llradat3

Artificial data set of 3 items, 2 time points and 2 groups for LLRA. It
is example 6 from Hatzinger and Rusch (2009).

datasets

eRm fits Rasch models (RM), linear logistic test models (LLTM), rating scale model (RSM), linear rating scale models (LRSM), partial credit models (PCM), and linear partial credit models (LPCM).  Missing values are allowed in the data matrix.  Additional features are the ML estimation of the person parameters, Andersen's LR-test, item-specific Wald test, Martin-Loef-Test, nonparametric Monte-Carlo Tests, itemfit and personfit statistics including infit and outfit measures, various ICC and related plots, automated stepwise item elimination, simulation module for various binary data matrices.  An eRm platform is provided at R-forge (see URL).

Patrick Mair

Extended Rasch Modeling

llradat3 function

A data frame with 60 observations of 6 variables.
 <ul><li>V1</li></ul>{ Answers to item 1 at time point 1}
 <item>V2</item>{ Answers to item 2 at time point 1}
 <item>V3</item>{ Answers to item 3 at time point 1}
 <item>V4</item>{ Answers to item 1 at time point 2}
 <item>V5</item>{ Answers to item 2 at time point 2}
 <item>V6</item>{ Answers to item 3 at time point 2}

llradat3: An Artifical LLRA Data Set

Description

Usage

Arguments

format

Details

References

Examples