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Martin, John T.; And Others – 1983
A conventional verbal ability test and a Bayesian adaptive verbal ability test were compared using a variety of psychometric criteria. Tests were administered to 550 Marine recruits, half of whom received two 30-item alternate forms of a conventional test and half of whom received two 30-item alternate forms of a Bayesian adaptive test. Both types…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Individual Testing
DeAyala, R. J.; Koch, William R. – 1986
A computerized flexilevel test was implemented and its ability estimates were compared with those of a Bayesian estimation based computerized adaptive test (CAT) as well as with known true ability estimates. Results showed that when the flexilevel test was terminated according to Lord's criterion, its ability estimates were highly and…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Comparative Analysis
Buhr, Dianne C.; Algina, James – 1986
The focus of this study is on the estimation procedures implemented in BILOG, a computer program. One purpose is to compare the item parameter estimates produced by various procedures available in BILOG. Four different models are used: the one, two, and three parameter model and a three parameter model with common guessing parameters. The results…
Descriptors: Ability, Bayesian Statistics, Comparative Analysis, Computer Oriented Programs
Boldt, Robert F. – 1975
Least squares and Bayes methods were used in a cross validation study conducted for comparison purposes. The study applies to situations with the following conditions: predictor data are given on the same scales; criterion data may be given on different scales; and it is necessary to pool data even though criterion scale differences exist. Such a…
Descriptors: Bayesian Statistics, College Entrance Examinations, Grade Prediction, Graduate Study
Shields, W. S. – 1974
A procedure for predicting categorical outcomes using categorical predictor variables was described by Moonan. This paper describes a related technique which uses prior probabilities, updated by joint likelihoods, as classification criteria. The procedure differs from Moonan's in that the outcome having the greatest posterior probability is…
Descriptors: Bayesian Statistics, Behavioral Science Research, Classification, Higher Education
Novick, Melvin R. – 1973
This project is concerned with the development and implementation of some new statistical techniques that will facilitate a continuing input of information about the student to the instructional manager so that individualization of instruction can be managed effectively. The source of this informational input is typically a short…
Descriptors: Bayesian Statistics, Computer Oriented Programs, Computer Programs, Criterion Referenced Tests
Kaya, Osman Nafiz; Kilic, Ziya – Online Submission, 2004
Student-centered approach of scoring the concept maps consisted of three elements namely symbol system, individual portfolio and scoring scheme. We scored student-constructed concept maps based on 5 concept map criteria: validity of concepts, adequacy of propositions, significance of cross-links, relevancy of examples, and interconnectedness. With…
Descriptors: Concept Mapping, Validity, Prior Learning, Achievement Tests
Li, Yuan H.; Lissitz, Robert W. – Journal of Educational Measurement, 2004
The analytically derived asymptotic standard errors (SEs) of maximum likelihood (ML) item estimates can be approximated by a mathematical function without examinees' responses to test items, and the empirically determined SEs of marginal maximum likelihood estimation (MMLE)/Bayesian item estimates can be obtained when the same set of items is…
Descriptors: Test Items, Computation, Item Response Theory, Error of Measurement
Rock, Donald A. – ETS Research Report Series, 2007
This study addressed concerns about the potential for differential gains in reading during the first 2 years of formal schooling (K-1) versus the next 2 years of schooling (1st-3rd grade). A multilevel piecewise regression with a node at spring 1st grade was used in order to define separate regressions for the two time periods. Empirical Bayes…
Descriptors: Reading Achievement, Achievement Gains, Elementary School Students, Longitudinal Studies
Wainer, Howard; And Others – 1992
Four researchers at the Educational Testing Service describe what they consider some of the most vexing research problems they face. While these problems are not completely statistical, they all have major statistical components. Following the introduction (section 1), in section 2, "Problems with the Simultaneous Estimation of Many True…
Descriptors: Adaptive Testing, Bayesian Statistics, Educational Research, Estimation (Mathematics)
Sinharay, Sandip; Johnson, Matthew – ETS Research Report Series, 2005
"Item models" (LaDuca, Staples, Templeton, & Holzman, 1986) are classes from which it is possible to generate/produce items that are equivalent/isomorphic to other items from the same model (e.g., Bejar, 1996; Bejar, 2002). They have the potential to produce large number of high-quality items at reduced cost. This paper introduces…
Descriptors: Item Analysis, Test Items, Scoring, Psychometrics

Kingston, Neal M.; And Others – 1986
The Graduate Record Examinations (GRE) Validity Study Service (VSS) was developed by the Educational Testing Service at the request of the GRE Board to help graduate departments investigate the validity of their student selection procedures. The GRE VSS reports are aimed primarily at graduate department chairpersons and faculty members--those who…
Descriptors: Admission Criteria, Bayesian Statistics, College Entrance Examinations, Departments
Weiss, David J.; McBride, James R. – 1983
Monte Carlo simulation was used to investigate score bias and information characteristics of Owen's Bayesian adaptive testing strategy, and to examine possible causes of score bias. Factors investigated in three related studies included effects of item discrimination, effects of fixed vs. variable test length, and effects of an accurate prior…
Descriptors: Ability Identification, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
van der Linden, Wim J. – 1987
The use of Bayesian decision theory to solve problems in test-based decision making is discussed. Four basic decision problems are distinguished: (1) selection; (2) mastery; (3) placement; and (4) classification, the situation where each treatment has its own criterion. Each type of decision can be identified as a specific configuration of one or…
Descriptors: Bayesian Statistics, Classification, Decision Making, Foreign Countries
Hinkle, Dennis E.; Polhamus, Edward C. – 1980
Classical multiple regression was compared with Bayesian m-group regression, complete with cross-validation. The setting was a post-developmental studies situation in a comprehensive community college. A secondary purpose of the study was to incorporate an advisor prediction of grade point average (GPA) as input into both regression procedures.…
Descriptors: Bayesian Statistics, Community Colleges, Developmental Studies Programs, Grade Point Average