19.57
## 335                                Norway (633.33, 707.93]       6.90
## 336                                Norway         > 707.93       1.09
## 337                           New Zealand        <= 260.54       0.41
## 338                           New Zealand (260.54, 334.94]       3.95
## 339                           New Zealand (334.94, 409.54]      13.15
## 340                           New Zealand (409.54, 558.73]      47.77
## 341                           New Zealand (558.73, 633.33]      21.79
## 342                           New Zealand (633.33, 707.93]      10.21
## 343                           New Zealand         > 707.93       2.71
## 344                                  Peru        <= 260.54       2.69
## 345                                  Peru (260.54, 334.94]      18.97
## 346                                  Peru (334.94, 409.54]      36.91
## 347                                  Peru (409.54, 558.73]      39.28
## 348                                  Peru (558.73, 633.33]       2.03
## 349                                  Peru (633.33, 707.93]       0.12
## 350                                  Peru         > 707.93       0.00
## 351                                Poland        <= 260.54       0.32
## 352                                Poland (260.54, 334.94]       2.50
## 353                                Poland (334.94, 409.54]      13.41
## 354                                Poland (409.54, 558.73]      56.40
## 355                                Poland (558.73, 633.33]      20.11
## 356                                Poland (633.33, 707.93]       6.21
## 357                                Poland         > 707.93       1.05
## 358                              Portugal        <= 260.54       0.20
## 359                              Portugal (260.54, 334.94]       3.23
## 360                              Portugal (334.94, 409.54]      14.04
## 361                              Portugal (409.54, 558.73]      53.91
## 362                              Portugal (558.73, 633.33]      21.20
## 363                              Portugal (633.33, 707.93]       6.69
## 364                              Portugal         > 707.93       0.73
## 365 Argentina (Ciudad Autónoma de Buenos)        <= 260.54       0.59
## 366 Argentina (Ciudad Autónoma de Buenos) (260.54, 334.94]       4.87
## 367 Argentina (Ciudad Autónoma de Buenos) (334.94, 409.54]      16.81
## 368 Argentina (Ciudad Autónoma de Buenos) (409.54, 558.73]      59.81
## 369 Argentina (Ciudad Autónoma de Buenos) (558.73, 633.33]      15.10
## 370 Argentina (Ciudad Autónoma de Buenos) (633.33, 707.93]       2.72
## 371 Argentina (Ciudad Autónoma de Buenos)         > 707.93       0.11
## 372                                 Qatar        <= 260.54       3.89
## 373                                 Qatar (260.54, 334.94]      17.86
## 374                                 Qatar (334.94, 409.54]      28.04
## 375                                 Qatar (409.54, 558.73]      40.97
## 376                                 Qatar (558.73, 633.33]       7.52
## 377                                 Qatar (633.33, 707.93]       1.59
## 378                                 Qatar         > 707.93       0.13
## 379                       B-S-J-G (China)        <= 260.54       0.59
## 380                       B-S-J-G (China) (260.54, 334.94]       3.78
## 381                       B-S-J-G (China) (334.94, 409.54]      11.84
## 382                       B-S-J-G (China) (409.54, 558.73]      46.45
## 383                       B-S-J-G (China) (558.73, 633.33]      23.75
## 384                       B-S-J-G (China) (633.33, 707.93]      11.42
## 385                       B-S-J-G (China)         > 707.93       2.17
## 386                       Spain (Regions)        <= 260.54       0.29
## 387                       Spain (Regions) (260.54, 334.94]       3.60
## 388                       Spain (Regions) (334.94, 409.54]      14.20
## 389                       Spain (Regions) (409.54, 558.73]      56.93
## 390                       Spain (Regions) (558.73, 633.33]      19.72
## 391                       Spain (Regions) (633.33, 707.93]       4.92
## 392                       Spain (Regions)         > 707.93       0.35
## 393                  Massachusettes (USA)        <= 260.54       0.21
## 394                  Massachusettes (USA) (260.54, 334.94]       2.05
## 395                  Massachusettes (USA) (334.94, 409.54]       9.72
## 396                  Massachusettes (USA) (409.54, 558.73]      48.31
## 397                  Massachusettes (USA) (558.73, 633.33]      25.62
## 398                  Massachusettes (USA) (633.33, 707.93]      11.43
## 399                  Massachusettes (USA)         > 707.93       2.66
## 400                     Puerto Rico (USA)        <= 260.54       3.54
## 401                     Puerto Rico (USA) (260.54, 334.94]      19.41
## 402                     Puerto Rico (USA) (334.94, 409.54]      32.36
## 403                     Puerto Rico (USA) (409.54, 558.73]      40.10
## 404                     Puerto Rico (USA) (558.73, 633.33]       4.13
## 405                     Puerto Rico (USA) (633.33, 707.93]       0.47
## 406                     Puerto Rico (USA)         > 707.93       0.00
## 407                  North Carolina (USA)        <= 260.54       0.20
## 408                  North Carolina (USA) (260.54, 334.94]       3.40
## 409                  North Carolina (USA) (334.94, 409.54]      14.55
## 410                  North Carolina (USA) (409.54, 558.73]      52.28
## 411                  North Carolina (USA) (558.73, 633.33]      20.44
## 412                  North Carolina (USA) (633.33, 707.93]       8.02
## 413                  North Carolina (USA)         > 707.93       1.11
## 414                               Romania        <= 260.54       0.90
## 415                               Romania (260.54, 334.94]       9.26
## 416                               Romania (334.94, 409.54]      28.61
## 417                               Romania (409.54, 558.73]      54.59
## 418                               Romania (558.73, 633.33]       5.95
## 419                               Romania (633.33, 707.93]       0.68
## 420                               Romania         > 707.93       0.00
## 421                    Russian Federation        <= 260.54       0.09
## 422                    Russian Federation (260.54, 334.94]       2.97
## 423                    Russian Federation (334.94, 409.54]      15.26
## 424                    Russian Federation (409.54, 558.73]      61.85
## 425                    Russian Federation (558.73, 633.33]      16.01
## 426                    Russian Federation (633.33, 707.93]       3.58
## 427                    Russian Federation         > 707.93       0.24
## 428                             Singapore        <= 260.54       0.17
## 429                             Singapore (260.54, 334.94]       1.97
## 430                             Singapore (334.94, 409.54]       7.46
## 431                             Singapore (409.54, 558.73]      38.46
## 432                             Singapore (558.73, 633.33]      27.75
## 433                             Singapore (633.33, 707.93]      18.58
## 434                             Singapore         > 707.93       5.60
## 435                       Slovak Republic        <= 260.54       2.03
## 436                       Slovak Republic (260.54, 334.94]       8.88
## 437                       Slovak Republic (334.94, 409.54]      19.68
## 438                       Slovak Republic (409.54, 558.73]      52.61
## 439                       Slovak Republic (558.73, 633.33]      13.14
## 440                       Slovak Republic (633.33, 707.93]       3.37
## 441                       Slovak Republic         > 707.93       0.30
## 442                              Slovenia        <= 260.54       0.22
## 443                              Slovenia (260.54, 334.94]       2.79
## 444                              Slovenia (334.94, 409.54]      11.99
## 445                              Slovenia (409.54, 558.73]      52.39
## 446                              Slovenia (558.73, 633.33]      22.04
## 447                              Slovenia (633.33, 707.93]       9.09
## 448                              Slovenia         > 707.93       1.48
## 449                                Sweden        <= 260.54       0.94
## 450                                Sweden (260.54, 334.94]       5.85
## 451                                Sweden (334.94, 409.54]      14.72
## 452                                Sweden (409.54, 558.73]      50.82
## 453                                Sweden (558.73, 633.33]      19.16
## 454                                Sweden (633.33, 707.93]       7.18
## 455                                Sweden         > 707.93       1.34
## 456                        Chinese Taipei        <= 260.54       0.36
## 457                        Chinese Taipei (260.54, 334.94]       2.61
## 458                        Chinese Taipei (334.94, 409.54]       9.43
## 459                        Chinese Taipei (409.54, 558.73]      45.33
## 460                        Chinese Taipei (558.73, 633.33]      26.88
## 461                        Chinese Taipei (633.33, 707.93]      12.73
## 462                        Chinese Taipei         > 707.93       2.65
## 463                              Thailand        <= 260.54       1.07
## 464                              Thailand (260.54, 334.94]      11.95
## 465                              Thailand (334.94, 409.54]      33.72
## 466                              Thailand (409.54, 558.73]      48.14
## 467                              Thailand (558.73, 633.33]       4.65
## 468                              Thailand (633.33, 707.93]       0.45
## 469                              Thailand         > 707.93       0.01
## 470                   Trinidad and Tobago        <= 260.54       2.99
## 471                   Trinidad and Tobago (260.54, 334.94]      14.91
## 472                   Trinidad and Tobago (334.94, 409.54]      27.91
## 473                   Trinidad and Tobago (409.54, 558.73]      45.55
## 474                   Trinidad and Tobago (558.73, 633.33]       7.19
## 475                   Trinidad and Tobago (633.33, 707.93]       1.40
## 476                   Trinidad and Tobago         > 707.93       0.05
## 477                               Tunisia        <= 260.54       1.62
## 478                               Tunisia (260.54, 334.94]      20.10
## 479                               Tunisia (334.94, 409.54]      44.09
## 480                               Tunisia (409.54, 558.73]      33.41
## 481                               Tunisia (558.73, 633.33]       0.73
## 482                               Tunisia (633.33, 707.93]       0.05
## 483                               Tunisia         > 707.93       0.00
## 484                                Turkey        <= 260.54       1.13
## 485                                Turkey (260.54, 334.94]      11.63
## 486                                Turkey (334.94, 409.54]      31.63
## 487                                Turkey (409.54, 558.73]      50.42
## 488                                Turkey (558.73, 633.33]       4.95
## 489                                Turkey (633.33, 707.93]       0.24
## 490                                Turkey         > 707.93       0.01
## 491                               Uruguay        <= 260.54       1.15
## 492                               Uruguay (260.54, 334.94]      11.42
## 493                               Uruguay (334.94, 409.54]      28.08
## 494                               Uruguay (409.54, 558.73]      50.68
## 495                               Uruguay (558.73, 633.33]       7.41
## 496                               Uruguay (633.33, 707.93]       1.21
## 497                               Uruguay         > 707.93       0.04
## 498                         United States        <= 260.54       0.46
## 499                         United States (260.54, 334.94]       4.31
## 500                         United States (334.94, 409.54]      15.44
## 501                         United States (409.54, 558.73]      51.98
## 502                         United States (558.73, 633.33]      19.28
## 503                         United States (633.33, 707.93]       7.30
## 504                         United States         > 707.93       1.23
## 505                               Vietnam        <= 260.54       0.01
## 506                               Vietnam (260.54, 334.94]       0.25
## 507                               Vietnam (334.94, 409.54]       5.72
## 508                               Vietnam (409.54, 558.73]      61.87
## 509                               Vietnam (558.73, 633.33]      23.91
## 510                               Vietnam (633.33, 707.93]       7.05
## 511                               Vietnam         > 707.93       1.19
##     Std. err.
## 1        0.31
## 2        0.76
## 3        1.22
## 4        1.39
## 5        0.56
## 6        0.14
## 7        0.04
## 8        0.28
## 9        0.58
## 10       0.70
## 11       0.80
## 12       0.53
## 13       0.20
## 14       0.06
## 15       0.11
## 16       0.28
## 17       0.39
## 18       0.57
## 19       0.53
## 20       0.45
## 21       0.22
## 22       0.21
## 23       0.48
## 24       0.75
## 25       0.96
## 26       0.79
## 27       0.49
## 28       0.18
## 29       0.12
## 30       0.42
## 31       0.64
## 32       0.93
## 33       0.67
## 34       0.35
## 35       0.11
## 36       0.44
## 37       1.00
## 38       1.15
## 39       1.69
## 40       1.01
## 41       0.41
## 42       0.12
## 43       0.35
## 44       0.67
## 45       0.61
## 46       0.90
## 47       0.40
## 48       0.13
## 49       0.02
## 50       0.05
## 51       0.18
## 52       0.46
## 53       0.76
## 54       0.76
## 55       0.54
## 56       0.20
## 57       0.14
## 58       0.50
## 59       0.74
## 60       1.09
## 61       0.86
## 62       0.65
## 63       0.25
## 64       0.21
## 65       0.54
## 66       0.90
## 67       1.02
## 68       0.67
## 69       0.17
## 70       0.03
## 71       0.33
## 72       0.90
## 73       0.87
## 74       1.23
## 75       0.36
## 76       0.10
## 77       0.00
## 78       0.24
## 79       0.71
## 80       0.94
## 81       1.10
## 82       0.34
## 83       0.09
## 84       0.01
## 85       0.12
## 86       0.48
## 87       0.78
## 88       0.99
## 89       0.70
## 90       0.43
## 91       0.19
## 92       0.13
## 93       0.42
## 94       0.63
## 95       0.93
## 96       0.83
## 97       0.53
## 98       0.20
## 99       0.09
## 100      0.32
## 101      0.72
## 102      1.25
## 103      0.76
## 104      0.65
## 105      0.16
## 106      0.99
## 107      1.34
## 108      1.49
## 109      1.07
## 110      0.13
## 111      0.02
## 112      0.00
## 113      0.52
## 114      1.00
## 115      1.00
## 116      1.36
## 117      0.22
## 118      0.04
## 119      0.00
## 120      0.09
## 121      0.45
## 122      0.74
## 123      0.80
## 124      0.76
## 125      0.39
## 126      0.08
## 127      0.03
## 128      0.23
## 129      0.67
## 130      1.09
## 131      1.06
## 132      0.61
## 133      0.26
## 134      0.08
## 135      0.30
## 136      0.52
## 137      0.89
## 138      0.83
## 139      0.58
## 140      0.28
## 141      0.19
## 142      0.45
## 143      0.60
## 144      0.98
## 145      0.75
## 146      0.60
## 147      0.13
## 148      0.11
## 149      0.32
## 150      0.67
## 151      0.89
## 152      0.68
## 153      0.62
## 154      0.24
## 155      0.40
## 156      1.07
## 157      1.13
## 158      1.21
## 159      0.55
## 160      0.22
## 161      0.04
## 162      0.32
## 163      0.99
## 164      1.12
## 165      1.61
## 166      0.85
## 167      0.28
## 168      0.05
## 169      0.06
## 170      0.26
## 171      0.61
## 172      1.20
## 173      1.03
## 174      0.58
## 175      0.15
## 176      0.12
## 177      0.48
## 178      0.90
## 179      1.07
## 180      0.73
## 181      0.38
## 182      0.10
## 183      0.19
## 184      0.64
## 185      0.90
## 186      1.22
## 187      0.74
## 188      0.39
## 189      0.13
## 190      0.35
## 191      1.07
## 192      1.51
## 193      1.63
## 194      0.30
## 195      0.05
## 196      0.00
## 197      0.10
## 198      0.38
## 199      0.93
## 200      0.97
## 201      0.79
## 202      0.38
## 203      0.13
## 204      0.25
## 205      0.50
## 206      0.75
## 207      0.90
## 208      0.80
## 209      0.40
## 210      0.10
## 211      0.37
## 212      0.71
## 213      0.88
## 214      1.08
## 215      0.74
## 216      0.50
## 217      0.14
## 218      0.15
## 219      0.51
## 220      0.72
## 221      1.00
## 222      0.73
## 223      0.32
## 224      0.09
## 225      0.54
## 226      0.93
## 227      0.87
## 228      1.32
## 229      0.38
## 230      0.06
## 231      0.00
## 232      0.07
## 233      0.26
## 234      0.52
## 235      1.21
## 236      0.99
## 237      0.83
## 238      0.40
## 239      0.12
## 240      0.35
## 241      0.70
## 242      1.15
## 243      1.00
## 244      0.70
## 245      0.23
## 246      0.45
## 247      0.92
## 248      1.14
## 249      1.06
## 250      0.18
## 251      0.01
## 252      0.00
## 253      0.76
## 254      1.37
## 255      1.32
## 256      1.80
## 257      0.44
## 258      0.15
## 259      0.04
## 260      0.12
## 261      0.51
## 262      0.81
## 263      1.02
## 264      0.75
## 265      0.44
## 266      0.11
## 267      0.16
## 268      0.51
## 269      0.54
## 270      0.74
## 271      0.71
## 272      0.39
## 273      0.18
## 274      0.09
## 275      0.33
## 276      0.63
## 277      0.93
## 278      0.80
## 279      0.36
## 280      0.10
## 281      0.05
## 282      0.19
## 283      0.42
## 284      0.98
## 285      0.78
## 286      0.54
## 287      0.19
## 288      0.29
## 289      0.52
## 290      0.79
## 291      0.86
## 292      0.60
## 293      0.19
## 294      0.03
## 295      0.27
## 296      0.69
## 297      1.05
## 298      1.25
## 299      0.27
## 300      0.06
## 301      0.00
## 302      0.53
## 303      0.88
## 304      0.80
## 305      0.80
## 306      0.36
## 307      0.07
## 308      0.03
## 309      0.46
## 310      0.57
## 311      0.82
## 312      0.86
## 313      1.00
## 314      0.38
## 315      0.30
## 316      0.29
## 317      0.52
## 318      0.68
## 319      0.74
## 320      0.34
## 321      0.11
## 322      0.01
## 323      0.08
## 324      0.42
## 325      0.68
## 326      1.07
## 327      0.77
## 328      0.48
## 329      0.23
## 330      0.14
## 331      0.49
## 332      0.68
## 333      0.96
## 334      0.77
## 335      0.48
## 336      0.20
## 337      0.12
## 338      0.36
## 339      0.81
## 340      1.11
## 341      0.83
## 342      0.63
## 343      0.36
## 344      0.38
## 345      0.84
## 346      1.06
## 347      1.29
## 348      0.30
## 349      0.06
## 350      0.00
## 351      0.12
## 352      0.33
## 353      0.70
## 354      0.92
## 355      0.75
## 356      0.55
## 357      0.20
## 358      0.06
## 359      0.38
## 360      0.87
## 361      0.81
## 362      0.78
## 363      0.48
## 364      0.13
## 365      0.35
## 366      0.78
## 367      1.72
## 368      1.83
## 369      1.85
## 370      0.84
## 371      0.11
## 372      0.22
## 373      0.42
## 374      0.65
## 375      0.46
## 376      0.37
## 377      0.15
## 378      0.05
## 379      0.20
## 380      0.49
## 381      0.99
## 382      1.70
## 383      1.08
## 384      1.07
## 385      0.46
## 386      0.06
## 387      0.27
## 388      0.45
## 389      0.46
## 390      0.48
## 391      0.21
## 392      0.06
## 393      0.15
## 394      0.47
## 395      1.25
## 396      2.17
## 397      1.79
## 398      1.62
## 399      0.73
## 400      0.89
## 401      2.33
## 402      2.13
## 403      2.96
## 404      0.86
## 405      0.21
## 406      0.00
## 407      0.14
## 408      0.65
## 409      1.57
## 410      1.85
## 411      1.76
## 412      0.88
## 413      0.34
## 414      0.30
## 415      0.86
## 416      1.30
## 417      1.55
## 418      0.70
## 419      0.17
## 420      0.01
## 421      0.06
## 422      0.43
## 423      0.97
## 424      0.91
## 425      0.85
## 426      0.38
## 427      0.08
## 428      0.06
## 429      0.21
## 430      0.44
## 431      0.57
## 432      0.68
## 433      0.65
## 434      0.34
## 435      0.31
## 436      0.76
## 437      0.92
## 438      1.10
## 439      0.66
## 440      0.30
## 441      0.10
## 442      0.10
## 443      0.30
## 444      0.53
## 445      0.78
## 446      0.85
## 447      0.56
## 448      0.28
## 449      0.17
## 450      0.53
## 451      0.88
## 452      0.85
## 453      0.90
## 454      0.66
## 455      0.25
## 456      0.12
## 457      0.27
## 458      0.73
## 459      1.25
## 460      0.77
## 461      0.76
## 462      0.51
## 463      0.26
## 464      0.81
## 465      1.13
## 466      1.28
## 467      0.60
## 468      0.17
## 469      0.02
## 470      0.53
## 471      0.67
## 472      0.93
## 473      0.75
## 474      0.53
## 475      0.21
## 476      0.05
## 477      0.34
## 478      1.14
## 479      1.02
## 480      1.22
## 481      0.26
## 482      0.04
## 483      0.00
## 484      0.29
## 485      0.97
## 486      1.54
## 487      1.89
## 488      0.87
## 489      0.12
## 490      0.02
## 491      0.20
## 492      0.69
## 493      0.87
## 494      1.06
## 495      0.56
## 496      0.22
## 497      0.04
## 498      0.16
## 499      0.48
## 500      0.81
## 501      0.94
## 502      0.98
## 503      0.57
## 504      0.24
## 505      0.04
## 506      0.14
## 507      0.73
## 508      1.67
## 509      1.24
## 510      0.85
## 511      0.48

