data.mixed1

Dataset with mixed dichotomous and polytomous item responses.

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.mixed1 function

A data frame with 1000 observations on the following 37 variables.
<code>'data.frame': 1000 obs. of 37 variables:</code> 
<code> $ I01: num 1 1 1 1 1 1 1 0 1 1 ...</code> 
<code> $ I02: num 1 1 1 1 1 1 1 1 0 1 ...</code> 
<code> [...]</code> 
<code> $ I36: num 1 1 1 1 0 0 0 0 1 1 ...</code> 
<code> $ I37: num 0 1 1 1 0 1 0 0 1 1 ...</code>

Format

Dataset with Mixed Dichotomous and Polytomous Item Responses — data.mixed1

A data frame with 1000 observations on the following 37 variables.
<code>'data.frame': 1000 obs. of 37 variables:</code> 
<code> $ I01: num 1 1 1 1 1 1 1 0 1 1 ...</code> 
<code> $ I02: num 1 1 1 1 1 1 1 1 0 1 ...</code> 
<code> [...]</code> 
<code> $ I36: num 1 1 1 1 0 0 0 0 1 1 ...</code> 
<code> $ I37: num 0 1 1 1 0 1 0 0 1 1 ...</code>

data.mixed1: Dataset with Mixed Dichotomous and Polytomous Item Responses

Description

Usage

Arguments

Format

Examples