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Peer reviewedSmith, Jeffrey K. – Educational and Psychological Measurement, 1980
Weber contends that the use of Rasch analysis, principal components analysis, and classical test analysis shows that an instrument designed to measure a "bilevel dimensionality" in probability achievement measures a single latent trait. That interpretation and the use of Rasch and classical analysis to establish unidimensionality are…
Descriptors: Academic Achievement, Bayesian Statistics, Cognitive Processes, Item Analysis
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
Reckase, Mark D. – 1979
This paper describes two procedures for making binary classification decisions using tailored testing: the sequential probability ratio test (SPRT) and a Bayesian decision procedure. The first procedure described, the SPRT, was developed by Wald for quality control work. It has not been widely applied for testing applications because the…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Criterion Referenced Tests
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
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
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
Millman, Jason – 1974
This chapter should not only acquaint the reader with the present state of the art on Criterion-Referenced (CR) measurement but also suggest possible directions for further inquiry. The goal of the first part of this chapter is to deal with the definitional dilemma of CR measurement by proceeding from the more traditional view of CR measurement to…
Descriptors: Analysis of Variance, Bayesian Statistics, Behavioral Objectives, Comparative Analysis