Average socio-economic status of students (ESCS) (PISA 2015 report, Table I.6.2a)

pisa2015.mean(variable="ESCS", by="CNT", data=pisa15)
##                                      CNT  Freq  Mean s.e.   SD  s.e
## 1                                Albania     0   NaN  NaN 0.00 0.00
## 2                   United Arab Emirates 13869  0.50 0.01 0.73 0.01
## 3                              Australia 13989  0.27 0.01 0.78 0.01
## 4                                Austria  6939  0.09 0.02 0.85 0.01
## 5                                Belgium  9452  0.16 0.02 0.90 0.01
## 6                               Bulgaria  5793 -0.08 0.03 0.98 0.02
## 7                                 Brazil 21604 -0.96 0.03 1.12 0.01
## 8                                 Canada 19424  0.53 0.02 0.80 0.01
## 9                            Switzerland  5794  0.14 0.02 0.91 0.01
## 10                                 Chile  6949 -0.49 0.03 1.08 0.01
## 11                              Colombia 11561 -0.99 0.04 1.11 0.02
## 12                            Costa Rica  6720 -0.80 0.04 1.14 0.01
## 13                        Czech Republic  6788 -0.21 0.01 0.79 0.01
## 14                               Germany  5630  0.12 0.02 0.88 0.01
## 15                               Denmark  6985  0.59 0.02 0.86 0.01
## 16                    Dominican Republic  4695 -0.90 0.03 1.04 0.01
## 17                               Algeria  5393 -1.28 0.04 1.02 0.02
## 18                                 Spain  6678 -0.51 0.04 1.19 0.01
## 19                               Estonia  5499  0.05 0.01 0.76 0.01
## 20                               Finland  5812  0.25 0.02 0.75 0.01
## 21                                France  5941 -0.14 0.02 0.79 0.01
## 22                        United Kingdom 13516  0.21 0.02 0.84 0.01
## 23                               Georgia  5267 -0.33 0.02 0.87 0.01
## 24                                Greece  5492 -0.08 0.03 0.96 0.01
## 25                             Hong Kong  5244 -0.53 0.03 0.94 0.01
## 26                               Croatia  5728 -0.24 0.02 0.82 0.01
## 27                               Hungary  5570 -0.23 0.02 0.95 0.01
## 28                             Indonesia  6502 -1.87 0.04 1.11 0.02
## 29                               Ireland  5667  0.16 0.02 0.84 0.01
## 30                               Iceland  3283  0.73 0.01 0.72 0.01
## 31                                Israel  6501  0.16 0.03 0.84 0.02
## 32                                 Italy 11330 -0.07 0.02 0.94 0.01
## 33                                Jordan  7182 -0.42 0.03 1.01 0.02
## 34                                 Japan  6557 -0.18 0.01 0.70 0.01
## 35                                 Korea  5548 -0.20 0.02 0.68 0.01
## 36                                Kosovo  4765 -0.14 0.02 0.87 0.01
## 37                               Lebanon  4504 -0.60 0.04 1.07 0.02
## 38                             Lithuania  6334 -0.06 0.02 0.86 0.01
## 39                            Luxembourg  5183  0.07 0.01 1.09 0.01
## 40                                Latvia  4817 -0.44 0.02 0.91 0.01
## 41                                 Macao  4462 -0.54 0.01 0.85 0.01
## 42                               Moldova  5288 -0.69 0.02 0.89 0.01
## 43                                Mexico  7507 -1.22 0.04 1.21 0.02
## 44                             Macedonia  5239 -0.23 0.01 0.89 0.01
## 45                                 Malta  3602 -0.05 0.01 0.95 0.01
## 46                            Montenegro  5560 -0.18 0.01 0.82 0.01
## 47                           Netherlands  5324  0.16 0.02 0.76 0.01
## 48                                Norway  5286  0.48 0.02 0.72 0.01
## 49                           New Zealand  4334  0.17 0.02 0.77 0.01
## 50                                  Peru  6944 -1.08 0.04 1.20 0.02
## 51                                Poland  4446 -0.39 0.02 0.82 0.01
## 52                              Portugal  7225 -0.39 0.03 1.14 0.01
## 53 Argentina (Ciudad Autónoma de Buenos)  1614  0.01 0.09 1.15 0.04
## 54                                 Qatar 11930  0.58 0.01 0.77 0.01
## 55                       B-S-J-G (China)  9799 -1.07 0.04 1.10 0.02
## 56                       Spain (Regions) 32035 -0.52 0.02 1.18 0.01
## 57                  Massachusettes (USA)  1624  0.21 0.08 0.96 0.03
## 58                     Puerto Rico (USA)  1385 -0.30 0.06 0.89 0.03
## 59                  North Carolina (USA)  1869  0.02 0.04 1.00 0.02
## 60                               Romania  4873 -0.58 0.04 0.87 0.02
## 61                    Russian Federation  5789  0.05 0.02 0.73 0.01
## 62                             Singapore  6090  0.03 0.01 0.91 0.01
## 63                       Slovak Republic  6257 -0.11 0.02 0.94 0.02
## 64                              Slovenia  6343  0.03 0.01 0.81 0.01
## 65                                Sweden  5313  0.33 0.02 0.81 0.01
## 66                        Chinese Taipei  7687 -0.21 0.02 0.83 0.01
## 67                              Thailand  8096 -1.23 0.04 1.08 0.02
## 68                   Trinidad and Tobago  4514 -0.23 0.01 0.92 0.01
## 69                               Tunisia  5150 -0.83 0.03 1.14 0.02
## 70                                Turkey  5859 -1.43 0.05 1.17 0.02
## 71                               Uruguay  5959 -0.78 0.02 1.09 0.01
## 72                         United States  5638  0.10 0.04 1.00 0.02
## 73                               Vietnam  5825 -1.87 0.05 1.11 0.03

Average socio-economic status of students (ESCS) and science performance (PISA 2015 report, Table I.6.3a)

