Literature DB >> 27322105

Specifying Ability Growth Models Using a Multidimensional Item Response Model for Repeated Measures Categorical Ordinal Item Response Data.

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


  1 in total

1.  Evidence That Selecting an Appropriate Item Response Theory-Based Approach to Scoring Surveys Can Help Avoid Biased Treatment Effect Estimates.

Authors:  James Soland
Journal:  Educ Psychol Meas       Date:  2021-05-03       Impact factor: 2.821

  1 in total

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