data.ml: Multilevel Datasets

In alexanderrobitzsch/sirt: Supplementary Item Response Theory Models

Multilevel Datasets

Description

Datasets for conducting multilevel IRT analysis. This dataset is used in the examples of the function mcmc.2pno.ml.

Usage

data(data.ml1)
data(data.ml2)

Format

• data.ml1

  A data frame with 2000 student observations in 100 classes on 17 variables. The first variable group contains the class identifier. The remaining 16 variables are dichotomous test items.

  'data.frame': 2000 obs. of 17 variables:
$ group: num 1001 1001 1001 1001 1001 ...
$ X1 : num 1 1 1 1 1 1 1 1 1 1 ...
$ X2 : num 1 1 1 0 1 1 1 1 1 1 ...
$ X3 : num 0 1 1 0 1 0 1 0 1 0 ...
$ X4 : num 1 1 1 0 0 1 1 1 1 1 ...
$ X5 : num 0 0 0 1 1 1 0 0 1 1 ...
[...]
$ X16 : num 0 0 1 0 0 0 1 0 0 0 ...
  

• data.ml2

  A data frame with 2000 student observations in 100 classes on 6 variables. The first variable group contains the class identifier. The remaining 5 variables are polytomous test items.

  'data.frame': 2000 obs. of 6 variables:
$ group: num 1 1 1 1 1 1 1 1 1 1 ...
$ X1 : num 2 3 4 3 3 3 1 4 4 3 ...
$ X2 : num 2 2 4 3 3 2 2 3 4 3 ...
$ X3 : num 3 4 5 4 2 3 3 4 4 2 ...
$ X4 : num 2 3 3 2 1 3 1 4 4 3 ...
$ X5 : num 2 3 3 2 3 3 1 3 2 2 ...
  

alexanderrobitzsch/sirt documentation built on Dec. 1, 2024, 2:18 a.m.