graded.RdA data set containing graded response items information. Example data regenerated from CTA1
gradedA data frame with variables:
School ID
Student ID
0 = boys; 1 = girls
0 = White; 1 = Others
Pre test scores
Standardized scores
Cluster-mean of sex
Cluster-mean of race
Cluster-mean of Pre test scores
Cluster-mean of of Standardized scores
Treatment assignment; 0 = control, 1 = treatment
Outcome
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
Graded response item
CTA1
data(graded)
summary(graded)
#> schid id sex race
#> Min. : 1.00 Min. : 1 Min. :0.0000 Min. :0.0000
#> 1st Qu.:14.00 1st Qu.:1192 1st Qu.:0.0000 1st Qu.:0.0000
#> Median :34.00 Median :2384 Median :0.0000 Median :0.0000
#> Mean :31.92 Mean :2384 Mean :0.4933 Mean :0.4096
#> 3rd Qu.:49.00 3rd Qu.:3575 3rd Qu.:1.0000 3rd Qu.:1.0000
#> Max. :63.00 Max. :4766 Max. :1.0000 Max. :1.0000
#>
#> pretest stdscore cm_sex cm_race
#> Min. : 0.00 Min. :-4.01230 Min. :0.0000 Min. :0.00000
#> 1st Qu.:12.00 1st Qu.:-0.60500 1st Qu.:0.4483 1st Qu.:0.08333
#> Median :16.00 Median :-0.02870 Median :0.4966 Median :0.39442
#> Mean :16.75 Mean : 0.03486 Mean :0.4933 Mean :0.40957
#> 3rd Qu.:21.00 3rd Qu.: 0.67530 3rd Qu.:0.5235 3rd Qu.:0.81967
#> Max. :40.00 Max. : 4.68320 Max. :1.0000 Max. :1.00000
#>
#> cm_pretest cm_stdscore trt Y
#> Min. : 7.00 Min. :-1.031270 Min. :0.0 Min. :-1.7830
#> 1st Qu.:14.98 1st Qu.:-0.236336 1st Qu.:0.0 1st Qu.:-0.9370
#> Median :16.85 Median :-0.008853 Median :0.5 Median :-0.4535
#> Mean :16.75 Mean : 0.034864 Mean :0.5 Mean :-0.3588
#> 3rd Qu.:18.11 3rd Qu.: 0.304812 3rd Qu.:1.0 3rd Qu.: 0.1485
#> Max. :23.41 Max. : 2.157150 Max. :1.0 Max. : 2.3080
#>
#> q1 q2 q3 q4
#> Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
#> 1st Qu.:1.000 1st Qu.:1.000 1st Qu.:3.000 1st Qu.:3.000
#> Median :1.000 Median :1.000 Median :3.000 Median :3.000
#> Mean :1.681 Mean :1.622 Mean :2.934 Mean :2.816
#> 3rd Qu.:2.000 3rd Qu.:2.000 3rd Qu.:3.000 3rd Qu.:3.000
#> Max. :4.000 Max. :4.000 Max. :4.000 Max. :4.000
#> NA's :2132 NA's :2604 NA's :2401 NA's :2448
#> q5 q6 q7 q8 q9
#> Min. :1.000 Min. :1.00 Min. :1.00 Min. :1.000 Min. :1.000
#> 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:3.00 1st Qu.:1.000 1st Qu.:3.000
#> Median :3.000 Median :3.00 Median :4.00 Median :2.000 Median :3.000
#> Mean :2.837 Mean :2.78 Mean :3.36 Mean :2.019 Mean :2.994
#> 3rd Qu.:4.000 3rd Qu.:4.00 3rd Qu.:4.00 3rd Qu.:3.000 3rd Qu.:4.000
#> Max. :4.000 Max. :4.00 Max. :4.00 Max. :4.000 Max. :4.000
#> NA's :2476 NA's :2528 NA's :2555 NA's :2957 NA's :3036
#> q10 q11 q12 q13 q14
#> Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.00 Min. :1.000
#> 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:1.000 1st Qu.:1.00 1st Qu.:2.000
#> Median :3.000 Median :3.00 Median :3.000 Median :1.00 Median :3.000
#> Mean :2.635 Mean :2.92 Mean :2.694 Mean :1.55 Mean :2.598
#> 3rd Qu.:4.000 3rd Qu.:4.00 3rd Qu.:4.000 3rd Qu.:2.00 3rd Qu.:3.000
#> Max. :4.000 Max. :4.00 Max. :4.000 Max. :4.00 Max. :4.000
#> NA's :3087 NA's :3135 NA's :3162 NA's :3437 NA's :3462
#> q15 q16 q17 q18 q19
#> Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
#> 1st Qu.:1.00 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:2.000
#> Median :2.00 Median :3.000 Median :3.000 Median :3.000 Median :3.000
#> Mean :1.87 Mean :2.811 Mean :2.684 Mean :2.937 Mean :2.714
#> 3rd Qu.:3.00 3rd Qu.:4.000 3rd Qu.:3.000 3rd Qu.:4.000 3rd Qu.:3.000
#> Max. :4.00 Max. :4.000 Max. :4.000 Max. :4.000 Max. :4.000
#> NA's :3481 NA's :3489 NA's :3506 NA's :3520 NA's :3537
#> q20
#> Min. :1.000
#> 1st Qu.:1.000
#> Median :3.000
#> Mean :2.874
#> 3rd Qu.:4.000
#> Max. :4.000
#> NA's :3567