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Autor/inn/enChung, Seungwon; Houts, Carrie
TitelflexMIRT: A Flexible Modeling Package for Multidimensional Item Response Models
QuelleIn: Measurement: Interdisciplinary Research and Perspectives, 18 (2020) 1, S.40-54 (15 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1536-6367
DOI10.1080/15366367.2019.1693825
SchlagwörterRezension; Item Response Theory; Evaluation Methods; Models; Factor Analysis; Behavioral Sciences; Social Sciences; Computer Software; Correlation; Goodness of Fit; Genetics; Classification
AbstractAdvanced modeling of item response data through the item response theory (IRT) or item factor analysis frameworks is becoming increasingly popular. In the social and behavioral sciences, the underlying structure of tests/assessments is often multidimensional (i.e., more than 1 latent variable/construct is represented in the items). This review provides an introduction and overview of flexMIRT 3.5, a commercially available statistical software program for the analysis of item response data that was developed specifically for fitting such complex models. Three models are used as motivating examples: (a) a bifactor model, (b) a multidimensional IRT (MIRT) model with correlated factors and (c) a diagnostic classification model with testlet structure. Discussion regarding flexMIRT input syntax and output files is provided and the topics of model fit evaluation, limited-information fit statistics in particular, and specifics of more recently introduced estimation methods and models are also covered. (As Provided).
AnmerkungenRoutledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2022/1/01
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