Software Note: Obtaining Comparable Item Parameter Estimates in MULTILOG and PARSCALE for Two Polytomous IRT Models

Applied Psychological Measurement

Volumn 23, Issue 4, 1999, Pages 371-379

  Childs, Ruth A ^a   Chen, Wen Hung ^b  

^a UNIVERSITY OF TORONTO   (Canada)

^b AMERICAN INSTITUTES FOR RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84990318136     PISSN: 01466216     EISSN: None     Source Type: Journal    
DOI: 10.1177/01466219922031482     Document Type: Article

References (8)

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2. Bock, R. D. (1972). Estimating item parameters and latent ability when responses are scored in two or more nominal categories. Psychometrika, 37, 29-51.
3. Childs, R. A., & Schlumpf, K. (1999). IRTGRAPH: Item response theory graphics using SAS/GRAPH. Applied Psychological Measurement, 23, 262-262.
4. Muraki, E. (1992). Ageneralized partial credit model: Application of an EM algorithm. Applied Psychological Measurement, 16, 159-176.
5. Muraki, E., & Bock, R. D. (1996). PARSCALE: IRT based test scoring and item analysis for graded open-ended exercises and performance tasks (Version 3)[Computer software]. Chicago: Scientific Software.
6. Samejima, F. (1969). Estimation of ability using a response pattern of graded scores. Psychometrika Monograph, No. 17.
7. Samejima, F. (1997). Graded response model. In W. J. van der Linden & R. K. Hambleton (Eds.), Handbook of modern item response theory(pp.85-100). New York: Springer.
8. Thissen, D. (1991). MULTILOG user's guide: Multiple, categorical item analysis and test scoring using item response theory (Version 6.0) [Software manual]. Chicago: ScientificSoftware.