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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
Reckase, Mark D.; Ackerman, Terry A. – 1986
This paper demonstrates the relationship between the concept of unidimensionality and direction of an item in a multidimensional space. The basic premise is that if items that measure in the same direction are combined to form a test, that test will meet the item response theory requirements of unidimensionality. This will be true even if the…
Descriptors: Achievement Tests, College Entrance Examinations, Estimation (Mathematics), Goodness of Fit
