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Bogan, Evelyn Doody; Yen, Wendy M. – 1983
Four multidimensional data configurations and one unidimensional data configuration were simulated for three differences in mean difficulty between two tests to be equated. Two chi-square statistics, Q1 and Q2, were examined for their ability to detect multidimensionality. Results indicated that Q1 did not discriminate between any of the…
Descriptors: Difficulty Level, Equated Scores, Goodness of Fit, Latent Trait Theory
Weitzman, R. A. – 1982
The goal of this research was to predict from a recruit's responses to the Armed Services Vocational Aptitude Battery (ASVAB) items whether the recruit would pass the Armed Forces Qualification Test (AFQT). The data consisted of the responses (correct/incorrect) of 1,020 Navy recruits to 200 items of the ASVAB together with the scores of these…
Descriptors: Adults, Armed Forces, Computer Oriented Programs, Computer Simulation
Download full textHambleton, Ronald K.; Cook, Linda L. – 1978
The purpose of the present research was to study, systematically, the "goodness-of-fit" of the one-, two-, and three-parameter logistic models. We studied, using computer-simulated test data, the effects of four variables: variation in item discrimination parameters, the average value of the pseudo-chance level parameters, test length,…
Descriptors: Career Development, Difficulty Level, Goodness of Fit, Item Analysis
