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ERIC Number: EJ943096
Record Type: Journal
Publication Date: 2011-Oct
Pages: 23
Abstractor: As Provided
Reference Count: 27
ISBN: N/A
ISSN: ISSN-1076-9986
Posterior Predictive Model Checking for Conjunctive Multidimensionality in Item Response Theory
Levy, Roy
Journal of Educational and Behavioral Statistics, v36 n5 p672-694 Oct 2011
If data exhibit multidimensionality, key conditional independence assumptions of unidimensional models do not hold. The current work pursues posterior predictive model checking (PPMC) as a tool for criticizing models due to unaccounted for dimensions in data structures that follow conjunctive multidimensional models. These pursuits are couched in previous work investigating factors influencing dimensionality and dimensionality assessment. A simulation study investigates the model checking tools in the context of item response theory (IRT) for dichotomous observables, in which a unidimensional model is fit to data that follow a conjunctive multidimensional model. Key findings include (a) support for the hypothesized effects of the manipulated factors and (b) the superiority of certain discrepancy measures for conducting PPMC for dimensionality assessment. (Contains 6 figures, 2 tables, and 2 notes.)
SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A