docs/timss2019.md

In eldafani/intsvy: International Assessment Data Manager

Examples with TIMSS 2019

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

Grade 4

Read data

The object dir specifies the directory path where the TIMSS 2019 data is located (eg. “/home/data”). Variable selection can be done with aid of timssg4.var.label(dir)

timss <- timssg4.select.merge(folder= dir,
         student= c("ITSEX", "ASBG05A", "ASBG05B", "ASBG05C", "ASBG05D",
                    "ASBG03"), 
         home= c("ASBH14", "ASBH10", "ASDHEDUP", "ASDHOCCP", "ASBH17A", "ASBH17B"),
         school= c("ACBG05B"), 
         countries = c("ARE", "CHL", "CAN", "HUN"))

Calculate mean math performance by education system

timss.mean.pv(pvlabel=paste0("ASMMAT0", 1:5), by= "IDCNTRYL", data=timss)

##               IDCNTRYL  Freq   Mean s.e.    SD  s.e
## 1               Canada 13653 511.56 1.86 76.24 1.19
## 2                Chile  4174 440.97 2.72 74.92 1.59
## 3              Hungary  4571 523.43 2.64 77.62 1.45
## 4 United Arab Emirates 25834 481.39 1.71 98.53 0.87

Calculate mean math performance by education system and student’s sex

timss.mean.pv(pvlabel= paste0("ASMMAT0", 1:5), by= c("IDCNTRYL", "ITSEX"), data=timss)

##                IDCNTRYL ITSEX  Freq   Mean  s.e.     SD   s.e
## 1                Canada     1  6731 501.92  2.54  74.27  1.50
## 2                Canada     2  6884 520.79  1.95  76.96  1.32
## 3                Canada  <NA>    38 496.52 12.87  73.07 10.20
## 4                 Chile     1  2076 436.66  3.43  73.16  1.94
## 5                 Chile     2  2098 445.21  3.13  76.37  2.18
## 6               Hungary     1  2212 517.63  3.03  75.67  1.93
## 7               Hungary     2  2359 528.82  3.06  79.02  1.79
## 8  United Arab Emirates     1 12885 477.43  2.53  95.42  1.07
## 9  United Arab Emirates     2 12879 485.60  2.27 101.43  1.30
## 10 United Arab Emirates  <NA>    70 441.38 13.20  82.65 12.13

International benchmarks by education system

intsvy.ben.pv(pvnames= paste0("ASMMAT0", 1:5), cutoff =   c(400, 475, 550, 625), 
              by= c("IDCNTRYL", "ITSEX"), data=timss, config = timss4_conf)

##                IDCNTRYL ITSEX       Benchmark Percentage Std. err.
## 1                Canada     1 At or above 400      90.94      0.76
## 2                Canada     1 At or above 475      64.75      1.37
## 3                Canada     1 At or above 550      26.60      1.37
## 4                Canada     1 At or above 625       4.33      0.70
## 5                Canada     2 At or above 400      93.79      0.58
## 6                Canada     2 At or above 475      72.52      1.14
## 7                Canada     2 At or above 550      36.61      1.23
## 8                Canada     2 At or above 625       8.38      0.82
## 9                Canada  <NA> At or above 400      93.11      4.66
## 10               Canada  <NA> At or above 475      62.04     10.31
## 11               Canada  <NA> At or above 550      19.92      9.81
## 12               Canada  <NA> At or above 625       5.50      4.61
## 13                Chile     1 At or above 400      68.78      2.04
## 14                Chile     1 At or above 475      30.42      1.85
## 15                Chile     1 At or above 550       6.01      0.72
## 16                Chile     1 At or above 625       0.43      0.13
## 17                Chile     2 At or above 400      71.95      1.81
## 18                Chile     2 At or above 475      35.61      1.69
## 19                Chile     2 At or above 550       8.57      0.85
## 20                Chile     2 At or above 625       0.77      0.21
## 21              Hungary     1 At or above 400      93.05      1.00
## 22              Hungary     1 At or above 475      71.58      1.72
## 23              Hungary     1 At or above 550      35.07      1.55
## 24              Hungary     1 At or above 625       7.33      0.94
## 25              Hungary     2 At or above 400      93.43      0.98
## 26              Hungary     2 At or above 475      75.56      1.56
## 27              Hungary     2 At or above 550      41.93      1.71
## 28              Hungary     2 At or above 625      10.63      0.94
## 29 United Arab Emirates     1 At or above 400      78.53      0.89
## 30 United Arab Emirates     1 At or above 475      51.68      1.28
## 31 United Arab Emirates     1 At or above 550      23.57      0.90
## 32 United Arab Emirates     1 At or above 625       5.79      0.45
## 33 United Arab Emirates     2 At or above 400      78.45      0.98
## 34 United Arab Emirates     2 At or above 475      55.26      1.04
## 35 United Arab Emirates     2 At or above 550      28.78      0.87
## 36 United Arab Emirates     2 At or above 625       7.94      0.40
## 37 United Arab Emirates  <NA> At or above 400      73.02      7.56
## 38 United Arab Emirates  <NA> At or above 475      37.10      7.11
## 39 United Arab Emirates  <NA> At or above 550       7.80      4.02
## 40 United Arab Emirates  <NA> At or above 625       0.32      0.53

