data.timss

This datasets contains TIMSS mathematics data from 345 students
on 25 items.

Supplementary functions for item response models aiming
to complement existing R packages. The functionality includes among others
multidimensional compensatory and noncompensatory IRT models
(Reckase, 2009, <doi:10.1007/978-0-387-89976-3>),
MCMC for hierarchical IRT models and testlet models
(Fox, 2010, <doi:10.1007/978-1-4419-0742-4>),
NOHARM (McDonald, 1982, <doi:10.1177/014662168200600402>),
Rasch copula model (Braeken, 2011, <doi:10.1007/s11336-010-9190-4>;
Schroeders, Robitzsch & Schipolowski, 2014, <doi:10.1111/jedm.12054>),
faceted and hierarchical rater models (DeCarlo, Kim & Johnson, 2011,
<doi:10.1111/j.1745-3984.2011.00143.x>),
ordinal IRT model (ISOP; Scheiblechner, 1995, <doi:10.1007/BF02301417>),
DETECT statistic (Stout, Habing, Douglas & Kim, 1996,
<doi:10.1177/014662169602000403>), local structural equation modeling
(LSEM; Hildebrandt, Luedtke, Robitzsch, Sommer & Wilhelm, 2016,
<doi:10.1080/00273171.2016.1142856>).

Alexander Robitzsch

sirt

Supplementary Item Response Theory Models

data.timss function

This dataset is a list. <code>data</code> is the dataset containing
student ID (<code>idstud</code>), a dummy variable for female (<code>girl</code>)
and student age (<code>age</code>). The following variables (starting with
<code>M</code> in the variable name are items.
The format is:
<code>List of 2</code> 
<code> $ data:'data.frame':</code> 
<code> ..$ idstud : num [1:345] 4e+09 4e+09 4e+09 4e+09 4e+09 ...</code> 
<code> ..$ girl : int [1:345] 0 0 0 0 0 0 0 0 1 0 ...</code> 
<code> ..$ age : num [1:345] 10.5 10 10.25 10.25 9.92 ...</code> 
<code> ..$ M031286 : int [1:345] 0 0 0 1 1 0 1 0 1 0 ...</code> 
<code> ..$ M031106 : int [1:345] 0 0 0 1 1 0 1 1 0 0 ...</code> 
<code> ..$ M031282 : int [1:345] 0 0 0 1 1 0 1 1 0 0 ...</code> 
<code> ..$ M031227 : int [1:345] 0 0 0 0 1 0 0 0 0 0 ...</code> 
<code> [...]</code> 
<code> ..$ M041203 : int [1:345] 0 0 0 1 1 0 0 0 0 1 ...</code> 
<code> $ item:'data.frame':</code> 
<code> ..$ item : Factor w/ 25 levels "M031045","M031068",..: ...</code> 
<code> ..$ Block : Factor w/ 2 levels "M01","M02": 1 1 1 1 1 1 ..</code> 
<code> ..$ Format : Factor w/ 2 levels "CR","MC": 1 1 1 1 2 ...</code> 
<code> ..$ Content.Domain : Factor w/ 3 levels "Data Display",..: 3 3 3 3 ...</code> 
<code> ..$ Cognitive.Domain: Factor w/ 3 levels "Applying","Knowing",..: 2 3 3 ..</code>

Format

Dataset TIMSS Mathematics — data.timss

This dataset is a list. <code>data</code> is the dataset containing
student ID (<code>idstud</code>), a dummy variable for female (<code>girl</code>)
and student age (<code>age</code>). The following variables (starting with
<code>M</code> in the variable name are items.
The format is:
<code>List of 2</code> 
<code> $ data:'data.frame':</code> 
<code> ..$ idstud : num [1:345] 4e+09 4e+09 4e+09 4e+09 4e+09 ...</code> 
<code> ..$ girl : int [1:345] 0 0 0 0 0 0 0 0 1 0 ...</code> 
<code> ..$ age : num [1:345] 10.5 10 10.25 10.25 9.92 ...</code> 
<code> ..$ M031286 : int [1:345] 0 0 0 1 1 0 1 0 1 0 ...</code> 
<code> ..$ M031106 : int [1:345] 0 0 0 1 1 0 1 1 0 0 ...</code> 
<code> ..$ M031282 : int [1:345] 0 0 0 1 1 0 1 1 0 0 ...</code> 
<code> ..$ M031227 : int [1:345] 0 0 0 0 1 0 0 0 0 0 ...</code> 
<code> [...]</code> 
<code> ..$ M041203 : int [1:345] 0 0 0 1 1 0 0 0 0 1 ...</code> 
<code> $ item:'data.frame':</code> 
<code> ..$ item : Factor w/ 25 levels "M031045","M031068",..: ...</code> 
<code> ..$ Block : Factor w/ 2 levels "M01","M02": 1 1 1 1 1 1 ..</code> 
<code> ..$ Format : Factor w/ 2 levels "CR","MC": 1 1 1 1 2 ...</code> 
<code> ..$ Content.Domain : Factor w/ 3 levels "Data Display",..: 3 3 3 3 ...</code> 
<code> ..$ Cognitive.Domain: Factor w/ 3 levels "Applying","Knowing",..: 2 3 3 ..</code>

data.timss: Dataset TIMSS Mathematics

Description

Usage

Arguments

Format