The logistic versions of Samejima’s (1969) graded response model and Muraki’s (1992) generalized partial-credit model are parameterized differently by MULTILOG (Thissen, 1991) and PARSCALE (Muraki & Bock, 1996). Procedures for obtaining comparable item parameter estimates from MULTILOG and PARSCALE are described and example command files are provided.
Get full access to this article
View all access options for this article.
References
1.
Birnbaum, A. (1968). Some latent trait models and their use in inferring an examinee’s ability. In F.M. Lord & M. R. Novick, Statistical theories of mental test scores(pp. 392–479). Reading MA: Addison-Wesley.
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.