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Hamdan, M. A. – Journal of Experimental Education, 1979
The distribution theory underlying corrections for guessing is analyzed, and the probability distributions of the random variables are derived. The correction in grade, based on random guessing of unknown answers, is compared with corrections based on educated guessing. (Author/MH)
Descriptors: Guessing (Tests), Maximum Likelihood Statistics, Multiple Choice Tests, Probability
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Koch, William R.; Dodd, Barbara G. – Applied Measurement in Education, 1989
Various aspects of the computerized adaptive testing (CAT) procedure for partial credit scoring were manipulated, focusing on the effects of the manipulations on operational characteristics of the CAT. The effects of item-pool size, item-pool information, and stepsizes used along the trait continuum were assessed. (TJH)
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Banks, Maximum Likelihood Statistics
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Wilcox, Rand R. – Educational and Psychological Measurement, 1980
Technical problems in achievement testing associated with using latent structure models to estimate the probability of guessing correct responses by examinees is studied; also the lack of problems associated with using Wilcox's formula score. Maximum likelihood estimates are derived which may be applied when items are hierarchically related.…
Descriptors: Guessing (Tests), Item Analysis, Mathematical Models, Maximum Likelihood Statistics
Wilcox, Rand R. – 1978
A mastery test is frequently described as follows: an examinee responds to n dichotomously scored test items. Depending upon the examinee's observed (number correct) score, a mastery decision is made and the examinee is advanced to the next level of instruction. Otherwise, a nonmastery decision is made and the examinee is given remedial work. This…
Descriptors: Comparative Analysis, Cutting Scores, Factor Analysis, Mastery Tests
Levine, Michael V. – 1984
Formula score theory (FST) associates each multiple choice test with a linear operator and expresses all of the real functions of item response theory as linear combinations of the operator's eigenfunctions. Hard measurement problems can then often be reformulated as easier, standard mathematical problems. For example, the problem of estimating…
Descriptors: Cognitive Ability, Estimation (Mathematics), Latent Trait Theory, Maximum Likelihood Statistics
Tatsuoka, Kikumi – 1980
This paper presents a new method for estimating a given latent trait variable by the least-squares approach. The beta weights are obtained recursively with the help of Fourier series and expressed as functions of item parameters of response curves. The values of the latent trait variable estimated by this method and by maximum likelihood method…
Descriptors: Computer Assisted Testing, Error of Measurement, Higher Education, Latent Trait Theory
Maurelli, Vincent A.; Weiss, David J. – 1981
A monte carlo simulation was conducted to assess the effects in an adaptive testing strategy for test batteries of varying subtest order, subtest termination criterion, and variable versus fixed entry on the psychometric properties of an existent achievement test battery. Comparisons were made among conventionally administered tests and adaptive…
Descriptors: Achievement Tests, Adaptive Testing, Computer Assisted Testing, Latent Trait Theory
Warm, Thomas A. – 1978
This primer is an introduction to item response theory (also called item characteristic curve theory, or latent trait theory) as it is used most commonly--for scoring multiple choice achievement or aptitude tests. Written for the testing practitioner with minimum training in statistics and psychometrics, it presents and illustrates the basic…
Descriptors: Ability Identification, Achievement Tests, Adaptive Testing, Aptitude Tests