pisa2015.reg.pv(pvlabel="SCIE", x="ESCS", by = "CNT", data=pisa15)
## $`United Arab Emirates`
##             Estimate Std. Error t value
## (Intercept)   422.72       2.30  183.40
## ESCS           29.65       1.94   15.31
## R-squared       0.05       0.01    7.71
## 
## $Australia
##             Estimate Std. Error t value
## (Intercept)   500.40       1.58  316.15
## ESCS           43.78       1.55   28.17
## R-squared       0.12       0.01   14.21
## 
## $Austria
##             Estimate Std. Error t value
## (Intercept)   491.59       2.09  235.32
## ESCS           45.40       2.12   21.45
## R-squared       0.16       0.01   11.42
## 
## $Belgium
##             Estimate Std. Error t value
## (Intercept)   495.58       1.78  278.86
## ESCS           48.17       1.80   26.70
## R-squared       0.19       0.01   14.05
## 
## $Bulgaria
##             Estimate Std. Error t value
## (Intercept)   450.48       3.55  126.99
## ESCS           41.12       2.37   17.31
## R-squared       0.16       0.02   10.73
## 
## $Brazil
##             Estimate Std. Error t value
## (Intercept)   428.26       3.05  140.46
## ESCS           27.34       1.72   15.86
## R-squared       0.12       0.01    8.50
## 
## $Canada
##             Estimate Std. Error t value
## (Intercept)   510.87       1.80  284.00
## ESCS           33.65       1.67   20.09
## R-squared       0.09       0.01   10.57
## 
## $Switzerland
##             Estimate Std. Error t value
## (Intercept)   500.23       2.59  193.27
## ESCS           42.81       2.03   21.14
## R-squared       0.16       0.01   12.29
## 
## $Chile
##             Estimate Std. Error t value
## (Intercept)   463.44       2.29  202.08
## ESCS           32.35       1.45   22.34
## R-squared       0.17       0.01   12.06
## 
## $Colombia
##             Estimate Std. Error t value
## (Intercept)   442.09       2.63  167.94
## ESCS           26.65       1.78   14.95
## R-squared       0.14       0.02    7.74
## 
## $`Costa Rica`
##             Estimate Std. Error t value
## (Intercept)   438.90       2.20  199.90
## ESCS           24.01       1.43   16.83
## R-squared       0.16       0.02    9.94
## 
## $`Czech Republic`
##             Estimate Std. Error t value
## (Intercept)   504.56       1.99  254.04
## ESCS           51.68       2.19   23.64
## R-squared       0.19       0.01   15.19
## 
## $Germany
##             Estimate Std. Error t value
## (Intercept)   511.04       2.45  208.51
## ESCS           41.71       2.12   19.64
## R-squared       0.16       0.01   11.44
## 
## $Denmark
##             Estimate Std. Error t value
## (Intercept)   483.03       2.10  230.47
## ESCS           33.54       1.85   18.08
## R-squared       0.10       0.01    9.71
## 
## $`Dominican Republic`
##             Estimate Std. Error t value
## (Intercept)   354.29       3.83   92.53
## ESCS           25.01       2.30   10.85
## R-squared       0.13       0.02    6.49
## 
## $Algeria
##             Estimate Std. Error t value
## (Intercept)   386.52       4.96   77.93
## ESCS            8.06       2.36    3.42
## R-squared       0.01       0.01    1.81
## 
## $Spain
##             Estimate Std. Error t value
## (Intercept)   507.12       1.80  281.51
## ESCS           27.06       1.30   20.82
## R-squared       0.13       0.01   11.09
## 
## $Estonia
##             Estimate Std. Error t value
## (Intercept)   533.40       2.17  246.29
## ESCS           32.33       2.01   16.07
## R-squared       0.08       0.01    8.55
## 
## $Finland
##             Estimate Std. Error t value
## (Intercept)   520.87       2.15  242.73
## ESCS           40.48       2.42   16.70
## R-squared       0.10       0.01    9.11
## 
## $France
##             Estimate Std. Error t value
## (Intercept)   505.42       1.80  281.52
## ESCS           57.01       2.16   26.42
## R-squared       0.20       0.01   14.64
## 
## $`United Kingdom`
##             Estimate Std. Error t value
## (Intercept)   503.73       2.12  237.14
## ESCS           37.45       1.94   19.34
## R-squared       0.11       0.01   10.53
## 
## $Georgia
##             Estimate Std. Error t value
## (Intercept)   422.96       2.55  165.71
## ESCS           34.29       2.19   15.68
## R-squared       0.11       0.01    8.82
## 
## $Greece
##             Estimate Std. Error t value
## (Intercept)   457.94       3.34  137.04
## ESCS           33.82       2.12   15.96
## R-squared       0.13       0.01    9.22
## 
## $`Hong Kong`
##             Estimate Std. Error t value
## (Intercept)   534.02       2.69  198.43
## ESCS           18.67       1.94    9.63
## R-squared       0.05       0.01    5.05
## 
## $Croatia
##             Estimate Std. Error t value
## (Intercept)   484.63       2.37  204.90
## ESCS           37.77       1.95   19.40
## R-squared       0.12       0.01   10.49
## 
## $Hungary
##             Estimate Std. Error t value
## (Intercept)   487.45       2.21  220.63
## ESCS           46.59       1.94   24.00
## R-squared       0.21       0.01   15.20
## 
## $Indonesia
##             Estimate Std. Error t value
## (Intercept)   444.91       4.50   98.90
## ESCS           22.31       1.85   12.07
## R-squared       0.13       0.02    6.50
## 
## $Ireland
##             Estimate Std. Error t value
## (Intercept)   496.94       2.32  214.16
## ESCS           37.59       1.70   22.07
## R-squared       0.13       0.01   11.68
## 
## $Iceland
##             Estimate Std. Error t value
## (Intercept)   453.88       2.35  193.22
## ESCS           27.58       2.31   11.96
## R-squared       0.05       0.01    6.15
## 
## $Israel
##             Estimate Std. Error t value
## (Intercept)   461.45       2.82  163.59
## ESCS           41.64       2.40   17.38
## R-squared       0.11       0.01    8.43
## 
## $Italy
##             Estimate Std. Error t value
## (Intercept)   483.52       2.43  199.04
## ESCS           29.86       1.79   16.65
## R-squared       0.10       0.01    9.01
## 
## $Jordan
##             Estimate Std. Error t value
## (Intercept)   420.71       2.55  165.30
## ESCS           25.29       1.92   13.16
## R-squared       0.09       0.01    6.95
## 
## $Japan
##             Estimate Std. Error t value
## (Intercept)   547.03       2.73  200.39
## ESCS           41.87       2.38   17.63
## R-squared       0.10       0.01    9.27
## 
## $Korea
##             Estimate Std. Error t value
## (Intercept)   524.91       2.69  194.90
## ESCS           44.29       2.83   15.67
## R-squared       0.10       0.01    7.79
## 
## $Kosovo
##             Estimate Std. Error t value
## (Intercept)   381.68       1.99  192.02
## ESCS           18.38       1.75   10.48
## R-squared       0.05       0.01    5.45
## 
## $Lebanon
##             Estimate Std. Error t value
## (Intercept)   402.80       4.05   99.49
## ESCS           26.23       2.59   10.13
## R-squared       0.10       0.02    5.16
## 
## $Lithuania
##             Estimate Std. Error t value
## (Intercept)   478.37       2.40  199.44
## ESCS           35.70       2.24   15.97
## R-squared       0.12       0.01    8.74
## 
## $Luxembourg
##             Estimate Std. Error t value
## (Intercept)   480.64       1.43  335.35
## ESCS           41.34       1.24   33.21
## R-squared       0.21       0.01   18.57
## 
## $Latvia
##             Estimate Std. Error t value
## (Intercept)   502.31       1.66  301.85
## ESCS           26.41       1.71   15.42
## R-squared       0.09       0.01    8.36
## 
## $Macao
##             Estimate Std. Error t value
## (Intercept)   535.37       1.64  327.33
## ESCS           12.37       1.78    6.96
## R-squared       0.02       0.00    3.55
## 
## $Moldova
##             Estimate Std. Error t value
## (Intercept)   450.72       2.41  187.24
## ESCS           32.56       2.12   15.32
## R-squared       0.12       0.01    8.06
## 
## $Mexico
##             Estimate Std. Error t value
## (Intercept)   439.63       2.48  177.36
## ESCS           19.41       1.26   15.44
## R-squared       0.11       0.01    7.75
## 
## $Macedonia
##             Estimate Std. Error t value
## (Intercept)   390.04       1.55  250.85
## ESCS           24.75       1.98   12.52
## R-squared       0.07       0.01    7.21
## 
## $Malta
##             Estimate Std. Error t value
## (Intercept)   468.11       1.94  241.30
## ESCS           46.90       2.07   22.71
## R-squared       0.14       0.01   12.87
## 
## $Montenegro
##             Estimate Std. Error t value
## (Intercept)   416.00       1.23  338.94
## ESCS           22.97       1.72   13.38
## R-squared       0.05       0.01    6.83
## 
## $Netherlands
##             Estimate Std. Error t value
## (Intercept)   501.68       2.26  221.60
## ESCS           46.84       2.67   17.54
## R-squared       0.13       0.01    9.17
## 
## $Norway
##             Estimate Std. Error t value
## (Intercept)   481.94       1.88  256.94
## ESCS           37.48       2.28   16.41
## R-squared       0.08       0.01    8.70
## 
## $`New Zealand`
##             Estimate Std. Error t value
## (Intercept)   508.34       2.19  232.56
## ESCS           48.71       2.72   17.91
## R-squared       0.14       0.01   10.40
## 
## $Peru
##             Estimate Std. Error t value
## (Intercept)   428.69       2.68  160.14
## ESCS           29.59       1.48   20.04
## R-squared       0.22       0.02   11.73
## 
## $Poland
##             Estimate Std. Error t value
## (Intercept)   517.92       2.41  215.02
## ESCS           40.06       2.20   18.22
## R-squared       0.13       0.01    9.60
## 
## $Portugal
##             Estimate Std. Error t value
## (Intercept)   513.57       2.24  228.99
## ESCS           30.84       1.61   19.11
## R-squared       0.15       0.01   10.53
## 
## $`Argentina (Ciudad Autónoma de Buenos)`
##             Estimate Std. Error t value
## (Intercept)   474.67       4.68  101.52
## ESCS           37.35       2.80   13.36
## R-squared       0.26       0.03    8.10
## 
## $Qatar
##             Estimate Std. Error t value
## (Intercept)   403.21       1.43  282.46
## ESCS           26.73       1.56   17.12
## R-squared       0.04       0.01    8.61
## 
## $`B-S-J-G (China)`
##             Estimate Std. Error t value
## (Intercept)   561.17       4.67  120.09
## ESCS           40.37       2.52   16.01
## R-squared       0.18       0.02    7.72
## 
## $`Spain (Regions)`
##             Estimate Std. Error t value
## (Intercept)   509.50       1.18  431.92
## ESCS           27.36       0.83   33.16
## R-squared       0.13       0.01   16.63
## 
## $`Massachusettes (USA)`
##             Estimate Std. Error t value
## (Intercept)   523.00       4.58  114.11
## ESCS           37.20       3.65   10.18
## R-squared       0.14       0.03    5.50
## 
## $`Puerto Rico (USA)`
##             Estimate Std. Error t value
## (Intercept)   415.48       4.69   88.57
## ESCS           40.64       3.48   11.69
## R-squared       0.18       0.03    6.10
## 
## $`North Carolina (USA)`
##             Estimate Std. Error t value
## (Intercept)   502.29       4.30  116.94
## ESCS           28.84       3.64    7.92
## R-squared       0.09       0.02    4.22
## 
## $Romania
##             Estimate Std. Error t value
## (Intercept)   454.69       3.10  146.77
## ESCS           33.90       2.51   13.50
## R-squared       0.14       0.02    7.36
## 
## $`Russian Federation`
##             Estimate Std. Error t value
## (Intercept)   486.68       2.61  186.31
## ESCS           28.51       2.62   10.87
## R-squared       0.07       0.01    5.92
## 
## $Singapore
##             Estimate Std. Error t value
## (Intercept)   554.34       1.38  402.85
## ESCS           46.71       1.64   28.43
## R-squared       0.17       0.01   16.26
## 
## $`Slovak Republic`
##             Estimate Std. Error t value
## (Intercept)   466.51       2.35  198.19
## ESCS           41.49       2.43   17.09
## R-squared       0.16       0.01   10.80
## 
## $Slovenia
##             Estimate Std. Error t value
## (Intercept)   512.20       1.39  369.14
## ESCS           42.66       1.58   27.04
## R-squared       0.13       0.01   14.16
## 
## $Sweden
##             Estimate Std. Error t value
## (Intercept)   481.17       2.69  178.77
## ESCS           43.56       2.21   19.71
## R-squared       0.12       0.01   10.68
## 
## $`Chinese Taipei`
##             Estimate Std. Error t value
## (Intercept)   542.04       2.33  233.10
## ESCS           44.86       2.86   15.69
## R-squared       0.14       0.01    9.75
## 
## $Thailand
##             Estimate Std. Error t value
## (Intercept)   448.42       4.49   99.87
## ESCS           21.52       2.37    9.08
## R-squared       0.09       0.02    4.57
## 
## $`Trinidad and Tobago`
##             Estimate Std. Error t value
## (Intercept)   434.65       1.85  234.68
## ESCS           31.48       1.48   21.27
## R-squared       0.10       0.01   10.26
## 
## $Tunisia
##             Estimate Std. Error t value
## (Intercept)   401.05       2.80  143.36
## ESCS           16.91       1.71    9.90
## R-squared       0.09       0.02    5.76
## 
## $Turkey
##             Estimate Std. Error t value
## (Intercept)   454.84       4.86   93.56
## ESCS           20.35       2.19    9.31
## R-squared       0.09       0.02    4.78
## 
## $Uruguay
##             Estimate Std. Error t value
## (Intercept)   460.31       2.34  196.85
## ESCS           31.65       1.45   21.79
## R-squared       0.16       0.01   11.99
## 
## $`United States`
##             Estimate Std. Error t value
## (Intercept)   493.89       2.62  188.87
## ESCS           33.17       1.91   17.38
## R-squared       0.11       0.01    9.32
## 
## $Vietnam
##             Estimate Std. Error t value
## (Intercept)   567.08       6.96   81.51
## ESCS           22.72       2.72    8.36
## R-squared       0.11       0.02    4.84

Index of shortage of educational material1, science performance and school characteristics (PISA 2015 report, Table II.6.2)

pisa2015.mean(variable="EDUSHORT", by="CNT", data=pisa15)
##                                      CNT  Freq  Mean s.e.   SD  s.e
## 1                                Albania  5186  0.64 0.09 1.12 0.07
## 2                   United Arab Emirates 12121 -0.05 0.07 1.24 0.06
## 3                              Australia 12560 -0.39 0.03 0.76 0.03
## 4                                Austria  6868 -0.27 0.06 0.87 0.08
## 5                                Belgium  8917  0.11 0.06 0.85 0.04
## 6                               Bulgaria  5848 -0.26 0.07 0.80 0.06
## 7                                 Brazil 17714 -0.05 0.05 0.96 0.03
## 8                                 Canada 16844 -0.46 0.04 0.69 0.03
## 9                            Switzerland  5493 -0.38 0.05 0.75 0.04
## 10                                 Chile  6850 -0.32 0.06 0.79 0.04
## 11                              Colombia 10213  0.64 0.09 1.23 0.06
## 12                            Costa Rica  6752  1.03 0.11 1.50 0.07
## 13                        Czech Republic  6778 -0.13 0.05 0.78 0.04
## 14                               Germany  4982  0.06 0.07 0.80 0.05
## 15                               Denmark  5552 -0.21 0.08 0.88 0.09
## 16                    Dominican Republic  4478  0.11 0.09 1.10 0.08
## 17                               Algeria  5361  0.20 0.09 1.06 0.09
## 18                                 Spain  6701  0.23 0.08 1.21 0.08
## 19                               Estonia  5549  0.05 0.05 0.85 0.06
## 20                               Finland  5770  0.09 0.07 0.83 0.04
## 21                                France  5475 -0.17 0.06 0.81 0.04
## 22                        United Kingdom 10588  0.04 0.07 0.95 0.06
## 23                               Georgia  5128  0.35 0.06 1.00 0.04
## 24                                Greece  5490  0.39 0.09 1.18 0.07
## 25                             Hong Kong  4996 -0.24 0.07 0.75 0.05
## 26                               Croatia  5806  0.87 0.09 1.06 0.08
## 27                               Hungary  5227  0.51 0.07 1.09 0.06
## 28                             Indonesia  6513  0.87 0.08 1.36 0.07
## 29                               Ireland  5365  0.25 0.09 1.16 0.08
## 30                               Iceland  3308 -0.40 0.00 0.73 0.00
## 31                                Israel  6491  0.44 0.10 1.10 0.10
## 32                                 Italy  8115  0.56 0.08 0.91 0.06
## 33                                Jordan  7232  0.70 0.09 1.31 0.07
## 34                                 Japan  6647  0.72 0.07 1.00 0.07
## 35                                 Korea  5581  0.42 0.08 0.93 0.07
## 36                                Kosovo  4824  0.54 0.03 1.06 0.03
## 37                               Lebanon  4459  0.02 0.08 1.14 0.08
## 38                             Lithuania  6514  0.29 0.05 1.02 0.05
## 39                            Luxembourg  5287 -0.16 0.00 0.81 0.00
## 40                                Latvia  4767 -0.19 0.04 0.77 0.02
## 41                                 Macao  4476  0.20 0.00 1.30 0.00
## 42                               Moldova  5300  0.17 0.06 0.85 0.04
## 43                                Mexico  7513  0.46 0.07 1.19 0.06
## 44                             Macedonia  5044 -0.09 0.00 0.90 0.00
## 45                                 Malta  3607 -0.24 0.00 0.86 0.00
## 46                            Montenegro  5665  0.35 0.01 1.00 0.00
## 47                           Netherlands  3467 -0.20 0.08 0.70 0.06
## 48                                Norway  4577  0.00 0.06 0.72 0.03
## 49                           New Zealand  3485 -0.09 0.06 0.72 0.04
## 50                                  Peru  6916  0.51 0.08 1.36 0.07
## 51                                Poland  4393 -0.35 0.07 0.92 0.09
## 52                              Portugal  7288  0.11 0.07 1.01 0.07
## 53 Argentina (Ciudad Autónoma de Buenos)  1636 -0.12 0.15 1.24 0.16
## 54                                 Qatar 12004 -0.65 0.00 0.83 0.00
## 55                       B-S-J-G (China)  9724  0.26 0.09 1.17 0.08
## 56                       Spain (Regions) 30952  0.19 0.05 1.15 0.05
## 57                  Massachusettes (USA)     0   NaN  NaN 0.00 0.00
## 58                     Puerto Rico (USA)     0   NaN  NaN 0.00 0.00
## 59                  North Carolina (USA)     0   NaN  NaN 0.00 0.00
## 60                               Romania  4876 -0.03 0.07 0.86 0.08
## 61                    Russian Federation  6025  0.31 0.10 1.17 0.08
## 62                             Singapore  6082 -0.73 0.01 0.60 0.00
## 63                       Slovak Republic  6343  0.05 0.06 0.94 0.06
## 64                              Slovenia  5906 -0.30 0.01 0.84 0.01
## 65                                Sweden  5458 -0.28 0.06 0.81 0.08
## 66                        Chinese Taipei  7595 -0.11 0.05 0.71 0.03
## 67                              Thailand  7896  0.34 0.08 1.02 0.07
## 68                   Trinidad and Tobago  4154  0.85 0.01 1.01 0.01
## 69                               Tunisia  4566  1.59 0.11 1.06 0.06
## 70                                Turkey  5895  0.14 0.10 1.26 0.10
## 71                               Uruguay  6062  0.25 0.07 1.14 0.05
## 72                         United States  5599 -0.33 0.06 0.79 0.05
## 73                               Vietnam  5793  0.39 0.08 1.05 0.08

Index of shortage of educational material1, science performance and school characteristics (PISA 2015 report, Table II.6.2)

