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PDF pending restorationDavis, Charles E.; And Others – 1973
A coherent system of decision making is described that may be incorporated into an instructional sequence to provide a supplement to the experience-based judgment of the classroom teacher. The elements of this decision process incorporate prior information such as a teacher's past experience, experimental results such as a test score, and…
Descriptors: Bayesian Statistics, Cutting Scores, Decision Making, Logic
Epstein, Kenneth I. – 1975
Since the primary purpose of classical testing is to rank order examinees consistently, the absolute value of the true score has been relatively unimportant. However, the major purpose of criterion referenced testing is to estimate the true capabilities of examinees to perform specific tasks. Hence, the problems of true score determination assume…
Descriptors: Bayesian Statistics, Criterion Referenced Tests, Mathematical Models, Military Personnel
McArthur, David; Chou, Chih-Ping – 1984
Diagnostic testing confronts several challenges at once, among which are issues of test interpretation and immediate modification of the test itself in response to the interpretation. Several methods are available for administering and evaluating a test in real-time, towards optimizing the examiner's chances of isolating a persistent pattern of…
Descriptors: Academic Ability, Adaptive Testing, Bayesian Statistics, Diagnostic Tests
Kane, Michael T.; Brennan, Robert L. – 1977
A large number of seemingly diverse coefficients have been proposed as indices of dependability, or reliability, for domain-referenced and/or mastery tests. In this paper, it is shown that most of these indices are special cases of two generalized indices of agreement: one that is corrected for chance, and one that is not. The special cases of…
Descriptors: Bayesian Statistics, Correlation, Criterion Referenced Tests, Cutting Scores
Besel, Ronald – 1971
The assumptions of the Criterion-Referenced Test (CRT) model proposed by Kriewall are compared to those of Emrick and Adam's Mastery-Learning (ML) model. Testing, in the context of instructional management, serves three general purposes: performance evaluation (achievement of objectives), placement (classification of students for instruction), and…
Descriptors: Bayesian Statistics, Comparative Analysis, Criterion Referenced Tests, Cutting Scores
Steinheiser, Frederick, Jr. – 1975
Summarizing work which is part of an Army research program on Methodological Issues in the Construction of Criterion Referenced Tests, the focus of this paper is on a Bayesian model, which gives the probability of correctly classifying an examiner as a master or as a nonmaster while taking into consideration the test length and the mastery cut-off…
Descriptors: Ability, Achievement, Bayesian Statistics, Classification
Peer reviewedTsutakawa, Robert K.; Johnson, Jane C. – Psychometrika, 1990
The conventional method of measuring ability--based on items with assumed true parameter values obtained from a pretest--is compared to a Bayesian method that deals with the uncertainties of such items. Data from a 1987 American College Testing Program mathematics test indicate that maximum likelihood/Bayesian techniques underestimate uncertainty.…
Descriptors: Ability Identification, Bayesian Statistics, College Entrance Examinations, Comparative Analysis
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
Weiss, David J., Ed. – 1977
This symposium consists of five papers and presents some recent developments in adaptive testing which have applications to several military testing problems. The overview, by James R. McBride, defines adaptive testing and discusses some of its item selection and scoring strategies. Item response theory, or item characteristic curve theory, is…
Descriptors: Ability, Achievement Tests, Adaptive Testing, Bayesian Statistics


