| Literature DB >> 27322105 |
Insu Paek1, Zhen Li2, Hyun-Jeong Park3.
Abstract
When categorical ordinal item response data are collected over multiple timepoints from a repeated measures design, an item response theory (IRT) modeling approach whose unit of analysis is an item response is suitable. This study proposes a few longitudinal IRT models and illustrates how a popular compensatory multidimensional IRT model can be utilized to formulate such longitudinal IRT models, which permits an investigation of ability growth at both individual and population levels. The equivalence of an existing multidimensional IRT model and those longitudinal IRT models is also elaborated so that one can make use of an existing multidimensional IRT model to implement the longitudinal IRT models.Keywords: IRT for longitudinal data analysis; IRT for repeated measures data; IRT growth modeling; multidimensional IRT
Mesh:
Year: 2016 PMID: 27322105 DOI: 10.1080/00273171.2016.1178567
Source DB: PubMed Journal: Multivariate Behav Res ISSN: 0027-3171 Impact factor: 5.923