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Peer reviewedDyck, Walter; Plancke-Schuyten, Gilberte – Educational and Psychological Measurement, 1976
Previous knowledge of the difficulty index and the intercorrelations of the items will allow group results to be predicted and manipulated. A compound bionomial probability function of a testscore is established for which a computer program has been written. Three item selections and the appropriate probability distributions are given which give…
Descriptors: Computer Programs, Multiple Choice Tests, Prediction, Probability
PDF pending restorationCivil Service Commission, Washington, DC. Personnel Research and Development Center. – 1976
This pamphlet reprints three papers and an invited discussion of them, read at a Division 5 Symposium at the 1975 American Psychological Association Convention. The first paper describes a Bayesian tailored testing process and shows how it demonstrates the importance of using test items with high discrimination, low guessing probability, and a…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Oriented Programs, Computer Programs
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
Peer reviewedSkakun, Ernest N.; And Others – Educational and Psychological Measurement, 1979
Factor analysis was used to determine whether computerized patient management problems had the same factor structure as multiple choice examinations and rating scales. It was determined that the factor structure was similar to the examinations but not the rating scale. (JKS)
Descriptors: Comparative Testing, Computer Assisted Testing, Computer Programs, Factor Structure


