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ERIC Number: EJ1331130
Record Type: Journal
Publication Date: 2022
Pages: 7
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1536-6367
EISSN: N/A
Available Date: N/A
Using SAS PROC IRT for Multidimensional Item Response Theory Analysis
Cole, Ki; Paek, Insu
Measurement: Interdisciplinary Research and Perspectives, v20 n1 p49-55 2022
Statistical Analysis Software (SAS) is a widely used tool for data management analysis across a variety of fields. The procedure for item response theory (PROC IRT) is one to perform unidimensional and multidimensional item response theory (IRT) analysis for dichotomous and polytomous data. This review provides a summary of the features of PROC IRT specifically for multidimensional data with examples provided for simple structure data, complex structure data, and bifactor data. Instructive examples for dichotomous data (using the Rasch and 2-parameter logistic models) and polytomous data (using the graded response model) are given. Explanations of the syntax are also presented.
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
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A