Browsing by Author "Cudeck, Robert"
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Item Adaptive and conventional versions of the DAT: The first complete test battery comparison(1989) Henly, Susan J.; Klebe, Kelli J.; McBride, James R.; Cudeck, RobertA group of covariance structure models was examined to ascertain the similarity between conventionally administered and computerized adaptive (CAT) versions of the complete battery of the Differential Aptitude Tests (DAT). Two factor analysis models developed from classical test theory and three models with a multiplicative structure for these multitrait-multimethod data were developed and then fit to sample data in a double cross-validation design. All three direct-product models performed better than the factor analysis models in both calibration and cross-validation subsamples. The cross-validated, disattenuated correlation between the administration methods in the best-performing direct-product model was very high in both groups (.98 and .97), suggesting that the CAT version of the DAT is an adequate representation of the conventional test battery. However, some evidence suggested that there are substantial differences between the printed and computerized versions of the one speeded test in the battery. Index terms: adaptive tests, computerized adaptive testing, covariance structure, cross-validation, Differential Aptitude Tests, direct-product models, factor analysis, multitrait-multimethod matrices.Item Evaluation of implied orders as a basis for tailored testing with simulation data(1979) Cliff, Norman; Cudeck, Robert; McCormick, Douglas J.Monte carlo research with TAILOR, a program using Implied Orders as a basis for tailored testing, is reported. Birnbaum’s (1968) three-parameter logistic model was used to generate data matrices under a variety of simulated conditions. It was found that TAILOR typically required about half the available items to estimate for each simulated examinee the responses on the remainder. Validity of Tailored score with True score was found to be within a few points of True score with Complete test score. Increasing item discrimination affected the efficiency of the tailored test, but the procedure was little affected by any of a variety of other factors.Item Implied orders tailored testing: Simulation with the Stanford-Binet(1980) Cudeck, Robert; McCormick, Douglas J.; Cliff, NormanTailored testing by Cliff’s (1975) method of implied orders was simulated through the use of responses gathered during conventional administration of the Stanford-Binet intelligence test. Tailoring eliminated approximately half the responses with only modest decreases in score reliability. Responses in tailored tests were shown by the Spearman- Brown prophecy formula to be equivalent to from 1.09 to 1.48 conventional items. Ninety-five percent of all responses implied by the tailoring procedures were identical to responses actually obtained during live testing.Item Monte Carlo evaluation of implied orders as a basis for tailored testing(1979) Cudeck, Robert; McCormick, Douglas J.; Cliff, NormanTAILOR, the computer program which implements an approach to tailored testing outlined by Cliff (1975), was examined with errorless data by monte carlo methods. Three replications of each cell of a 3 × 3 table with 10, 20, and 40 items and persons were analyzed. Mean rank correlation coefficients between the true person and item order, specified by preassigned random numbers, and the computed order produced by the program averaged .96. The average proportion of items used was .48. A marked tendency was observed for the program to produce better results as the number of persons and items increased.