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ERIC Number: EJ1153781
Record Type: Journal
Publication Date: 2017-Oct
Pages: 28
Abstractor: As Provided
ISSN: ISSN-1076-9986
Item Response Modeling of Multivariate Count Data with Zero Inflation, Maximum Inflation, and Heaping
Magnus, Brooke E.; Thissen, David
Journal of Educational and Behavioral Statistics, v42 n5 p531-558 Oct 2017
Questionnaires that include items eliciting count responses are becoming increasingly common in psychology. This study proposes methodological techniques to overcome some of the challenges associated with analyzing multivariate item response data that exhibit zero inflation, maximum inflation, and heaping at preferred digits. The modeling framework combines approaches from three literatures: item response theory (IRT) models for multivariate count data, latent variable models for heaping and extreme responding, and mixture IRT models. Data from the Behavioral Risk Factor Surveillance System are used as a motivating example. Practical implications are discussed, and recommendations are provided for researchers who may wish to use count items on questionnaires.
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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: Behavioral Risk Factor Surveillance System
Grant or Contract Numbers: N/A