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Parshall, 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
Wang, Tianyou; Kolen, Michael J. – 1994
In this paper a quadratic curve equating method for different test forms under a random-group data-collection design is proposed. Procedures for implementing this method and related issues are described and discussed. The quadratic-curve method was evaluated with real test data (from two 30-item subtests for a professional licensure examination…
Descriptors: Comparative Analysis, Data Collection, Equated Scores, Goodness of Fit