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Cicchetti, Domenic V.; And Others – Educational and Psychological Measurement, 1978
This program computes specific category agreement levels for both nominally and ordinally scaled data. For ordinally scaled data, an option is available for collapsing the original scale to a smaller number of categories, with the goal of improving the level of interrater reliability for the rating scale. (Author)
Descriptors: Attitude Measures, Computer Programs, Measurement Techniques, Rating Scales
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Morris, 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
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Wackerly, D. D.; Robinson, D. H. – Psychometrika, 1983
A statistical method for testing the agreement between a judge's assessment of an object or subject and a known standard is developed and shown to be superior to two other methods which appear in the literature. (Author/JKS)
Descriptors: Algorithms, Computer Programs, Judges, Measurement Techniques
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Aiken, Lewis R. – Educational and Psychological Measurement, 1980
Procedures for computing content validity and consistency reliability coefficients and determining the statistical significance of these coefficients are described. Procedures employing the multinomial probability distribution for small samples and normal curve probability estimates for large samples, can be used where judgments are made on…
Descriptors: Computer Programs, Measurement Techniques, Probability, Questionnaires
Shuford, Emir H., Jr.; Brown, Thomas A. – 1974
A student's choice of an answer to a test question is a coarse measure of his knowledge about the subject matter of the question. Much finer measurement might be achieved if the student were asked to estimate, for each possible answer, the probability that it is the correct one. Such a procedure could yield two classes of benefits: (a) students…
Descriptors: Bias, Computer Programs, Confidence Testing, Decision Making
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
Werts, Charles E.; Linn, Robert L. – 1975
Forming a sequence covering the various aspects of the simplex model, four articles are presented here under the following titles: "A Simplex Model for Analyzing Academic Growth", "Analyzing Ratings With Correlated Intrajudge Measurement Errors", "The Correlation of States With Gain", and "The Reliability of…
Descriptors: Academic Achievement, Achievement Gains, Analysis of Covariance, College Students