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Peer reviewedRindskopf, David – Psychometrika, 1983
Various models have been proposed for analyzing dichotomous test or questionnaire items which were constructed to reflect an assumed underlying structure (e.g., hierarchical). This paper shows that many such models are special cases of latent class analysis and discusses a currently available computer program to analyze them. (Author/JKS)
Descriptors: Computer Programs, Item Analysis, Mathematical Models, Measurement Techniques
Peer reviewedClopton, James R.; Neuringer, Charles – Educational and Psychological Measurement, 1977
A set of computer programs, which performs necessary item analysis and related procedures for developing new scales for the Minnesota Multiphasic Personality Inventory, is described. (Author/JKS)
Descriptors: Computer Assisted Testing, Computer Programs, Item Analysis, Measurement Techniques
Surkan, Alvin J.; Evans, Richard M. – 1979
Since fall 1976, an undergraduate measurement class has utilized a 32K microcomputer programmed in APL to present replicate sets of questions randomly selected from 80-question item pools representing each of three domains of knowledge based on Sax's Principles of Educational Measurement and Evaluation. Multiple choice questions are presented on a…
Descriptors: Computer Assisted Testing, Computer Programs, Higher Education, Item Analysis
Peer reviewedMorris, John D. – Educational and Psychological Measurement, 1978
Three algorithms for selecting a subset of originally available items, to maximize coefficient alpha, were compared on the size of the resulting alpha and computation time required with nine sets of data. The characteristics of a computer program to perform these item analyses are described. (Author/JKS)
Descriptors: Comparative Analysis, Computer Programs, Item Analysis, Measurement Techniques
Myerberg, N. James – 1975
The effect of stratified sampling of items on the estimation of test score distribution parameters by multiple matrix sampling was studied. Item difficulty and/or interitem correlations were the bases of stratification. Various item iniverses were created by computer simulation and sampled according to several plans. The results indicate that…
Descriptors: Computer Programs, Item Analysis, Item Sampling, Matrices
Davis, Richard W.; Loadman, William E. – 1973
A subject by item matrix of test responses is shown to be a useful heuristic in criterion referenced and norm referenced test analysis, and in the teaching of measurement. The pattern of responses within the matrix provides indications of item interactions, weak deceptors, and conventional test statistics. The strong visual analogy between the…
Descriptors: Computer Programs, Item Analysis, Item Sampling, Matrices
Easter, John; White, Mona – Thrust for Education Leadership, 1972
Article describes a new design for monitoring classroom achievement levels in operation at the Sequoia Union High School District, California. (MB)
Descriptors: Achievement Rating, Behavioral Objectives, Computer Programs, Feedback
Brigman, S. Leellen; Bashaw, W. L. – 1976
Procedures are presented for equating simultaneously several tests which have been calibrated by the Rasch Model. Three multiple test equating designs are described. A Full Matrix Design equates each test to all others. A Chain Design links tests sequentially. A Vector Design equates one test to each of the other tests. For each design, the Rasch…
Descriptors: Ability, Achievement Tests, Computer Programs, Equated Scores
Moonan, William J. – 1974
The purpose of this paper is to lay a basis for and discuss the components of a system, called COMET, designed to objectively measure and evaluate the competency of trainees in military training enterprises. COMET is an acronym for "Computerized Objective Measurement and Evaluation of Trainees." These goals will be accomplished by: (a)…
Descriptors: Computer Programs, Goodness of Fit, Item Analysis, Mathematical Models
Cliff, Norman; And Others – 1977
TAILOR is a computer program that uses the implied orders concept as the basis for computerized adaptive testing. The basic characteristics of TAILOR, which does not involve pretesting, are reviewed here and two studies of it are reported. One is a Monte Carlo simulation based on the four-parameter Birnbaum model and the other uses a matrix of…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Difficulty Level


