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Cliff, Norman – Psychometrika, 1977
Measures of consistency and completeness of order relationships derived from test data such as Guttman scales are proposed. The measures are generalized to apply to incomplete data such as data from tailored testing. (Author/JKS)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Item Analysis

Cudeck, Robert A.; And Others – Educational and Psychological Measurement, 1977
TAILOR, a FORTRAN computer program for tailored testing, is described. The procedure for a joint ordering of persons and items with no pretesting as the basis for the tailored test is given, and a brief discussion of the computer program is included. (Author/JKS)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Test Construction

McCormick, Douglas J.; Cliff, Norman – Educational and Psychological Measurement, 1977
An interactive computer program for tailored testing, called TAILOR, is presented. The program runs on the APL system. A cumulative file for each examinee is established and tests are then tailored to each examinee; extensive pretesting is not necessary. (JKS)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Test Construction
Tailor-APL: An Interactive Computer Program for Individual Tailored Testing. Technical Report No. 5.
McCormick, Douglas J. – 1978
Tailored testing increases the efficiency of tests by individually selecting for each person a set of items from an item pool so that the difficulty of the items selected will be such as to maximize the information provided by the score. The tailored testing procedure designed by Cliff orders persons and items on a common ordinal scale and…
Descriptors: Adaptive Testing, Branching, Computer Assisted Testing, Computer Programs

Hamer, Robert; Young, Forrest W. – Educational and Psychological Measurement, 1978
TESTER, a computer program which produces individualized objective tests from a pool of items, is described. Available in both PL/1 and FORTRAN, TESTER may be executed either interactively or in batch. (Author/JKS)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Individualized Instruction
Lord, Frederic M. – 1971
Some stochastic approximation procedures are considered in relation to the problem of choosing a sequence of test questions to accurately estimate a given examinee's standing on a psychological dimension. Illustrations are given evaluating certain procedures in a specific context. (Author/CK)
Descriptors: Academic Ability, Adaptive Testing, Computer Programs, Difficulty Level
Urry, Vern W. – 1971
Bayesian estimation procedures are summarized and numerically illustrated by means of simulation methods. Procedures of data generation for simulation purposes are also delineated and computationally demonstrated. The logistic model basic to the Bayesian estimation procedures is shown to be explicit with respect to the probability distribution…
Descriptors: Achievement Tests, Adaptive Testing, Bayesian Statistics, Computer Programs
Gustafsson, Jan-Eric – 1977
The Rasch model for test analysis is described and compared with two-parameter and three-parameter latent-trait models. Conditional maximum likelihood equations for estimating item parameters are derived, and estimates of person parameters are described together with their confidence intervals. Goodness of fit tests are discussed, including a…
Descriptors: Adaptive Testing, Computer Programs, Equated Scores, Error of Measurement
Patience, Wayne M.; Reckase, Mark D. – 1979
Simulated tailored tests were used to investigate the relationships between characteristics of the item pool and the computer program, and the reliability and bias of the resulting ability estimates. The computer program was varied to provide for various step sizes (differences in difficulty between successive steps) and different acceptance…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Educational Testing
Hambleton, Ronald K.; And Others – 1977
Latent trait theory supposes that, in testing situations, examinee performance on a test can be predicted (or explained) by defining examinee characteristics, referred to as traits, estimating scores for examinees on these traits and using the scores to predict or explain test performance (Lord and Novick, 1968). In view of the breakthroughs in…
Descriptors: Adaptive Testing, Bayesian Statistics, Cognitive Measurement, Computer Programs