pisa2015.mean(variable="EDUSHORT", by=c("CNT", "SCHLTYPE"), data=pisa15)
##                                       CNT                     SCHLTYPE
## 1                                 Albania          Private Independent
## 2                                 Albania                       Public
## 3                                 Albania                         <NA>
## 4                    United Arab Emirates          Private Independent
## 5                    United Arab Emirates Private Government-dependent
## 6                    United Arab Emirates                       Public
## 7                    United Arab Emirates                         <NA>
## 8                               Australia          Private Independent
## 9                               Australia Private Government-dependent
## 10                              Australia                       Public
## 11                              Australia                         <NA>
## 12                                Austria          Private Independent
## 13                                Austria Private Government-dependent
## 14                                Austria                       Public
## 15                                Austria                         <NA>
## 16                                Belgium Private Government-dependent
## 17                                Belgium                       Public
## 18                                Belgium                         <NA>
## 19                               Bulgaria          Private Independent
## 20                               Bulgaria                       Public
## 21                               Bulgaria                         <NA>
## 22                                 Brazil          Private Independent
## 23                                 Brazil Private Government-dependent
## 24                                 Brazil                       Public
## 25                                 Brazil                         <NA>
## 26                                 Canada          Private Independent
## 27                                 Canada Private Government-dependent
## 28                                 Canada                       Public
## 29                                 Canada                         <NA>
## 30                            Switzerland          Private Independent
## 31                            Switzerland Private Government-dependent
## 32                            Switzerland                       Public
## 33                            Switzerland                         <NA>
## 34                                  Chile          Private Independent
## 35                                  Chile Private Government-dependent
## 36                                  Chile                       Public
## 37                                  Chile                         <NA>
## 38                               Colombia          Private Independent
## 39                               Colombia Private Government-dependent
## 40                               Colombia                       Public
## 41                               Colombia                         <NA>
## 42                             Costa Rica          Private Independent
## 43                             Costa Rica Private Government-dependent
## 44                             Costa Rica                       Public
## 45                             Costa Rica                         <NA>
## 46                         Czech Republic          Private Independent
## 47                         Czech Republic Private Government-dependent
## 48                         Czech Republic                       Public
## 49                         Czech Republic                         <NA>
## 50                                Germany          Private Independent
## 51                                Germany Private Government-dependent
## 52                                Germany                       Public
## 53                                Germany                         <NA>
## 54                                Denmark          Private Independent
## 55                                Denmark Private Government-dependent
## 56                                Denmark                       Public
## 57                                Denmark                         <NA>
## 58                     Dominican Republic          Private Independent
## 59                     Dominican Republic Private Government-dependent
## 60                     Dominican Republic                       Public
## 61                     Dominican Republic                         <NA>
## 62                                Algeria          Private Independent
## 63                                Algeria Private Government-dependent
## 64                                Algeria                       Public
## 65                                Algeria                         <NA>
## 66                                  Spain          Private Independent
## 67                                  Spain Private Government-dependent
## 68                                  Spain                       Public
## 69                                  Spain                         <NA>
## 70                                Estonia          Private Independent
## 71                                Estonia Private Government-dependent
## 72                                Estonia                       Public
## 73                                Estonia                         <NA>
## 74                                Finland Private Government-dependent
## 75                                Finland                       Public
## 76                                Finland                         <NA>
## 77                                 France          Private Independent
## 78                                 France Private Government-dependent
## 79                                 France                       Public
## 80                                 France                         <NA>
## 81                         United Kingdom          Private Independent
## 82                         United Kingdom Private Government-dependent
## 83                         United Kingdom                       Public
## 84                         United Kingdom                         <NA>
## 85                                Georgia          Private Independent
## 86                                Georgia Private Government-dependent
## 87                                Georgia                       Public
## 88                                Georgia                         <NA>
## 89                                 Greece          Private Independent
## 90                                 Greece                       Public
## 91                                 Greece                         <NA>
## 92                              Hong Kong Private Government-dependent
## 93                              Hong Kong                       Public
## 94                              Hong Kong                         <NA>
## 95                                Croatia          Private Independent
## 96                                Croatia Private Government-dependent
## 97                                Croatia                       Public
## 98                                Hungary          Private Independent
## 99                                Hungary Private Government-dependent
## 100                               Hungary                       Public
## 101                               Hungary                         <NA>
## 102                             Indonesia          Private Independent
## 103                             Indonesia Private Government-dependent
## 104                             Indonesia                       Public
## 105                             Indonesia                         <NA>
## 106                               Ireland          Private Independent
## 107                               Ireland Private Government-dependent
## 108                               Ireland                       Public
## 109                               Ireland                         <NA>
## 110                               Iceland Private Government-dependent
## 111                               Iceland                       Public
## 112                               Iceland                         <NA>
## 113                                Israel                         <NA>
## 114                                 Italy          Private Independent
## 115                                 Italy Private Government-dependent
## 116                                 Italy                       Public
## 117                                 Italy                         <NA>
## 118                                Jordan          Private Independent
## 119                                Jordan Private Government-dependent
## 120                                Jordan                       Public
## 121                                Jordan                         <NA>
## 122                                 Japan          Private Independent
## 123                                 Japan Private Government-dependent
## 124                                 Japan                       Public
## 125                                 Korea          Private Independent
## 126                                 Korea Private Government-dependent
## 127                                 Korea                       Public
## 128                                 Korea                         <NA>
## 129                                Kosovo          Private Independent
## 130                                Kosovo Private Government-dependent
## 131                                Kosovo                       Public
## 132                                Kosovo                         <NA>
## 133                               Lebanon          Private Independent
## 134                               Lebanon Private Government-dependent
## 135                               Lebanon                       Public
## 136                               Lebanon                         <NA>
## 137                             Lithuania          Private Independent
## 138                             Lithuania Private Government-dependent
## 139                             Lithuania                       Public
## 140                            Luxembourg          Private Independent
## 141                            Luxembourg Private Government-dependent
## 142                            Luxembourg                       Public
## 143                            Luxembourg                         <NA>
## 144                                Latvia          Private Independent
## 145                                Latvia Private Government-dependent
## 146                                Latvia                       Public
## 147                                Latvia                         <NA>
## 148                                 Macao          Private Independent
## 149                                 Macao Private Government-dependent
## 150                                 Macao                       Public
## 151                               Moldova          Private Independent
## 152                               Moldova Private Government-dependent
## 153                               Moldova                       Public
## 154                               Moldova                         <NA>
## 155                                Mexico          Private Independent
## 156                                Mexico                       Public
## 157                                Mexico                         <NA>
## 158                             Macedonia          Private Independent
## 159                             Macedonia Private Government-dependent
## 160                             Macedonia                       Public
## 161                             Macedonia                         <NA>
## 162                                 Malta          Private Independent
## 163                                 Malta Private Government-dependent
## 164                                 Malta                       Public
## 165                                 Malta                         <NA>
## 166                            Montenegro          Private Independent
## 167                            Montenegro                       Public
## 168                           Netherlands          Private Independent
## 169                           Netherlands Private Government-dependent
## 170                           Netherlands                       Public
## 171                           Netherlands                         <NA>
## 172                                Norway Private Government-dependent
## 173                                Norway                       Public
## 174                                Norway                         <NA>
## 175                           New Zealand          Private Independent
## 176                           New Zealand                       Public
## 177                           New Zealand                         <NA>
## 178                                  Peru          Private Independent
## 179                                  Peru Private Government-dependent
## 180                                  Peru                       Public
## 181                                  Peru                         <NA>
## 182                                Poland          Private Independent
## 183                                Poland Private Government-dependent
## 184                                Poland                       Public
## 185                                Poland                         <NA>
## 186                              Portugal          Private Independent
## 187                              Portugal Private Government-dependent
## 188                              Portugal                       Public
## 189                              Portugal                         <NA>
## 190 Argentina (Ciudad Autónoma de Buenos)          Private Independent
## 191 Argentina (Ciudad Autónoma de Buenos) Private Government-dependent
## 192 Argentina (Ciudad Autónoma de Buenos)                       Public
## 193 Argentina (Ciudad Autónoma de Buenos)                         <NA>
## 194                                 Qatar          Private Independent
## 195                                 Qatar Private Government-dependent
## 196                                 Qatar                       Public
## 197                                 Qatar                         <NA>
## 198                       B-S-J-G (China)          Private Independent
## 199                       B-S-J-G (China) Private Government-dependent
## 200                       B-S-J-G (China)                       Public
## 201                       B-S-J-G (China)                         <NA>
## 202                       Spain (Regions)          Private Independent
## 203                       Spain (Regions) Private Government-dependent
## 204                       Spain (Regions)                       Public
## 205                       Spain (Regions)                         <NA>
## 206                  Massachusettes (USA)                         <NA>
## 207                     Puerto Rico (USA)                         <NA>
## 208                  North Carolina (USA)                         <NA>
## 209                               Romania          Private Independent
## 210                               Romania                       Public
## 211                    Russian Federation          Private Independent
## 212                    Russian Federation Private Government-dependent
## 213                    Russian Federation                       Public
## 214                    Russian Federation                         <NA>
## 215                             Singapore          Private Independent
## 216                             Singapore Private Government-dependent
## 217                             Singapore                       Public
## 218                             Singapore                         <NA>
## 219                       Slovak Republic Private Government-dependent
## 220                       Slovak Republic                       Public
## 221                       Slovak Republic                         <NA>
## 222                              Slovenia Private Government-dependent
## 223                              Slovenia                       Public
## 224                              Slovenia                         <NA>
## 225                                Sweden Private Government-dependent
## 226                                Sweden                       Public
## 227                        Chinese Taipei          Private Independent
## 228                        Chinese Taipei Private Government-dependent
## 229                        Chinese Taipei                       Public
## 230                        Chinese Taipei                         <NA>
## 231                              Thailand          Private Independent
## 232                              Thailand Private Government-dependent
## 233                              Thailand                       Public
## 234                              Thailand                         <NA>
## 235                   Trinidad and Tobago          Private Independent
## 236                   Trinidad and Tobago Private Government-dependent
## 237                   Trinidad and Tobago                       Public
## 238                   Trinidad and Tobago                         <NA>
## 239                               Tunisia          Private Independent
## 240                               Tunisia                       Public
## 241                               Tunisia                         <NA>
## 242                                Turkey          Private Independent
## 243                                Turkey Private Government-dependent
## 244                                Turkey                       Public
## 245                                Turkey                         <NA>
## 246                               Uruguay          Private Independent
## 247                               Uruguay                       Public
## 248                         United States          Private Independent
## 249                         United States                       Public
## 250                         United States                         <NA>
## 251                               Vietnam          Private Independent
## 252                               Vietnam                       Public
## 253                               Vietnam                         <NA>
##      Freq  Mean s.e.   SD  s.e
## 1     422 -1.17 0.05 0.20 0.08
## 2    4681  0.88 0.09 0.96 0.08
## 3      83 -1.25 0.00 0.00 0.00
## 4    5706 -0.43 0.09 1.15 0.11
## 5     149  0.79 0.15 0.78 0.28
## 6    5118  0.48 0.14 1.45 0.09
## 7    1148 -0.61 0.13 0.45 0.03
## 8    1574 -0.83 0.06 0.61 0.07
## 9    3446 -0.64 0.05 0.69 0.05
## 10   7286 -0.14 0.04 0.82 0.04
## 11    254 -0.43 0.18 0.27 0.04
## 12    236 -0.53 0.17 0.62 0.12
## 13    141 -0.02 0.48 0.81 0.18
## 14   5883 -0.27 0.07 0.86 0.08
## 15    608 -0.23 0.23 0.98 0.31
## 16   1664  0.25 0.17 0.99 0.16
## 17   1439  0.33 0.14 0.83 0.07
## 18   5814  0.00 0.07 0.80 0.05
## 19     60 -1.13 0.07 0.09 0.02
## 20   5783 -0.25 0.07 0.81 0.06
## 21      5 -0.13 0.00 0.00 0.00
## 22   1708 -1.13 0.05 0.27 0.06
## 23     75  0.65 0.32 0.70 0.30
## 24  15054  0.12 0.06 1.07 0.04
## 25    877 -0.67 0.17 0.35 0.07
## 26    589 -0.97 0.10 0.49 0.10
## 27    382 -0.57 0.27 0.74 0.20
## 28  15771 -0.43 0.04 0.74 0.03
## 29    102 -1.18 0.09 0.03 0.01
## 30    145 -0.09 0.13 0.59 0.07
## 31    111 -0.40 0.42 0.85 0.08
## 32   5056 -0.39 0.06 0.76 0.04
## 33    181 -0.56 0.33 0.48 0.11
## 34   1655 -0.86 0.10 0.50 0.08
## 35   2651 -0.53 0.09 0.69 0.07
## 36   1924  0.13 0.09 0.80 0.06
## 37    620 -0.55 0.28 0.62 0.16
## 38   1885 -0.64 0.07 0.67 0.03
## 39    625 -0.28 0.25 0.72 0.11
## 40   7384  1.03 0.11 1.27 0.07
## 41    319 -0.27 0.36 0.35 0.09
## 42    653  0.92 0.53 1.98 0.17
## 43    148  0.00 0.52 0.89 0.20
## 44   5839  1.09 0.10 1.44 0.07
## 45    112 -0.41 0.36 0.75 0.22
## 46     59 -1.07 0.14 0.20 0.04
## 47    475 -0.02 0.15 0.82 0.14
## 48   6124 -0.12 0.05 0.78 0.04
## 49    120 -0.68 0.17 0.26 0.09
## 50     28 -0.13 0.00 0.00 0.00
## 51    325 -0.50 0.16 0.62 0.12
## 52   4606  0.09 0.07 0.91 0.06
## 53     23  0.74 0.00 0.00 0.00
## 54    112 -0.16 0.51 1.10 0.27
## 55    775 -0.37 0.13 0.81 0.05
## 56   4549 -0.17 0.09 1.02 0.12
## 57    116 -0.22 0.28 0.15 0.05
## 58    786 -0.43 0.21 1.03 0.27
## 59    171  0.03 0.37 0.71 0.11
## 60   3401  0.26 0.10 1.12 0.09
## 61    120 -0.91 0.21 0.32 0.12
## 62     16 -1.25 0.00 0.00 0.00
## 63     42  1.33 0.00 0.00 0.00
## 64   5264  0.18 0.09 1.02 0.09
## 65     39  3.61 0.00 0.00 0.00
## 66    372 -0.74 0.21 0.73 0.15
## 67   1859 -0.35 0.13 0.79 0.07
## 68   4344  0.55 0.11 1.23 0.10
## 69    126 -1.02 0.15 0.29 0.09
## 70     45 -0.09 0.76 1.46 0.26
## 71    147 -0.24 0.28 0.93 0.10
## 72   5316  0.06 0.05 0.84 0.06
## 73     41  0.07 0.00 0.00 0.00
## 74    255 -0.70 0.25 0.77 0.19
## 75   5476  0.13 0.07 0.83 0.04
## 76     39  0.33 0.00 0.00 0.00
## 77    368  0.24 0.19 0.72 0.14
## 78    755 -0.04 0.15 0.73 0.09
## 79   4235 -0.22 0.08 0.86 0.04
## 80    117 -0.31 0.40 0.36 0.11
## 81    456 -0.67 0.20 0.66 0.07
## 82    187 -0.76 0.17 0.88 0.10
## 83   9824  0.09 0.08 1.09 0.06
## 84    121 -0.22 0.20 0.10 0.04
## 85    187 -1.13 0.08 0.34 0.08
## 86     69  0.21 0.46 0.94 0.31
## 87   4615  0.45 0.06 0.96 0.05
## 88    257 -0.17 0.30 0.94 0.14
## 89    296 -0.91 0.15 0.37 0.08
## 90   5129  0.46 0.09 1.17 0.07
## 91     65 -0.50 0.52 0.67 0.17
## 92   4547 -0.26 0.07 0.76 0.05
## 93    367 -0.03 0.30 0.82 0.20
## 94     82 -0.06 0.11 0.09 0.03
## 95      0   NaN  NaN 0.00 0.00
## 96    131  0.12 0.41 0.83 0.20
## 97   5675  0.89 0.09 1.06 0.08
## 98    117 -0.74 0.25 0.48 0.11
## 99    858  0.01 0.13 0.72 0.08
## 100  4219  0.64 0.08 1.16 0.07
## 101    33  1.19 0.00 0.00 0.00
## 102   901  0.32 0.23 1.25 0.20
## 103  1393  1.39 0.22 1.41 0.11
## 104  4032  0.80 0.10 1.33 0.09
## 105   187  0.72 0.19 0.78 0.20
## 106   141 -1.05 0.16 0.31 0.09
## 107  2832  0.34 0.13 1.20 0.11
## 108  2147  0.24 0.14 1.13 0.11
## 109   245  0.07 0.38 0.80 0.20
## 110    16  0.48 0.03 0.26 0.00
## 111  3242 -0.41 0.00 0.73 0.00
## 112    50  0.21 0.00 0.13 0.00
## 113  6491  0.44 0.10 1.10 0.10
## 114   179 -0.82 0.19 0.47 0.10
## 115   532  0.19 0.14 0.53 0.12
## 116  7357  0.60 0.08 1.05 0.07
## 117    47 -1.25 0.00 0.00 0.00
## 118  1531  0.15 0.18 1.43 0.14
## 119    31 -1.25 0.00 0.00 0.00
## 120  5444  0.83 0.10 1.23 0.08
## 121   226  0.99 0.59 1.58 0.41
## 122  1809  0.48 0.11 0.88 0.13
## 123   233  0.42 0.28 0.62 0.09
## 124  4605  0.84 0.09 1.04 0.08
## 125   590 -0.02 0.18 0.72 0.16
## 126  1219  0.41 0.13 0.79 0.08
## 127  3703  0.49 0.11 0.99 0.09
## 128    69  0.66 0.46 0.65 0.12
## 129   168 -0.64 0.17 0.55 0.12
## 130    34 -1.25 0.00 0.00 0.00
## 131  4622  0.57 0.03 1.05 0.03
## 132     0   NaN  NaN 0.00 0.00
## 133  1868 -0.45 0.08 0.79 0.05
## 134    35  0.29 0.39 0.73 0.15
## 135  1910  0.60 0.14 1.17 0.10
## 136   646 -0.73 0.10 0.67 0.08
## 137    28  1.51 0.00 0.00 0.00
## 138    85  0.46 0.36 0.81 0.13
## 139  6401  0.28 0.05 1.02 0.05
## 140   120 -0.61 0.00 0.13 0.00
## 141   463 -0.46 0.01 0.71 0.01
## 142  4473 -0.11 0.00 0.84 0.00
## 143   231 -0.33 0.00 0.00 0.00
## 144    38 -0.41 0.39 0.56 0.15
## 145    36 -0.39 0.35 0.61 0.12
## 146  4690 -0.19 0.04 0.78 0.02
## 147     3  0.93 0.00 0.00 0.00
## 148   621 -0.45 0.00 0.66 0.00
## 149  3734  0.29 0.00 1.36 0.00
## 150   121  0.75 0.01 0.68 0.00
## 151    73 -0.53 0.79 1.08 0.52
## 152    15 -0.65 0.00 0.00 0.00
## 153  5185  0.19 0.06 0.84 0.04
## 154    27 -0.85 0.00 0.00 0.00
## 155   719 -0.62 0.16 0.84 0.13
## 156  6580  0.62 0.07 1.16 0.06
## 157   214 -0.70 0.26 0.67 0.15
## 158   116 -0.92 0.00 0.29 0.00
## 159    32 -1.25 0.00 0.00 0.00
## 160  4772 -0.07 0.00 0.93 0.00
## 161   124 -0.43 0.02 0.36 0.00
## 162   516 -0.56 0.00 0.71 0.00
## 163   734  0.02 0.00 0.58 0.00
## 164  1931 -0.25 0.00 1.01 0.00
## 165   426 -0.29 0.00 0.45 0.00
## 166    27 -0.74 0.00 0.00 0.00
## 167  5638  0.36 0.01 1.00 0.00
## 168     1  0.93 0.00 0.00 0.00
## 169  1831 -0.18 0.13 0.95 0.11
## 170  1278 -0.25 0.13 0.78 0.08
## 171   357 -0.12 0.20 0.27 0.05
## 172    63 -0.07 0.15 0.32 0.11
## 173  4457  0.00 0.06 0.78 0.04
## 174    57  0.41 0.74 0.29 0.11
## 175   234 -0.59 0.23 0.78 0.12
## 176  3244 -0.05 0.06 0.80 0.05
## 177     7 -0.99 0.00 0.00 0.00
## 178  1598 -0.64 0.11 0.76 0.12
## 179   145 -0.33 0.26 0.55 0.09
## 180  4757  1.03 0.10 1.27 0.08
## 181   416 -0.56 0.21 0.74 0.15
## 182    46 -0.07 0.43 0.62 0.14
## 183    88 -0.48 0.34 0.77 0.27
## 184  4259 -0.35 0.07 0.93 0.10
## 185     0   NaN  NaN 0.00 0.00
## 186   230 -1.05 0.16 0.40 0.11
## 187    59 -0.32 0.35 0.72 0.15
## 188  6897  0.17 0.07 1.01 0.07
## 189   102 -0.29 0.44 0.57 0.17
## 190   303 -1.16 0.06 0.31 0.16
## 191   449 -0.26 0.19 0.79 0.12
## 192   818  0.45 0.28 1.38 0.20
## 193    66 -0.82 0.23 0.32 0.06
## 194  3953 -0.77 0.00 0.63 0.00
## 195   205 -0.86 0.00 0.79 0.00
## 196  7049 -0.63 0.00 0.90 0.00
## 197   797 -0.20 0.01 0.86 0.01
## 198   874  0.17 0.26 1.26 0.29
## 199    80  3.49 0.16 0.65 0.37
## 200  8705  0.22 0.09 1.10 0.08
## 201    65  2.62 1.26 1.13 0.39
## 202  1626 -0.53 0.16 0.83 0.11
## 203  8610 -0.29 0.07 0.83 0.03
## 204 20076  0.45 0.08 1.21 0.07
## 205   640 -0.43 0.25 0.50 0.08
## 206     0   NaN  NaN 0.00 0.00
## 207     0   NaN  NaN 0.00 0.00
## 208     0   NaN  NaN 0.00 0.00
## 209    53 -1.25 0.00 0.00 0.00
## 210  4823 -0.02 0.07 0.86 0.08
## 211    11  0.07 0.00 0.00 0.00
## 212    14  0.74 0.00 0.00 0.00
## 213  6000  0.31 0.10 1.18 0.08
## 214     0   NaN  NaN 0.00 0.00
## 215   218 -0.63 0.15 0.45 0.07
## 216   108 -0.13 0.00 0.54 0.00
## 217  5684 -0.75 0.00 0.61 0.00
## 218    72 -0.60 0.27 0.35 0.06
## 219   661  0.22 0.13 0.72 0.08
## 220  5678  0.03 0.07 0.96 0.07
## 221     4  0.07 0.00 0.00 0.00
## 222   118 -0.88 0.00 0.34 0.00
## 223  5764 -0.29 0.01 0.87 0.01
## 224    24 -0.33 0.00 0.00 0.00
## 225  1012 -0.65 0.10 0.62 0.08
## 226  4446 -0.20 0.07 0.83 0.09
## 227  1768 -0.44 0.10 0.70 0.05
## 228   431 -0.29 0.18 0.62 0.10
## 229  5137  0.04 0.06 0.66 0.04
## 230   259 -0.19 0.37 0.79 0.14
## 231   193 -0.98 0.18 0.39 0.13
## 232   506  0.00 0.18 1.08 0.08
## 233  7113  0.45 0.09 0.99 0.08
## 234    84 -0.64 0.47 0.66 0.17
## 235    84 -0.33 0.02 0.87 0.01
## 236   157  0.76 0.01 0.62 0.01
## 237  3613  0.87 0.01 1.07 0.01
## 238   300  0.88 0.03 0.73 0.02
## 239    39 -0.51 0.45 0.79 0.11
## 240  4479  1.64 0.10 1.11 0.07
## 241    48  0.21 0.46 0.17 0.07
## 242   206 -0.98 0.16 0.38 0.11
## 243    36 -1.25 0.00 0.00 0.00
## 244  5615  0.20 0.11 1.26 0.11
## 245    38  0.24 0.00 0.00 0.00
## 246  1076 -0.69 0.15 0.74 0.12
## 247  4986  0.42 0.08 1.12 0.05
## 248   296 -0.14 0.22 0.79 0.14
## 249  5303 -0.35 0.06 0.79 0.05
## 250     0   NaN  NaN 0.00 0.00
## 251   436  0.10 0.25 0.90 0.14
## 252  5322  0.39 0.08 1.05 0.08
## 253    35  1.41 0.00 0.00 0.00

