data.raw1


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.raw1 function

<p>A data frame with raw item responses of 1200 persons on the following 77 items:</p><p><code>'data.frame':   1200 obs. of  77 variables:</code> 
<code> $ I101: num  0 0 0 2 0 0 0 0 0 0 ...</code> 
<code> $ I102: int  NA NA 2 1 2 1 3 2 NA NA ...</code> 
<code> $ I103: int  1 1 NA NA NA NA NA NA 1 1 ...</code> 
<code> ...</code> 
<code> $ I179: chr  "E" "C" "D" "E" ...</code></p>

data.raw1: Dataset with Raw Item Responses

Description

Usage

Arguments

Format