International benchmarks by education system and student’s sex

intsvy.ben.pv(pvnames= paste0("ASMMAT0", 1:5), cutoff =   c(400, 475, 550, 625), 
              by= c("IDCNTRYL", "ITSEX"), data=timss, config = timss4_conf)

##                IDCNTRYL ITSEX       Benchmark Percentage Std. err.
## 1                Canada     1 At or above 400      90.94      0.76
## 2                Canada     1 At or above 475      64.75      1.37
## 3                Canada     1 At or above 550      26.60      1.37
## 4                Canada     1 At or above 625       4.33      0.70
## 5                Canada     2 At or above 400      93.79      0.58
## 6                Canada     2 At or above 475      72.52      1.14
## 7                Canada     2 At or above 550      36.61      1.23
## 8                Canada     2 At or above 625       8.38      0.82
## 9                Canada  <NA> At or above 400      93.11      4.66
## 10               Canada  <NA> At or above 475      62.04     10.31
## 11               Canada  <NA> At or above 550      19.92      9.81
## 12               Canada  <NA> At or above 625       5.50      4.61
## 13                Chile     1 At or above 400      68.78      2.04
## 14                Chile     1 At or above 475      30.42      1.85
## 15                Chile     1 At or above 550       6.01      0.72
## 16                Chile     1 At or above 625       0.43      0.13
## 17                Chile     2 At or above 400      71.95      1.81
## 18                Chile     2 At or above 475      35.61      1.69
## 19                Chile     2 At or above 550       8.57      0.85
## 20                Chile     2 At or above 625       0.77      0.21
## 21              Hungary     1 At or above 400      93.05      1.00
## 22              Hungary     1 At or above 475      71.58      1.72
## 23              Hungary     1 At or above 550      35.07      1.55
## 24              Hungary     1 At or above 625       7.33      0.94
## 25              Hungary     2 At or above 400      93.43      0.98
## 26              Hungary     2 At or above 475      75.56      1.56
## 27              Hungary     2 At or above 550      41.93      1.71
## 28              Hungary     2 At or above 625      10.63      0.94
## 29 United Arab Emirates     1 At or above 400      78.53      0.89
## 30 United Arab Emirates     1 At or above 475      51.68      1.28
## 31 United Arab Emirates     1 At or above 550      23.57      0.90
## 32 United Arab Emirates     1 At or above 625       5.79      0.45
## 33 United Arab Emirates     2 At or above 400      78.45      0.98
## 34 United Arab Emirates     2 At or above 475      55.26      1.04
## 35 United Arab Emirates     2 At or above 550      28.78      0.87
## 36 United Arab Emirates     2 At or above 625       7.94      0.40
## 37 United Arab Emirates  <NA> At or above 400      73.02      7.56
## 38 United Arab Emirates  <NA> At or above 475      37.10      7.11
## 39 United Arab Emirates  <NA> At or above 550       7.80      4.02
## 40 United Arab Emirates  <NA> At or above 625       0.32      0.53

eldafani/intsvy documentation built on March 18, 2024, 7:54 p.m.