data.pars1.rasch

data.pars1.2pl

The datasets contain item parameters to be prepared for linking
using the function <code><a href="/link/linking.haberman?package=sirt&version=1.5-0" rd-options="" data-mini-rdoc="sirt::linking.haberman">linking.haberman</a></code>.

datasets


    Supplementary item response theory models to complement existing 
    functions in R, including multidimensional compensatory and
    noncompensatory IRT models, MCMC for hierarchical IRT models and 
    testlet models, NOHARM, faceted and hierarchical rater models, 
    ordinal IRT model (ISOP), discrete grade of membership model,
    latent regression models, DETECT statistic.

Alexander Robitzsch

sirt

Supplementary Item Response Theory Models

data.pars1.rasch function

<ul><li>The format of<code>data.pars1.rasch</code>is:<code>'data.frame':   22 obs. of  4 variables:</code><code>$ study: chr  "study1" "study1" "study1" "study1" ...</code><code>$ item : Factor w/ 12 levels "M133","M176",..: 1 2 3 4 5 1 6 7 3 8 ...</code><code>$ a    : num  1 1 1 1 1 1 1 1 1 1 ...</code><code>$ b    : num  -1.5862 0.40762 1.78031 2.00382 0.00862 ...</code>Item slopes<code>a</code>are fixed to 1 in 1PL estimation. Item difficulties
are denoted by<code>b</code>.</li><li>The format of<code>data.pars1.2pl</code>is:<code>'data.frame':   22 obs. of  4 variables:</code><code>$ study: chr  "study1" "study1" "study1" "study1" ...</code><code>$ item : Factor w/ 12 levels "M133","M176",..: 1 2 3 4 5 1 6 7 3 8 ...</code><code>$ a    : num  1.238 0.957 1.83 1.927 2.298 ...</code><code>$ b    : num  -1.16607 0.35844 1.06571 1.17159 0.00792 ...</code></li></ul>

data.pars1.rasch: Item Parameters for Three Studies Obtained by 1PL and 2PL Estimation

Description

Usage

Arguments

format