Index of shortage of educational material1, science performance and school characteristics (PISA 2015 report, Table II.6.2)

pisa2015.reg.pv(pvlabel="SCIE", x="EDUSHORT", by = "CNT", data=pisa15)
## $Albania
##             Estimate Std. Error t value
## (Intercept)   433.12       4.56   95.06
## EDUSHORT       -8.99       3.17   -2.84
## R-squared       0.02       0.01    1.41
## 
## $`United Arab Emirates`
##             Estimate Std. Error t value
## (Intercept)   437.29       3.03  144.09
## EDUSHORT      -15.46       2.15   -7.19
## R-squared       0.04       0.01    3.94
## 
## $Australia
##             Estimate Std. Error t value
## (Intercept)   504.38       2.27  222.25
## EDUSHORT      -17.75       2.85   -6.22
## R-squared       0.02       0.01    3.29
## 
## $Austria
##             Estimate Std. Error t value
## (Intercept)   495.74       3.08  160.80
## EDUSHORT       -1.84       5.13   -0.36
## R-squared       0.00       0.00    0.13
## 
## $Belgium
##             Estimate Std. Error t value
## (Intercept)   505.40       2.80  180.76
## EDUSHORT      -13.64       4.55   -3.00
## R-squared       0.01       0.01    1.57
## 
## $Bulgaria
##             Estimate Std. Error t value
## (Intercept)   449.08       4.98   90.10
## EDUSHORT       16.32       8.65    1.89
## R-squared       0.02       0.02    0.90
## 
## $Brazil
##             Estimate Std. Error t value
## (Intercept)   404.59       2.68  150.94
## EDUSHORT      -18.22       2.64   -6.90
## R-squared       0.05       0.01    3.74
## 
## $Canada
##             Estimate Std. Error t value
## (Intercept)   526.56       2.58  204.09
## EDUSHORT       -3.22       2.39   -1.35
## R-squared       0.00       0.00    0.69
## 
## $Switzerland
##             Estimate Std. Error t value
## (Intercept)   502.87       4.19  119.95
## EDUSHORT       -5.53       6.58   -0.84
## R-squared       0.00       0.00    0.42
## 
## $Chile
##             Estimate Std. Error t value
## (Intercept)   441.33       2.92  151.27
## EDUSHORT      -20.52       4.32   -4.74
## R-squared       0.04       0.02    2.30
## 
## $Colombia
##             Estimate Std. Error t value
## (Intercept)   426.79       3.11  137.43
## EDUSHORT      -13.32       2.11   -6.31
## R-squared       0.05       0.01    3.52
## 
## $`Costa Rica`
##             Estimate Std. Error t value
## (Intercept)   416.51       3.07  135.48
## EDUSHORT        3.09       1.61    1.92
## R-squared       0.00       0.00    0.98
## 
## $`Czech Republic`
##             Estimate Std. Error t value
## (Intercept)   491.93       2.50  197.07
## EDUSHORT       -8.84       4.75   -1.86
## R-squared       0.01       0.01    0.82
## 
## $Germany
##             Estimate Std. Error t value
## (Intercept)   508.34       3.39  149.77
## EDUSHORT       -3.78       5.03   -0.75
## R-squared       0.00       0.00    0.30
## 
## $Denmark
##             Estimate Std. Error t value
## (Intercept)   501.51       2.54  197.47
## EDUSHORT       -3.14       2.40   -1.31
## R-squared       0.00       0.00    0.69
## 
## $`Dominican Republic`
##             Estimate Std. Error t value
## (Intercept)   333.06       2.99  111.57
## EDUSHORT      -10.17       2.57   -3.95
## R-squared       0.02       0.01    2.09
## 
## $Algeria
##             Estimate Std. Error t value
## (Intercept)   375.32       2.84  131.96
## EDUSHORT        1.20       2.99    0.40
## R-squared       0.00       0.00    0.15
## 
## $Spain
##             Estimate Std. Error t value
## (Intercept)   494.43       2.03  243.53
## EDUSHORT       -6.91       1.84   -3.76
## R-squared       0.01       0.00    2.02
## 
## $Estonia
##             Estimate Std. Error t value
## (Intercept)   533.64       2.28  233.91
## EDUSHORT        5.04       2.92    1.73
## R-squared       0.00       0.00    0.87
## 
## $Finland
##             Estimate Std. Error t value
## (Intercept)   530.24       2.48  213.43
## EDUSHORT        0.20       3.08    0.07
## R-squared       0.00       0.00    0.05
## 
## $France
##             Estimate Std. Error t value
## (Intercept)   497.76       2.61  190.55
## EDUSHORT       -6.87       5.79   -1.19
## R-squared       0.00       0.01    0.68
## 
## $`United Kingdom`
##             Estimate Std. Error t value
## (Intercept)   510.81       3.39  150.61
## EDUSHORT        5.25       3.52    1.49
## R-squared       0.00       0.00    0.74
## 
## $Georgia
##             Estimate Std. Error t value
## (Intercept)   415.64       2.86  145.36
## EDUSHORT      -11.13       2.90   -3.84
## R-squared       0.02       0.01    1.99
## 
## $Greece
##             Estimate Std. Error t value
## (Intercept)   455.01       4.46  102.09
## EDUSHORT       -0.19       3.63   -0.05
## R-squared       0.00       0.00    0.01
## 
## $`Hong Kong`
##             Estimate Std. Error t value
## (Intercept)   526.26       3.32  158.27
## EDUSHORT       10.60       6.20    1.71
## R-squared       0.01       0.01    0.84
## 
## $Croatia
##             Estimate Std. Error t value
## (Intercept)   479.12       4.56  105.05
## EDUSHORT       -4.22       4.10   -1.03
## R-squared       0.00       0.01    0.49
## 
## $Hungary
##             Estimate Std. Error t value
## (Intercept)   479.01       3.56  134.52
## EDUSHORT       -2.73       3.93   -0.69
## R-squared       0.00       0.00    0.30
## 
## $Indonesia
##             Estimate Std. Error t value
## (Intercept)   412.70       3.43  120.33
## EDUSHORT      -11.05       2.19   -5.06
## R-squared       0.05       0.02    2.69
## 
## $Ireland
##             Estimate Std. Error t value
## (Intercept)   504.90       2.63  192.08
## EDUSHORT       -6.35       2.38   -2.67
## R-squared       0.01       0.01    1.39
## 
## $Iceland
##             Estimate Std. Error t value
## (Intercept)   473.00       2.02  233.78
## EDUSHORT       -1.59       2.42   -0.66
## R-squared       0.00       0.00    0.29
## 
## $Israel
##             Estimate Std. Error t value
## (Intercept)   470.63       3.48  135.38
## EDUSHORT       -9.98       6.57   -1.52
## R-squared       0.01       0.01    0.76
## 
## $Italy
##             Estimate Std. Error t value
## (Intercept)   487.08       4.26  114.41
## EDUSHORT       -3.54       3.71   -0.95
## R-squared       0.00       0.00    0.41
## 
## $Jordan
##             Estimate Std. Error t value
## (Intercept)   413.46       3.20  129.38
## EDUSHORT       -6.83       3.17   -2.16
## R-squared       0.01       0.01    1.08
## 
## $Japan
##             Estimate Std. Error t value
## (Intercept)   546.62       4.77  114.53
## EDUSHORT      -11.41       4.66   -2.45
## R-squared       0.01       0.01    1.24
## 
## $Korea
##             Estimate Std. Error t value
## (Intercept)   518.04       3.94  131.39
## EDUSHORT       -5.33       3.99   -1.33
## R-squared       0.00       0.00    0.62
## 
## $Kosovo
##             Estimate Std. Error t value
## (Intercept)   382.85       2.59  147.67
## EDUSHORT       -8.15       1.81   -4.50
## R-squared       0.01       0.01    2.34
## 
## $Lebanon
##             Estimate Std. Error t value
## (Intercept)   387.85       3.71  104.61
## EDUSHORT      -14.84       3.27   -4.53
## R-squared       0.04       0.02    2.13
## 
## $Lithuania
##             Estimate Std. Error t value
## (Intercept)   474.30       2.63  180.30
## EDUSHORT        3.95       2.61    1.51
## R-squared       0.00       0.00    0.87
## 
## $Luxembourg
##             Estimate Std. Error t value
## (Intercept)   481.24       1.37  352.43
## EDUSHORT      -10.07       1.38   -7.32
## R-squared       0.01       0.00    3.65
## 
## $Latvia
##             Estimate Std. Error t value
## (Intercept)   492.58       1.76  280.05
## EDUSHORT       11.65       2.14    5.43
## R-squared       0.01       0.00    2.73
## 
## $Macao
##             Estimate Std. Error t value
## (Intercept)   528.34       1.26  418.14
## EDUSHORT        1.04       0.86    1.21
## R-squared       0.00       0.00    0.63
## 
## $Moldova
##             Estimate Std. Error t value
## (Intercept)   428.82       2.25  190.67
## EDUSHORT       -3.92       3.91   -1.00
## R-squared       0.00       0.00    0.52
## 
## $Mexico
##             Estimate Std. Error t value
## (Intercept)   422.55       2.62  161.34
## EDUSHORT      -15.11       1.82   -8.29
## R-squared       0.06       0.01    4.33
## 
## $Macedonia
##             Estimate Std. Error t value
## (Intercept)   380.66       1.47  259.40
## EDUSHORT      -11.18       1.57   -7.12
## R-squared       0.02       0.00    3.40
## 
## $Malta
##             Estimate Std. Error t value
## (Intercept)   459.38       1.89  242.68
## EDUSHORT      -20.70       1.96  -10.56
## R-squared       0.02       0.00    5.22
## 
## $Montenegro
##             Estimate Std. Error t value
## (Intercept)   411.59       1.17  351.86
## EDUSHORT       -0.80       1.36   -0.58
## R-squared       0.00       0.00    0.39
## 
## $Netherlands
##             Estimate Std. Error t value
## (Intercept)   511.10       5.37   95.21
## EDUSHORT       -1.69       8.74   -0.19
## R-squared       0.00       0.00    0.06
## 
## $Norway
##             Estimate Std. Error t value
## (Intercept)   498.45       2.16  230.48
## EDUSHORT       -6.44       2.84   -2.27
## R-squared       0.00       0.00    1.15
## 
## $`New Zealand`
##             Estimate Std. Error t value
## (Intercept)   515.49       3.15  163.49
## EDUSHORT       -4.89       5.40   -0.90
## R-squared       0.00       0.00    0.43
## 
## $Peru
##             Estimate Std. Error t value
## (Intercept)   403.86       2.78  145.53
## EDUSHORT      -14.35       2.12   -6.77
## R-squared       0.07       0.02    3.67
## 
## $Poland
##             Estimate Std. Error t value
## (Intercept)   501.07       2.72  184.26
## EDUSHORT        1.89       3.18    0.59
## R-squared       0.00       0.00    0.25
## 
## $Portugal
##             Estimate Std. Error t value
## (Intercept)   502.14       2.46  204.49
## EDUSHORT      -12.10       3.90   -3.10
## R-squared       0.02       0.01    1.48
## 
## $`Argentina (Ciudad Autónoma de Buenos)`
##             Estimate Std. Error t value
## (Intercept)   473.09       6.60   71.66
## EDUSHORT      -19.51       6.41   -3.04
## R-squared       0.08       0.04    1.79
## 
## $Qatar
##             Estimate Std. Error t value
## (Intercept)   412.49       1.77  233.59
## EDUSHORT       -7.61       1.32   -5.77
## R-squared       0.00       0.00    2.97
## 
## $`B-S-J-G (China)`
##             Estimate Std. Error t value
## (Intercept)   523.65       4.61  113.48
## EDUSHORT      -21.36       5.26   -4.06
## R-squared       0.06       0.03    1.99
## 
## $`Spain (Regions)`
##             Estimate Std. Error t value
## (Intercept)   496.43       1.38  359.90
## EDUSHORT       -7.50       1.25   -6.01
## R-squared       0.01       0.00    3.24
## 
## $Romania
##             Estimate Std. Error t value
## (Intercept)   434.72       3.24  134.02
## EDUSHORT       -5.58       4.37   -1.28
## R-squared       0.00       0.01    0.65
## 
## $`Russian Federation`
##             Estimate Std. Error t value
## (Intercept)   488.72       2.96  165.05
## EDUSHORT       -6.69       2.99   -2.24
## R-squared       0.01       0.01    1.15
## 
## $Singapore
##             Estimate Std. Error t value
## (Intercept)   546.17       2.18  250.94
## EDUSHORT      -13.33       2.22   -6.00
## R-squared       0.01       0.00    3.00
## 
## $`Slovak Republic`
##             Estimate Std. Error t value
## (Intercept)   460.53       2.64  174.27
## EDUSHORT        3.93       4.50    0.87
## R-squared       0.00       0.00    0.38
## 
## $Slovenia
##             Estimate Std. Error t value
## (Intercept)   512.07       1.68  304.94
## EDUSHORT       -9.57       1.76   -5.44
## R-squared       0.01       0.00    2.74
## 
## $Sweden
##             Estimate Std. Error t value
## (Intercept)   492.36       3.56  138.40
## EDUSHORT       -3.78       4.42   -0.86
## R-squared       0.00       0.00    0.39
## 
## $`Chinese Taipei`
##             Estimate Std. Error t value
## (Intercept)   531.87       3.03  175.30
## EDUSHORT       -3.25       5.55   -0.59
## R-squared       0.00       0.00    0.25
## 
## $Thailand
##             Estimate Std. Error t value
## (Intercept)   424.61       3.20  132.61
## EDUSHORT       -9.62       3.10   -3.10
## R-squared       0.02       0.01    1.56
## 
## $`Trinidad and Tobago`
##             Estimate Std. Error t value
## (Intercept)   424.42       2.06  206.05
## EDUSHORT       -2.15       1.36   -1.58
## R-squared       0.00       0.00    0.82
## 
## $Tunisia
##             Estimate Std. Error t value
## (Intercept)   392.41       5.26   74.60
## EDUSHORT       -3.09       2.64   -1.17
## R-squared       0.00       0.01    0.55
## 
## $Turkey
##             Estimate Std. Error t value
## (Intercept)   427.70       3.94  108.46
## EDUSHORT      -16.04       3.20   -5.00
## R-squared       0.06       0.03    2.53
## 
## $Uruguay
##             Estimate Std. Error t value
## (Intercept)   438.60       2.32  188.87
## EDUSHORT      -12.97       2.83   -4.58
## R-squared       0.03       0.01    2.35
## 
## $`United States`
##             Estimate Std. Error t value
## (Intercept)   492.68       3.68  133.82
## EDUSHORT      -12.46       4.48   -2.78
## R-squared       0.01       0.01    1.40
## 
## $Vietnam
##             Estimate Std. Error t value
## (Intercept)   526.72       4.23  124.53
## EDUSHORT       -5.72       3.64   -1.57
## R-squared       0.01       0.01    0.81

