Literaturnachweis - Detailanzeige
Autor/inn/en | Chung, Seungwon; Houts, Carrie |
---|---|
Titel | flexMIRT: A Flexible Modeling Package for Multidimensional Item Response Models |
Quelle | In: Measurement: Interdisciplinary Research and Perspectives, 18 (2020) 1, S.40-54 (15 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1536-6367 |
DOI | 10.1080/15366367.2019.1693825 |
Schlagwörter | Rezension; Item Response Theory; Evaluation Methods; Models; Factor Analysis; Behavioral Sciences; Social Sciences; Computer Software; Correlation; Goodness of Fit; Genetics; Classification |
Abstract | Advanced 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). |
Anmerkungen | Routledge. 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 von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2022/1/01 |