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Download full textParshall, Cynthia G.; Kromrey, Jeffrey D.; Chason, Walter M. – 1996
The benefits of item response theory (IRT) will only accrue to a testing program to the extent that model assumptions are met. Obtaining accurate item parameter estimates is a critical first step. However, the sample sizes required for stable parameter estimation are often difficult to obtain in practice, particularly for the more complex models.…
Descriptors: Comparative Analysis, Estimation (Mathematics), Item Response Theory, Models
Pommerich, Mary; Hanson, Bradley A.; Harris, Deborah J.; Sconing, James A. – 1999
This paper focuses on methodological issues in applying equipercentile equating methods to pairs of tests that do not meet the assumptions of equating. This situation is referred to as a concordance situation, as opposed to an equating situation, and the end result is a concordance table that gives "comparable" scores between the tests.…
Descriptors: College Entrance Examinations, Comparative Analysis, Equated Scores, Error of Measurement