Index of teacher-directed science instruction, by student and school characteristics (PISA 2015 report, Table II.2.17)

pisa2015.mean(variable="TDTEACH", by="CNT", data=pisa15)
##                                      CNT  Freq  Mean s.e.   SD  s.e
## 1                                Albania     0   NaN  NaN 0.00 0.00
## 2                   United Arab Emirates 12009  0.30 0.01 0.98 0.01
## 3                              Australia 11143  0.27 0.01 0.88 0.01
## 4                                Austria  5398 -0.01 0.02 0.93 0.01
## 5                                Belgium  7908 -0.22 0.01 0.83 0.01
## 6                               Bulgaria  4872 -0.09 0.02 1.01 0.01
## 7                                 Brazil 13799 -0.15 0.01 0.82 0.01
## 8                                 Canada 17633  0.37 0.01 1.00 0.01
## 9                            Switzerland  4695  0.13 0.02 0.90 0.01
## 10                                 Chile  6110 -0.04 0.02 0.85 0.01
## 11                              Colombia 10825 -0.02 0.02 0.87 0.01
## 12                            Costa Rica  5409 -0.21 0.02 0.87 0.01
## 13                        Czech Republic  6322 -0.36 0.01 0.89 0.01
## 14                               Germany  4232 -0.23 0.01 0.73 0.01
## 15                               Denmark  6199 -0.15 0.02 0.84 0.01
## 16                    Dominican Republic  3789  0.13 0.02 0.90 0.02
## 17                               Algeria  5278  0.18 0.03 1.12 0.02
## 18                                 Spain  5318  0.06 0.02 0.80 0.01
## 19                               Estonia  5335 -0.05 0.02 0.89 0.01
## 20                               Finland  5476  0.23 0.02 0.91 0.01
## 21                                France  5322 -0.05 0.02 0.94 0.01
## 22                        United Kingdom 12439  0.09 0.01 0.89 0.01
## 23                               Georgia  5031 -0.03 0.01 0.84 0.01
## 24                                Greece  5189  0.22 0.02 1.03 0.01
## 25                             Hong Kong  3770  0.11 0.02 0.75 0.02
## 26                               Croatia  5010  0.00 0.02 0.94 0.01
## 27                               Hungary  4477  0.00 0.02 0.90 0.01
## 28                             Indonesia  6296 -0.16 0.02 0.79 0.01
## 29                               Ireland  5141 -0.02 0.02 0.88 0.01
## 30                               Iceland  2997  0.21 0.02 0.97 0.01
## 31                                Israel  5227  0.08 0.02 0.92 0.01
## 32                                 Italy 10310 -0.15 0.01 0.79 0.01
## 33                                Jordan  6940  0.37 0.02 1.15 0.01
## 34                                 Japan  6382 -0.21 0.02 0.88 0.01
## 35                                 Korea  5124 -0.59 0.02 1.00 0.01
## 36                                Kosovo  4584 -0.28 0.02 1.21 0.01
## 37                               Lebanon  4373  0.25 0.03 0.96 0.02
## 38                             Lithuania  5918  0.01 0.02 1.05 0.01
## 39                            Luxembourg  4491 -0.05 0.01 0.98 0.01
## 40                                Latvia  4482 -0.03 0.01 0.84 0.01
## 41                                 Macao  3933 -0.03 0.01 0.79 0.01
## 42                               Moldova  5120  0.07 0.02 0.84 0.01
## 43                                Mexico  6741  0.08 0.02 0.89 0.01
## 44                             Macedonia  4825 -0.05 0.02 0.92 0.01
## 45                                 Malta  3510  0.12 0.02 0.90 0.01
## 46                            Montenegro  4547 -0.27 0.02 0.98 0.01
## 47                           Netherlands  4170 -0.27 0.02 0.69 0.01
## 48                                Norway  5105  0.00 0.02 0.93 0.01
## 49                           New Zealand  3858  0.29 0.02 0.90 0.01
## 50                                  Peru  5861 -0.02 0.02 0.85 0.01
## 51                                Poland  4345  0.24 0.02 0.97 0.01
## 52                              Portugal  5164  0.35 0.02 0.91 0.01
## 53 Argentina (Ciudad Autónoma de Buenos)  1579 -0.04 0.04 0.83 0.02
## 54                                 Qatar  9676  0.18 0.01 0.98 0.01
## 55                       B-S-J-G (China)  9138  0.01 0.03 0.99 0.02
## 56                       Spain (Regions) 26378  0.05 0.01 0.81 0.01
## 57                  Massachusettes (USA)  1520  0.39 0.03 0.99 0.03
## 58                     Puerto Rico (USA)  1361  0.12 0.06 1.17 0.02
## 59                  North Carolina (USA)  1470  0.30 0.03 0.92 0.02
## 60                               Romania  4853 -0.31 0.02 0.74 0.01
## 61                    Russian Federation  5372  0.31 0.02 0.95 0.01
## 62                             Singapore  5683  0.27 0.01 0.92 0.01
## 63                       Slovak Republic  5513 -0.38 0.02 0.95 0.01
## 64                              Slovenia     0   NaN  NaN 0.00 0.00
## 65                                Sweden  4955 -0.04 0.02 0.98 0.01
## 66                        Chinese Taipei  7070  0.17 0.02 0.97 0.01
## 67                              Thailand  7224  0.39 0.02 0.96 0.01
## 68                   Trinidad and Tobago  4280  0.07 0.02 0.94 0.01
## 69                               Tunisia  4418  0.31 0.02 0.94 0.01
## 70                                Turkey  5242 -0.04 0.02 0.93 0.02
## 71                               Uruguay  4534 -0.28 0.01 0.77 0.01
## 72                         United States  5100  0.32 0.02 1.01 0.01
## 73                               Vietnam  5805 -0.04 0.02 0.74 0.01

Index of teacher-directed science instruction, by student and school characteristics (PISA 2015 report, Table II.2.17)

