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ERIC Number: EJ911227
Record Type: Journal
Publication Date: 2010-Dec
Pages: 22
Abstractor: As Provided
ISSN: ISSN-1076-9986
IRT-ZIP Modeling for Multivariate Zero-Inflated Count Data
Wang, Lijuan
Journal of Educational and Behavioral Statistics, v35 n6 p671-692 Dec 2010
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.)
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: National Longitudinal Survey of Youth