IRT-ZIP Modeling for Multivariate Zero-Inflated Count Data

Autor/in	Wang, Lijuan
Titel	IRT-ZIP Modeling for Multivariate Zero-Inflated Count Data
Quelle	In: Journal of Educational and Behavioral Statistics, 35 (2010) 6, S.671-692 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998610375838
Schlagwörter	Item Response Theory; Models; Test Items; Psychometrics; Prediction; Scores; Smoking; Drinking; Marijuana; Youth; National Longitudinal Survey of Youth + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Analogiemodell; Test content; Testaufgabe; Psychometry; Psychometrie; Vorhersage; Rauchen; Trinken; Jugend; Jugendlicher; Jugendalter
Abstract	This study introduces an item response theory-zero-inflated Poisson (IRT-ZIP) model to investigate psychometric properties of multiple items and predict individuals' latent trait scores for multivariate zero-inflated count data. In the model, two link functions are used to capture two processes of the zero-inflated count data. Item parameters are included to investigate item performance from both propensity and level perspectives. The application of the model was illustrated by analyzing the substance use data from the National Longitudinal Study of Youth. A simulation study based on the empirical data analysis scenario showed that the item parameters can be recovered accurately and precisely with adequate sample sizes. Limitations and future directions are discussed. (Contains 3 figures, 5 tables and 2 notes.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10