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Applied Psychological Measurement
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Monte Carlo Evaluation of Implied Orders As a Basis for Tailored Testing

Robert Cudeck

University of Southern California

Douglas McCormick

University of Southern California

Norman Cliff

University of Southern California

TAILOR, the computer program which imple ments 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 x 3 table with 10, 20, and 40 items and persons were analyzed. Mean rank correlation coef ficients 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.

Applied Psychological Measurement, Vol. 3, No. 1, 65-74 (1979)
DOI: 10.1177/014662167900300108
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This article has been cited by other articles:


Home page
 Applied Psychological MeasurementHome page
R. Cudeck, D. J. McCormick, and N. Cliff
Implied Orders Tailored Testing: Simulation with the Stanford-Binet
Applied Psychological Measurement, April 1, 1980; 4(2): 157 - 163.
[Abstract]

Home page
 Applied Psychological MeasurementHome page
N. Cliff, R. Cudeck, and D. J. McCormick
Evaluation of Implied Orders as a Basis for Tailored Testing with Simulation Data
Applied Psychological Measurement, October 1, 1979; 3(4): 495 - 514.
[Abstract]