pisa2015.reg.pv(pvlabel="SCIE", x="TDTEACH", by = "CNT", data=pisa15)
## $`United Arab Emirates`
##             Estimate Std. Error t value
## (Intercept)   439.07       2.38  184.86
## TDTEACH        14.01       1.13   12.40
## R-squared       0.02       0.00    6.20
## 
## $Australia
##             Estimate Std. Error t value
## (Intercept)   517.77       1.79  289.99
## TDTEACH        16.27       1.17   13.90
## R-squared       0.03       0.00    7.07
## 
## $Austria
##             Estimate Std. Error t value
## (Intercept)   513.42       2.67  192.56
## TDTEACH        10.96       1.50    7.32
## R-squared       0.02       0.00    3.58
## 
## $Belgium
##             Estimate Std. Error t value
## (Intercept)   523.47       2.15  243.56
## TDTEACH         6.13       1.57    3.91
## R-squared       0.00       0.00    1.95
## 
## $Bulgaria
##             Estimate Std. Error t value
## (Intercept)   463.05       3.98  116.36
## TDTEACH         6.49       1.48    4.39
## R-squared       0.01       0.00    2.19
## 
## $Brazil
##             Estimate Std. Error t value
## (Intercept)   420.94       2.69  156.63
## TDTEACH        12.61       1.16   10.86
## R-squared       0.02       0.00    5.63
## 
## $Canada
##             Estimate Std. Error t value
## (Intercept)   531.39       2.00  265.92
## TDTEACH        11.34       1.18    9.62
## R-squared       0.02       0.00    4.87
## 
## $Switzerland
##             Estimate Std. Error t value
## (Intercept)   513.33       2.97  172.65
## TDTEACH        11.22       1.86    6.03
## R-squared       0.01       0.00    3.11
## 
## $Chile
##             Estimate Std. Error t value
## (Intercept)   454.40       2.49  182.58
## TDTEACH        10.82       1.79    6.05
## R-squared       0.01       0.00    3.15
## 
## $Colombia
##             Estimate Std. Error t value
## (Intercept)   420.27       2.35  179.21
## TDTEACH        19.01       1.55   12.30
## R-squared       0.05       0.01    6.72
## 
## $`Costa Rica`
##             Estimate Std. Error t value
## (Intercept)   427.15       2.37  180.41
## TDTEACH         8.49       1.89    4.49
## R-squared       0.01       0.01    2.30
## 
## $`Czech Republic`
##             Estimate Std. Error t value
## (Intercept)   504.92       1.99  253.73
## TDTEACH         8.75       1.68    5.19
## R-squared       0.01       0.00    2.65
## 
## $Germany
##             Estimate Std. Error t value
## (Intercept)   532.33       3.07  173.52
## TDTEACH        15.28       1.64    9.33
## R-squared       0.02       0.00    4.77
## 
## $Denmark
##             Estimate Std. Error t value
## (Intercept)   510.75        2.2  232.08
## TDTEACH         8.25        1.6    5.17
## R-squared       0.01        0.0    2.64
## 
## $`Dominican Republic`
##             Estimate Std. Error t value
## (Intercept)   342.29       3.06  111.97
## TDTEACH         9.78       1.85    5.28
## R-squared       0.02       0.01    2.57
## 
## $Algeria
##             Estimate Std. Error t value
## (Intercept)   376.20       2.73  137.93
## TDTEACH         5.07       1.22    4.15
## R-squared       0.01       0.00    2.21
## 
## $Spain
##             Estimate Std. Error t value
## (Intercept)   499.13       2.20  227.36
## TDTEACH        14.26       1.91    7.47
## R-squared       0.02       0.01    3.72
## 
## $Estonia
##             Estimate Std. Error t value
## (Intercept)   538.06       2.15  250.09
## TDTEACH         4.55       1.72    2.64
## R-squared       0.00       0.00    1.30
## 
## $Finland
##             Estimate Std. Error t value
## (Intercept)   531.69       2.30  231.16
## TDTEACH        19.77       1.70   11.65
## R-squared       0.04       0.01    6.02
## 
## $France
##             Estimate Std. Error t value
## (Intercept)   511.05       1.94  263.98
## TDTEACH        11.17       1.64    6.82
## R-squared       0.01       0.00    3.46
## 
## $`United Kingdom`
##             Estimate Std. Error t value
## (Intercept)   515.79       2.59  198.95
## TDTEACH        11.75       1.73    6.80
## R-squared       0.01       0.00    3.42
## 
## $Georgia
##             Estimate Std. Error t value
## (Intercept)   415.88       2.31  180.03
## TDTEACH        13.86       2.16    6.41
## R-squared       0.02       0.01    3.27
## 
## $Greece
##             Estimate Std. Error t value
## (Intercept)   456.99       3.71  123.06
## TDTEACH        15.42       1.44   10.70
## R-squared       0.03       0.01    5.98
## 
## $`Hong Kong`
##             Estimate Std. Error t value
## (Intercept)   532.49       3.17  167.94
## TDTEACH        12.93       1.98    6.54
## R-squared       0.02       0.01    3.49
## 
## $Croatia
##             Estimate Std. Error t value
## (Intercept)   484.94       2.49  195.12
## TDTEACH        10.18       1.57    6.50
## R-squared       0.01       0.00    3.35
## 
## $Hungary
##             Estimate Std. Error t value
## (Intercept)   483.06       2.67  180.95
## TDTEACH         9.08       1.80    5.04
## R-squared       0.01       0.00    2.62
## 
## $Indonesia
##             Estimate Std. Error t value
## (Intercept)   403.89       2.67  151.19
## TDTEACH        -0.32       1.67   -0.19
## R-squared       0.00       0.00    0.13
## 
## $Ireland
##             Estimate Std. Error t value
## (Intercept)   510.03       2.41  211.56
## TDTEACH         8.26       1.53    5.41
## R-squared       0.01       0.00    2.56
## 
## $Iceland
##             Estimate Std. Error t value
## (Intercept)   477.59       1.91  249.56
## TDTEACH        10.71       1.88    5.71
## R-squared       0.02       0.01    2.87
## 
## $Israel
##             Estimate Std. Error t value
## (Intercept)   479.31       3.61  132.92
## TDTEACH        13.29       1.75    7.61
## R-squared       0.02       0.00    3.81
## 
## $Italy
##             Estimate Std. Error t value
## (Intercept)   488.79       2.61  187.35
## TDTEACH        17.78       2.14    8.33
## R-squared       0.03       0.01    4.39
## 
## $Jordan
##             Estimate Std. Error t value
## (Intercept)   406.78       2.68  151.90
## TDTEACH        15.79       1.33   11.87
## R-squared       0.05       0.01    6.74
## 
## $Japan
##             Estimate Std. Error t value
## (Intercept)   543.54       2.92  186.29
## TDTEACH        10.48       1.79    5.85
## R-squared       0.01       0.00    2.91
## 
## $Korea
##             Estimate Std. Error t value
## (Intercept)   522.98       3.56  147.09
## TDTEACH        -0.61       1.71   -0.36
## R-squared       0.00       0.00    0.19
## 
## $Kosovo
##             Estimate Std. Error t value
## (Intercept)   385.40       2.04  189.02
## TDTEACH        15.07       1.35   11.14
## R-squared       0.07       0.01    5.63
## 
## $Lebanon
##             Estimate Std. Error t value
## (Intercept)   383.74       3.58  107.13
## TDTEACH        17.45       3.00    5.82
## R-squared       0.04       0.01    3.08
## 
## $Lithuania
##             Estimate Std. Error t value
## (Intercept)   481.22       2.61  184.25
## TDTEACH         4.08       1.23    3.31
## R-squared       0.00       0.00    1.67
## 
## $Luxembourg
##             Estimate Std. Error t value
## (Intercept)   495.12       1.57  314.44
## TDTEACH        13.20       1.48    8.94
## R-squared       0.02       0.00    4.61
## 
## $Latvia
##             Estimate Std. Error t value
## (Intercept)   494.06       1.80  274.07
## TDTEACH         7.31       1.82    4.02
## R-squared       0.01       0.00    1.89
## 
## $Macao
##             Estimate Std. Error t value
## (Intercept)   532.21       1.33  400.11
## TDTEACH         9.29       1.72    5.39
## R-squared       0.01       0.00    2.70
## 
## $Moldova
##             Estimate Std. Error t value
## (Intercept)   429.67       2.03  211.81
## TDTEACH        22.84       1.77   12.89
## R-squared       0.05       0.01    6.93
## 
## $Mexico
##             Estimate Std. Error t value
## (Intercept)   417.61       2.10  198.76
## TDTEACH         8.80       1.37    6.44
## R-squared       0.01       0.00    3.31
## 
## $Macedonia
##             Estimate Std. Error t value
## (Intercept)   387.87       1.49  259.91
## TDTEACH        11.78       1.54    7.63
## R-squared       0.02       0.00    3.80
## 
## $Malta
##             Estimate Std. Error t value
## (Intercept)   468.20       1.85  252.46
## TDTEACH        19.35       2.37    8.15
## R-squared       0.02       0.01    4.16
## 
## $Montenegro
##             Estimate Std. Error t value
## (Intercept)   423.25       1.39  303.83
## TDTEACH        -0.23       1.18   -0.20
## R-squared       0.00       0.00    0.12
## 
## $Netherlands
##             Estimate Std. Error t value
## (Intercept)   525.15       2.74  191.33
## TDTEACH        20.36       2.61    7.79
## R-squared       0.03       0.01    3.98
## 
## $Norway
##             Estimate Std. Error t value
## (Intercept)   503.58       2.17  232.18
## TDTEACH         8.28       1.58    5.25
## R-squared       0.01       0.00    2.65
## 
## $`New Zealand`
##             Estimate Std. Error t value
## (Intercept)   525.11       2.38  220.39
## TDTEACH         9.08       1.76    5.16
## R-squared       0.01       0.00    2.59
## 
## $Peru
##             Estimate Std. Error t value
## (Intercept)   407.28       2.53  161.21
## TDTEACH         0.92       1.45    0.64
## R-squared       0.00       0.00    0.33
## 
## $Poland
##             Estimate Std. Error t value
## (Intercept)   500.97       2.50  200.47
## TDTEACH        13.24       1.58    8.37
## R-squared       0.02       0.01    4.25
## 
## $Portugal
##             Estimate Std. Error t value
## (Intercept)   501.95       2.92  172.02
## TDTEACH        10.33       1.62    6.38
## R-squared       0.01       0.00    3.16
## 
## $`Argentina (Ciudad Autónoma de Buenos)`
##             Estimate Std. Error t value
## (Intercept)   477.65       6.57   72.65
## TDTEACH        17.51       4.03    4.34
## R-squared       0.03       0.01    2.19
## 
## $Qatar
##             Estimate Std. Error t value
## (Intercept)   429.18       1.45  296.61
## TDTEACH        16.94       1.09   15.53
## R-squared       0.04       0.00    8.30
## 
## $`B-S-J-G (China)`
##             Estimate Std. Error t value
## (Intercept)   521.26       4.56  114.31
## TDTEACH        18.52       2.21    8.38
## R-squared       0.03       0.01    4.58
## 
## $`Spain (Regions)`
##             Estimate Std. Error t value
## (Intercept)   500.59       1.50  333.64
## TDTEACH        14.08       1.13   12.45
## R-squared       0.02       0.00    6.33
## 
## $`Massachusettes (USA)`
##             Estimate Std. Error t value
## (Intercept)   532.38       6.61   80.57
## TDTEACH         7.79       2.61    2.98
## R-squared       0.01       0.00    1.50
## 
## $`Puerto Rico (USA)`
##             Estimate Std. Error t value
## (Intercept)   402.10       5.70   70.50
## TDTEACH        17.62       3.53    5.00
## R-squared       0.06       0.02    2.58
## 
## $`North Carolina (USA)`
##             Estimate Std. Error t value
## (Intercept)   507.14       4.85  104.63
## TDTEACH        12.00       2.42    4.96
## R-squared       0.02       0.01    2.41
## 
## $Romania
##             Estimate Std. Error t value
## (Intercept)   440.84       3.30  133.60
## TDTEACH        18.25       2.48    7.35
## R-squared       0.03       0.01    3.86
## 
## $`Russian Federation`
##             Estimate Std. Error t value
## (Intercept)   489.56       2.95  166.02
## TDTEACH         8.83       1.66    5.33
## R-squared       0.01       0.00    2.71
## 
## $Singapore
##             Estimate Std. Error t value
## (Intercept)   558.18       1.32  421.28
## TDTEACH        16.34       1.69    9.68
## R-squared       0.02       0.00    4.92
## 
## $`Slovak Republic`
##             Estimate Std. Error t value
## (Intercept)   473.60       2.51  188.79
## TDTEACH         3.03       1.65    1.83
## R-squared       0.00       0.00    0.93
## 
## $Sweden
##             Estimate Std. Error t value
## (Intercept)   502.56       3.34  150.37
## TDTEACH         9.11       1.87    4.88
## R-squared       0.01       0.00    2.46
## 
## $`Chinese Taipei`
##             Estimate Std. Error t value
## (Intercept)   536.66       2.97  180.90
## TDTEACH        11.57       1.64    7.06
## R-squared       0.01       0.00    3.56
## 
## $Thailand
##             Estimate Std. Error t value
## (Intercept)   425.95       3.38  126.05
## TDTEACH         4.40       1.71    2.58
## R-squared       0.00       0.00    1.31
## 
## $`Trinidad and Tobago`
##             Estimate Std. Error t value
## (Intercept)   430.35       1.72  250.05
## TDTEACH        11.75       1.83    6.42
## R-squared       0.02       0.00    3.31
## 
## $Tunisia
##             Estimate Std. Error t value
## (Intercept)   390.28       2.38  163.70
## TDTEACH         5.38       1.17    4.59
## R-squared       0.01       0.00    2.39
## 
## $Turkey
##             Estimate Std. Error t value
## (Intercept)   431.17       4.12  104.71
## TDTEACH         7.00       1.70    4.11
## R-squared       0.01       0.00    2.14
## 
## $Uruguay
##             Estimate Std. Error t value
## (Intercept)   454.74       2.39  189.88
## TDTEACH        13.87       1.83    7.59
## R-squared       0.02       0.01    3.88
## 
## $`United States`
##             Estimate Std. Error t value
## (Intercept)   498.30       2.92  170.68
## TDTEACH        12.06       1.42    8.47
## R-squared       0.02       0.00    4.33
## 
## $Vietnam
##             Estimate Std. Error t value
## (Intercept)   525.39       3.90  134.67
## TDTEACH        12.65       2.55    4.95
## R-squared       0.01       0.01    2.53

