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Hambleton, Ronald K.; Swaminathan, H. – 1985
Comments are made on the review papers presented by six Dutch psychometricians: Ivo Molenaar, Wim van der Linden, Ed Roskam, Arnold Van den Wollenberg, Gideon Mellenbergh, and Dato de Gruijter. Molenaar has embraced a pragmatic viewpoint on Bayesian methods, using both empirical and pure approaches to solve educational research problems. Molenaar…
Descriptors: Bayesian Statistics, Decision Making, Elementary Secondary Education, Foreign Countries
Murray, Linda N.; Hambleton, Ronald K. – 1983
The purpose of this research study was to assess item response model-test data fit using residuals. First, a comparison of raw and standardized residuals for describing model-test data fit was carried out. Second, hypotheses concerning the relationship between residual sizes and several item characteristics were studied. The analyses with…
Descriptors: Educational Assessment, Goodness of Fit, Item Analysis, Latent Trait Theory
Hambleton, Ronald K.; Rogers, H. Jane – 1986
The general goal of this paper is to help researchers conduct appropriately designed goodness of fit studies for item response model applications. The specific purposes are to describe: (1) an up-to-date set of promising and useful methods for addressing a variety of goodness of fit questions; and (2) current research studies to advance this set…
Descriptors: Data Analysis, Educational Research, Factor Analysis, Goodness of Fit
Rogers, H. Jane; Hambleton, Ronald K. – 1987
Though item bias statistics are widely recommended for use in test development and analysis, problems arise in their interpretation. This research evaluates logistic test models and computer simulation methods for providing a frame of reference for interpreting item bias statistics. Specifically, the intent was to produce simulated sampling…
Descriptors: Computer Simulation, Cutting Scores, Grade 9, Latent Trait Theory
Hambleton, Ronald K.; And Others – 1987
The study compared two promising item response theory (IRT) item-selection methods, optimal and content-optimal, with two non-IRT item selection methods, random and classical, for use in fixed-length certification exams. The four methods were used to construct 20-item exams from a pool of approximately 250 items taken from a 1985 certification…
Descriptors: Comparative Analysis, Content Validity, Cutting Scores, Difficulty Level