Teaching practices and science performance

pisa2015.reg.pv(pvlabel="SCIE", x=c("TEACHSUP", "IBTEACH", "TDTEACH", "DISCLISCI"), by = "CNT", data=pisa15)
## $`United Arab Emirates`
##             Estimate Std. Error t value
## (Intercept)   447.34       2.50  179.07
## TEACHSUP        2.89       1.90    1.52
## IBTEACH       -18.31       1.76  -10.43
## TDTEACH        14.26       1.36   10.46
## DISCLISCI      10.59       1.25    8.48
## R-squared       0.07       0.01   10.23
## 
## $Australia
##             Estimate Std. Error t value
## (Intercept)   524.71       1.72  304.65
## TEACHSUP        1.99       1.74    1.15
## IBTEACH       -13.96       1.78   -7.87
## TDTEACH        15.28       1.23   12.42
## DISCLISCI      19.13       1.32   14.52
## R-squared       0.07       0.01   10.82
## 
## $Austria
##             Estimate Std. Error t value
## (Intercept)   507.23       2.90  175.16
## TEACHSUP      -12.34       2.18   -5.66
## IBTEACH         0.34       1.79    0.19
## TDTEACH        12.68       1.65    7.67
## DISCLISCI      12.96       1.90    6.83
## R-squared       0.05       0.01    5.35
## 
## $Belgium
##             Estimate Std. Error t value
## (Intercept)   525.38       2.12  248.39
## TEACHSUP      -11.39       1.83   -6.23
## IBTEACH        -1.53       1.63   -0.94
## TDTEACH        10.87       1.60    6.79
## DISCLISCI      12.11       1.51    8.03
## R-squared       0.03       0.01    5.66
## 
## $Bulgaria
##             Estimate Std. Error t value
## (Intercept)   472.51       3.69  128.10
## TEACHSUP       -1.98       1.97   -1.00
## IBTEACH       -21.73       2.02  -10.76
## TDTEACH         7.45       1.57    4.75
## DISCLISCI      15.65       1.90    8.22
## R-squared       0.10       0.01    8.03
## 
## $Brazil
##             Estimate Std. Error t value
## (Intercept)   428.04       2.75  155.48
## TEACHSUP        0.03       1.68    0.02
## IBTEACH       -13.06       1.48   -8.83
## TDTEACH        12.90       1.21   10.63
## DISCLISCI      16.11       1.48   10.88
## R-squared       0.07       0.01    9.84
## 
## $Canada
##             Estimate Std. Error t value
## (Intercept)   535.68       1.84  291.35
## TEACHSUP        0.90       1.74    0.52
## IBTEACH       -15.70       1.40  -11.22
## TDTEACH        12.85       1.21   10.66
## DISCLISCI      12.70       1.22   10.37
## R-squared       0.06       0.01   10.59
## 
## $Switzerland
##             Estimate Std. Error t value
## (Intercept)   514.99       3.03  169.89
## TEACHSUP       -3.56       2.39   -1.49
## IBTEACH       -14.19       2.31   -6.14
## TDTEACH        14.24       2.02    7.05
## DISCLISCI      15.35       2.23    6.88
## R-squared       0.06       0.01    6.09
## 
## $Chile
##             Estimate Std. Error t value
## (Intercept)   460.27       2.36  194.99
## TEACHSUP       -1.60       2.42   -0.66
## IBTEACH       -21.27       2.13   -9.98
## TDTEACH        16.75       1.77    9.46
## DISCLISCI      16.19       2.29    7.06
## R-squared       0.10       0.01    7.32
## 
## $Colombia
##             Estimate Std. Error t value
## (Intercept)   425.19       2.39  177.93
## TEACHSUP       -6.70       1.97   -3.40
## IBTEACH        -9.77       1.76   -5.55
## TDTEACH        22.12       1.62   13.69
## DISCLISCI       7.35       1.80    4.09
## R-squared       0.08       0.01    9.59
## 
## $`Costa Rica`
##             Estimate Std. Error t value
## (Intercept)   426.59       2.55  167.19
## TEACHSUP        0.31       1.89    0.16
## IBTEACH        -9.79       2.03   -4.82
## TDTEACH        11.19       1.97    5.67
## DISCLISCI       4.07       1.73    2.35
## R-squared       0.03       0.01    3.81
## 
## $`Czech Republic`
##             Estimate Std. Error t value
## (Intercept)   507.79       1.88  270.38
## TEACHSUP       -8.84       2.07   -4.26
## IBTEACH        -4.68       1.95   -2.40
## TDTEACH         9.85       1.77    5.58
## DISCLISCI      19.01       1.73   10.97
## R-squared       0.06       0.01    7.68
## 
## $Germany
##             Estimate Std. Error t value
## (Intercept)   530.19       3.24  163.42
## TEACHSUP       -9.32       2.21   -4.23
## IBTEACH        -2.89       2.17   -1.33
## TDTEACH        18.02       1.85    9.76
## DISCLISCI      18.98       2.11    9.00
## R-squared       0.06       0.01    7.62
## 
## $Denmark
##             Estimate Std. Error t value
## (Intercept)   512.28       2.24  229.10
## TEACHSUP        9.87       2.20    4.48
## IBTEACH        -5.11       2.49   -2.06
## TDTEACH         4.59       1.69    2.72
## DISCLISCI       9.01       1.71    5.27
## R-squared       0.03       0.01    4.14
## 
## $`Dominican Republic`
##             Estimate Std. Error t value
## (Intercept)   354.83       3.86   91.98
## TEACHSUP       -4.30       2.40   -1.79
## IBTEACH       -10.68       2.32   -4.61
## TDTEACH        10.79       1.88    5.73
## DISCLISCI       7.57       2.01    3.77
## R-squared       0.06       0.01    5.16
## 
## $Algeria
##             Estimate Std. Error t value
## (Intercept)   380.17       3.09  122.99
## TEACHSUP       -0.13       2.41   -0.06
## IBTEACH        -5.08       1.86   -2.72
## TDTEACH         5.51       1.32    4.19
## DISCLISCI       4.89       2.03    2.41
## R-squared       0.01       0.01    2.55
## 
## $Spain
##             Estimate Std. Error t value
## (Intercept)   499.10       2.28  218.86
## TEACHSUP      -10.17       2.02   -5.04
## IBTEACH        -9.11       1.85   -4.91
## TDTEACH        20.65       2.12    9.75
## DISCLISCI      10.12       1.77    5.71
## R-squared       0.05       0.01    5.92
## 
## $Estonia
##             Estimate Std. Error t value
## (Intercept)   537.84       2.00  268.65
## TEACHSUP        6.08       1.98    3.07
## IBTEACH       -23.23       2.27  -10.24
## TDTEACH         5.75       1.82    3.16
## DISCLISCI      10.02       1.97    5.08
## R-squared       0.06       0.01    6.68
## 
## $Finland
##             Estimate Std. Error t value
## (Intercept)   530.14       2.49  212.61
## TEACHSUP        6.00       1.90    3.16
## IBTEACH        -8.24       2.16   -3.82
## TDTEACH        17.79       1.88    9.46
## DISCLISCI       7.27       1.83    3.97
## R-squared       0.05       0.01    6.52
## 
## $France
##             Estimate Std. Error t value
## (Intercept)   515.40       2.24  230.45
## TEACHSUP       -9.80       1.90   -5.17
## IBTEACH         0.27       2.49    0.11
## TDTEACH        12.70       1.79    7.09
## DISCLISCI      16.76       2.02    8.30
## R-squared       0.05       0.01    5.55
## 
## $`United Kingdom`
##             Estimate Std. Error t value
## (Intercept)   518.57       2.55  203.22
## TEACHSUP       -1.18       2.15   -0.55
## IBTEACH       -12.66       2.14   -5.90
## TDTEACH        11.31       1.98    5.72
## DISCLISCI      19.84       1.81   10.99
## R-squared       0.06       0.01    7.06
## 
## $Georgia
##             Estimate Std. Error t value
## (Intercept)   421.94       2.74  154.18
## TEACHSUP        1.46       2.13    0.69
## IBTEACH       -21.82       2.16  -10.08
## TDTEACH        13.88       2.27    6.13
## DISCLISCI      15.67       2.24    7.01
## R-squared       0.07       0.01    6.80
## 
## $Greece
##             Estimate Std. Error t value
## (Intercept)   461.10       3.09  149.40
## TEACHSUP       -5.31       2.00   -2.65
## IBTEACH       -19.47       1.86  -10.47
## TDTEACH        16.43       1.54   10.64
## DISCLISCI      20.54       2.35    8.74
## R-squared       0.13       0.01    8.45
## 
## $`Hong Kong`
##             Estimate Std. Error t value
## (Intercept)   530.26       3.42  154.85
## TEACHSUP        5.83       2.04    2.86
## IBTEACH       -10.65       2.14   -4.98
## TDTEACH        12.42       2.17    5.71
## DISCLISCI      10.14       2.09    4.85
## R-squared       0.05       0.01    4.90
## 
## $Croatia
##             Estimate Std. Error t value
## (Intercept)   483.99       2.50  193.61
## TEACHSUP       -6.10       1.95   -3.13
## IBTEACH        -6.17       1.65   -3.74
## TDTEACH        10.68       1.56    6.87
## DISCLISCI      22.76       1.70   13.37
## R-squared       0.08       0.01    8.69
## 
## $Hungary
##             Estimate Std. Error t value
## (Intercept)   483.29       2.79  173.19
## TEACHSUP       -4.93       2.28   -2.16
## IBTEACH        -6.40       2.15   -2.98
## TDTEACH         9.93       2.10    4.72
## DISCLISCI      17.49       2.10    8.33
## R-squared       0.05       0.01    5.59
## 
## $Indonesia
##             Estimate Std. Error t value
## (Intercept)   404.37       2.71  149.43
## TEACHSUP        1.85       2.59    0.71
## IBTEACH        -6.44       2.39   -2.70
## TDTEACH         0.02       1.76    0.01
## DISCLISCI       7.09       1.62    4.37
## R-squared       0.01       0.01    2.56
## 
## $Ireland
##             Estimate Std. Error t value
## (Intercept)   510.02       2.40  212.67
## TEACHSUP       -1.22       1.84   -0.66
## IBTEACH       -12.32       3.26   -3.78
## TDTEACH        12.68       1.92    6.60
## DISCLISCI       6.89       1.96    3.52
## R-squared       0.02       0.01    3.47
## 
## $Iceland
##             Estimate Std. Error t value
## (Intercept)   475.52       2.01  236.61
## TEACHSUP        4.56       2.36    1.94
## IBTEACH        -8.34       2.08   -4.01
## TDTEACH        10.81       2.04    5.31
## DISCLISCI       5.65       2.14    2.64
## R-squared       0.03       0.01    3.76
## 
## $Israel
##             Estimate Std. Error t value
## (Intercept)   480.89       3.42  140.59
## TEACHSUP       -6.87       2.04   -3.37
## IBTEACH       -17.01       2.22   -7.67
## TDTEACH        18.65       1.65   11.33
## DISCLISCI      12.57       2.24    5.60
## R-squared       0.07       0.01    7.94
## 
## $Italy
##             Estimate Std. Error t value
## (Intercept)   487.61       2.58  189.31
## TEACHSUP      -10.64       2.04   -5.22
## IBTEACH       -16.31       2.12   -7.69
## TDTEACH        25.51       2.35   10.86
## DISCLISCI      14.00       1.86    7.54
## R-squared       0.09       0.01    8.74
## 
## $Jordan
##             Estimate Std. Error t value
## (Intercept)   415.54       2.84  146.46
## TEACHSUP        1.01       2.10    0.48
## IBTEACH       -11.34       1.96   -5.79
## TDTEACH        14.76       1.34   11.03
## DISCLISCI       6.54       1.76    3.72
## R-squared       0.07       0.01    7.46
## 
## $Japan
##             Estimate Std. Error t value
## (Intercept)   522.37       3.61  144.57
## TEACHSUP       -3.91       2.19   -1.78
## IBTEACH        -3.35       1.90   -1.77
## TDTEACH        11.02       1.83    6.01
## DISCLISCI      22.48       2.55    8.83
## R-squared       0.06       0.01    5.56
## 
## $Korea
##             Estimate Std. Error t value
## (Intercept)   514.40       3.74  137.59
## TEACHSUP        8.64       1.83    4.72
## IBTEACH       -13.07       1.93   -6.76
## TDTEACH         2.00       1.72    1.16
## DISCLISCI       4.73       2.32    2.04
## R-squared       0.02       0.01    3.65
## 
## $Kosovo
##             Estimate Std. Error t value
## (Intercept)   384.90       2.59  148.38
## TEACHSUP       -2.73       2.46   -1.11
## IBTEACH        -8.46       2.22   -3.82
## TDTEACH        13.73       1.35   10.20
## DISCLISCI       8.61       1.64    5.27
## R-squared       0.09       0.01    7.04
## 
## $Lebanon
##             Estimate Std. Error t value
## (Intercept)   399.08       4.46   89.56
## TEACHSUP       12.22       3.15    3.88
## IBTEACH       -26.09       4.23   -6.16
## TDTEACH        13.99       2.74    5.10
## DISCLISCI       9.65       2.79    3.45
## R-squared       0.08       0.02    4.58
## 
## $Lithuania
##             Estimate Std. Error t value
## (Intercept)   483.02       2.51  192.66
## TEACHSUP        4.93       1.57    3.15
## IBTEACH       -10.31       1.66   -6.19
## TDTEACH         2.22       1.29    1.73
## DISCLISCI      14.74       1.55    9.52
## R-squared       0.05       0.01    6.56
## 
## $Luxembourg
##             Estimate Std. Error t value
## (Intercept)   496.57       1.89  262.06
## TEACHSUP       -9.02       1.96   -4.60
## IBTEACH        -6.30       1.79   -3.51
## TDTEACH        15.01       1.72    8.71
## DISCLISCI      19.46       1.42   13.72
## R-squared       0.08       0.01   10.25
## 
## $Latvia
##             Estimate Std. Error t value
## (Intercept)   498.53       1.83  272.92
## TEACHSUP        2.20       2.25    0.98
## IBTEACH       -16.22       2.54   -6.39
## TDTEACH         8.86       1.77    5.00
## DISCLISCI       9.12       1.91    4.76
## R-squared       0.04       0.01    4.73
## 
## $Macao
##             Estimate Std. Error t value
## (Intercept)   529.95       1.41  375.89
## TEACHSUP        1.92       2.44    0.79
## IBTEACH        -7.11       2.69   -2.65
## TDTEACH         9.63       2.19    4.39
## DISCLISCI       8.27       1.91    4.32
## R-squared       0.02       0.01    3.46
## 
## $Moldova
##             Estimate Std. Error t value
## (Intercept)   432.10       2.76  156.57
## TEACHSUP       -5.92       2.39   -2.48
## IBTEACH         0.28       3.16    0.09
## TDTEACH        22.99       1.81   12.70
## DISCLISCI       3.60       2.32    1.55
## R-squared       0.06       0.01    7.09
## 
## $Mexico
##             Estimate Std. Error t value
## (Intercept)   424.92       2.38  178.90
## TEACHSUP       -4.42       1.75   -2.52
## IBTEACH       -10.90       1.74   -6.28
## TDTEACH        12.38       1.46    8.49
## DISCLISCI       9.31       1.94    4.81
## R-squared       0.05       0.01    5.80
## 
## $Macedonia
##             Estimate Std. Error t value
## (Intercept)   389.36       1.58  246.13
## TEACHSUP       -3.52       1.84   -1.92
## IBTEACH        -7.33       2.23   -3.29
## TDTEACH        11.95       1.46    8.16
## DISCLISCI      11.09       1.80    6.17
## R-squared       0.04       0.01    5.29
## 
## $Malta
##             Estimate Std. Error t value
## (Intercept)   468.28       2.10  222.81
## TEACHSUP       13.32       2.80    4.76
## IBTEACH       -12.54       3.31   -3.79
## TDTEACH        12.78       2.80    4.57
## DISCLISCI      25.51       1.98   12.88
## R-squared       0.09       0.01   10.78
## 
## $Montenegro
##             Estimate Std. Error t value
## (Intercept)   423.74       1.35  314.37
## TEACHSUP       -2.49       1.76   -1.42
## IBTEACH       -11.98       1.36   -8.78
## TDTEACH         2.74       1.27    2.15
## DISCLISCI      11.09       1.59    6.99
## R-squared       0.06       0.01    8.10
## 
## $Netherlands
##             Estimate Std. Error t value
## (Intercept)   521.65       3.01  173.53
## TEACHSUP      -14.85       3.07   -4.84
## IBTEACH        -7.86       2.27   -3.46
## TDTEACH        28.47       2.99    9.53
## DISCLISCI      13.97       2.43    5.76
## R-squared       0.06       0.01    5.64
## 
## $Norway
##             Estimate Std. Error t value
## (Intercept)   501.94       2.12  236.69
## TEACHSUP       15.30       1.73    8.84
## IBTEACH       -19.23       2.39   -8.04
## TDTEACH         6.90       1.80    3.83
## DISCLISCI       7.83       1.75    4.48
## R-squared       0.05       0.01    6.36
## 
## $`New Zealand`
##             Estimate Std. Error t value
## (Intercept)   530.81       2.45  216.83
## TEACHSUP        0.44       2.21    0.20
## IBTEACH       -23.47       2.11  -11.11
## TDTEACH        13.20       1.98    6.66
## DISCLISCI      14.48       1.72    8.40
## R-squared       0.06       0.01    7.11
## 
## $Peru
##             Estimate Std. Error t value
## (Intercept)   419.63       2.92  143.47
## TEACHSUP       -6.27       1.91   -3.28
## IBTEACH       -14.61       1.89   -7.74
## TDTEACH         8.97       1.59    5.64
## DISCLISCI       6.09       1.50    4.07
## R-squared       0.05       0.01    5.51
## 
## $Poland
##             Estimate Std. Error t value
## (Intercept)   498.50       2.40  207.30
## TEACHSUP       -4.17       2.23   -1.87
## IBTEACH       -19.19       1.91  -10.03
## TDTEACH        17.27       1.91    9.03
## DISCLISCI       9.55       2.02    4.72
## R-squared       0.07       0.01    7.12
## 
## $Portugal
##             Estimate Std. Error t value
## (Intercept)   507.27       3.03  167.36
## TEACHSUP       -7.22       1.91   -3.77
## IBTEACH        -8.63       2.30   -3.76
## TDTEACH        13.28       1.80    7.37
## DISCLISCI      13.42       2.11    6.34
## R-squared       0.05       0.01    5.55
## 
## $`Argentina (Ciudad Autónoma de Buenos)`
##             Estimate Std. Error t value
## (Intercept)   480.11       6.32   75.98
## TEACHSUP       -9.77       4.31   -2.27
## IBTEACH        -5.10       3.80   -1.34
## TDTEACH        22.03       3.69    5.98
## DISCLISCI       3.89       4.26    0.91
## R-squared       0.05       0.02    2.96
## 
## $Qatar
##             Estimate Std. Error t value
## (Intercept)   439.39       1.64  268.56
## TEACHSUP       11.70       1.88    6.21
## IBTEACH       -22.46       1.19  -18.88
## TDTEACH        13.43       1.03   12.98
## DISCLISCI      19.93       1.25   15.89
## R-squared       0.14       0.01   15.68
## 
## $`B-S-J-G (China)`
##             Estimate Std. Error t value
## (Intercept)   514.54       4.76  108.08
## TEACHSUP        4.33       2.73    1.59
## IBTEACH        -3.60       2.07   -1.74
## TDTEACH        14.73       2.54    5.79
## DISCLISCI      18.36       2.29    8.01
## R-squared       0.06       0.01    6.74
## 
## $`Spain (Regions)`
##             Estimate Std. Error t value
## (Intercept)   500.85       1.53  326.85
## TEACHSUP      -11.16       1.24   -9.00
## IBTEACH        -6.82       1.22   -5.58
## TDTEACH        20.16       1.28   15.71
## DISCLISCI       9.46       1.14    8.28
## R-squared       0.05       0.01    9.54
## 
## $`Massachusettes (USA)`
##             Estimate Std. Error t value
## (Intercept)   527.37       6.33   83.33
## TEACHSUP       -7.62       3.62   -2.11
## IBTEACH       -12.15       3.69   -3.29
## TDTEACH        10.22       2.85    3.59
## DISCLISCI      20.66       4.17    4.96
## R-squared       0.07       0.02    3.99
## 
## $`Puerto Rico (USA)`
##             Estimate Std. Error t value
## (Intercept)   403.78       5.81   69.55
## TEACHSUP        3.91       3.89    1.00
## IBTEACH        -6.57       3.50   -1.88
## TDTEACH        15.10       3.12    4.83
## DISCLISCI      15.31       5.57    2.75
## R-squared       0.10       0.04    2.67
## 
## $`North Carolina (USA)`
##             Estimate Std. Error t value
## (Intercept)   509.46       4.54  112.26
## TEACHSUP       -1.25       2.95   -0.42
## IBTEACH       -14.27       2.98   -4.79
## TDTEACH        13.34       2.52    5.30
## DISCLISCI      19.80       2.98    6.65
## R-squared       0.09       0.02    4.94
## 
## $Romania
##             Estimate Std. Error t value
## (Intercept)   437.34       2.92  149.60
## TEACHSUP      -14.98       2.61   -5.75
## IBTEACH        -2.56       2.49   -1.03
## TDTEACH        17.79       2.25    7.90
## DISCLISCI      21.72       2.33    9.33
## R-squared       0.10       0.01    6.55
## 
## $`Russian Federation`
##             Estimate Std. Error t value
## (Intercept)   495.58       3.11  159.29
## TEACHSUP       -2.17       2.09   -1.04
## IBTEACH       -15.04       2.06   -7.31
## TDTEACH        10.67       1.59    6.71
## DISCLISCI       7.58       1.88    4.03
## R-squared       0.05       0.01    5.36
## 
## $Singapore
##             Estimate Std. Error t value
## (Intercept)   553.49       1.48  374.95
## TEACHSUP        2.19       2.14    1.02
## IBTEACH        -2.21       2.28   -0.97
## TDTEACH        10.99       1.83    5.99
## DISCLISCI      26.99       1.82   14.80
## R-squared       0.08       0.01    9.13
## 
## $`Slovak Republic`
##             Estimate Std. Error t value
## (Intercept)   473.98       2.39  198.65
## TEACHSUP       -9.94       2.04   -4.88
## IBTEACH        -5.49       1.49   -3.69
## TDTEACH         3.92       1.67    2.35
## DISCLISCI      22.57       1.79   12.63
## R-squared       0.08       0.01    7.38
## 
## $Sweden
##             Estimate Std. Error t value
## (Intercept)   506.91       3.30  153.51
## TEACHSUP        8.80       2.37    3.71
## IBTEACH       -12.79       2.07   -6.19
## TDTEACH         7.01       1.90    3.70
## DISCLISCI      11.82       2.03    5.84
## R-squared       0.03       0.01    5.19
## 
## $`Chinese Taipei`
##             Estimate Std. Error t value
## (Intercept)   532.60       3.16  168.69
## TEACHSUP        5.22       2.20    2.38
## IBTEACH        -5.22       1.69   -3.08
## TDTEACH        10.20       2.05    4.99
## DISCLISCI       9.50       2.21    4.30
## R-squared       0.03       0.01    4.50
## 
## $Thailand
##             Estimate Std. Error t value
## (Intercept)   424.99       3.59  118.55
## TEACHSUP        0.46       2.09    0.22
## IBTEACH        -3.82       1.68   -2.27
## TDTEACH         4.39       1.87    2.34
## DISCLISCI       4.39       1.58    2.79
## R-squared       0.01       0.00    2.14
## 
## $`Trinidad and Tobago`
##             Estimate Std. Error t value
## (Intercept)   433.75       1.76  245.93
## TEACHSUP       -1.24       2.21   -0.56
## IBTEACH        -1.88       2.20   -0.85
## TDTEACH         7.78       1.86    4.18
## DISCLISCI      24.01       1.78   13.45
## R-squared       0.07       0.01    8.27
## 
## $Tunisia
##             Estimate Std. Error t value
## (Intercept)   397.51       2.74  145.15
## TEACHSUP       -5.38       1.86   -2.89
## IBTEACH       -12.08       1.68   -7.18
## TDTEACH         9.55       1.35    7.09
## DISCLISCI       0.13       1.85    0.07
## R-squared       0.05       0.01    5.81
## 
## $Turkey
##             Estimate Std. Error t value
## (Intercept)   436.78       4.18  104.45
## TEACHSUP        2.36       2.01    1.18
## IBTEACH       -12.70       1.62   -7.87
## TDTEACH         6.67       1.60    4.17
## DISCLISCI       9.80       2.26    4.34
## R-squared       0.05       0.01    4.85
## 
## $Uruguay
##             Estimate Std. Error t value
## (Intercept)   462.01       2.41  191.76
## TEACHSUP       -8.71       1.70   -5.11
## IBTEACH       -11.38       1.69   -6.72
## TDTEACH        18.02       1.89    9.53
## DISCLISCI       8.10       1.87    4.32
## R-squared       0.07       0.01    6.26
## 
## $`United States`
##             Estimate Std. Error t value
## (Intercept)   497.24       2.63  189.21
## TEACHSUP        2.67       2.14    1.25
## IBTEACH       -15.85       1.82   -8.69
## TDTEACH        11.29       1.55    7.28
## DISCLISCI      21.23       1.66   12.81
## R-squared       0.09       0.01    9.50
## 
## $Vietnam
##             Estimate Std. Error t value
## (Intercept)   520.79       3.91  133.14
## TEACHSUP       13.24       2.74    4.83
## IBTEACH       -11.53       3.41   -3.38
## TDTEACH        11.91       2.46    4.84
## DISCLISCI       7.22       2.82    2.56
## R-squared       0.04       0.01    4.00