Publication Date
| In 2026 | 0 |
| Since 2025 | 4 |
| Since 2022 (last 5 years) | 82 |
| Since 2017 (last 10 years) | 215 |
| Since 2007 (last 20 years) | 512 |
Descriptor
| Bayesian Statistics | 606 |
| Models | 606 |
| Computation | 131 |
| Item Response Theory | 120 |
| Probability | 120 |
| Simulation | 110 |
| Comparative Analysis | 101 |
| Prediction | 96 |
| Statistical Analysis | 94 |
| Monte Carlo Methods | 91 |
| Markov Processes | 80 |
| More ▼ | |
Source
Author
| Tenenbaum, Joshua B. | 10 |
| Griffiths, Thomas L. | 9 |
| Lee, Michael D. | 8 |
| Levy, Roy | 7 |
| Mislevy, Robert J. | 7 |
| Sinharay, Sandip | 7 |
| Wagenmakers, Eric-Jan | 7 |
| Zhang, Zhiyong | 6 |
| Zhiyong Zhang | 6 |
| Almond, Russell G. | 5 |
| Huang, Hung-Yu | 5 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 11 |
| Administrators | 1 |
| Practitioners | 1 |
| Students | 1 |
| Teachers | 1 |
Location
| Massachusetts | 5 |
| Pennsylvania | 5 |
| Spain | 5 |
| Australia | 4 |
| Brazil | 4 |
| Netherlands | 4 |
| Taiwan | 4 |
| Europe | 3 |
| Germany | 3 |
| North Carolina | 3 |
| California | 2 |
| More ▼ | |
Laws, Policies, & Programs
| Elementary and Secondary… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Seong, Somi; Popper, Steven W.; Goldman, Charles A.; Evans, David K. – RAND Corporation, 2008
In the late 1990s, the Korea Ministry of Education and Human Resources, in response to concern over the relatively low standing of the nation's universities and researchers, launched the Brain Korea 21 program BK21). BK21 seeks to make Korean research universities globally competitive and to produce more high-quality researchers in Korea. It…
Descriptors: Higher Education, Database Design, Research Universities, Program Evaluation
Longford, Nicholas T. – 1991
Operational procedures for the Graduate Record Examinations Validity Study Service are reviewed, with emphasis on the problem of frequent occurrence of negative coefficients in the fitted within-department regressions obtained by the empirical Bayes method of H. I. Braun and D. Jones (1985). Several alterations of the operational procedures are…
Descriptors: Bayesian Statistics, College Entrance Examinations, Estimation (Mathematics), Goodness of Fit
Mason, William M.; Entwisle, Barbara – 1982
The real problems of contextual analysis concern the conceptualization of contextual effects, the kinds of data with which to estimate them, and the selection and implementation of appropriate statistical techniques. This paper focuses on detection; specifically, an approach to contextual analysis based on the estimation and interpretation of a…
Descriptors: Bayesian Statistics, Birth Rate, Demography, Estimation (Mathematics)
Moskowitz, Herbert – 1973
This paper discusses MacCrimmon's general theoretical framework for collective decisions, reveals the modeling for collective decisions, and presents selected descriptive research in the general area of collective decisionmaking. The intent is to stimulate research or provide insight that could have practical implications for management…
Descriptors: Bayesian Statistics, Behavior Theories, Game Theory, Management Information Systems
Peer reviewedKantor, Paul B. – Journal of the American Society for Information Science, 1987
Examines a statistical model in which the users of an online system continually update their estimated probability of success, and quit or continue the search according to the expected utility of each action. The implications for search strategies are discussed. (Author/EM)
Descriptors: Bayesian Statistics, Behavior Patterns, Models, Online Searching
Peer reviewedHambleton, Ronald K.; Novick, Melvin R. – Journal of Educational Measurement, 1973
In this paper, an attempt has been made to synthesize some of the current thinking in the area of criterion-referenced testing as well as to provide the beginning of an integration of theory and method for such testing. (Editor)
Descriptors: Bayesian Statistics, Criterion Referenced Tests, Decision Making, Definitions
Xenos, Michalis – Computers and Education, 2004
This paper presents a methodological approach based on Bayesian Networks for modelling the behaviour of the students of a bachelor course in computers in an Open University that deploys distance educational methods. It describes the structure of the model, its application for modelling the behaviour of student groups in the Informatics Course of…
Descriptors: Prediction, Student Behavior, Open Education, Distance Education
Wooff, D. A.; Schneider, J. M. – Journal of Intellectual Disability Research, 2006
Background: "Supported" employment stipulates that disabled people should have real jobs for real pay. This paper models kinds of supported employment, assesses how the support and placement features affect its outcomes and its quality from the perspective of the employees, and provides a dynamic model to help explore what types of interventions…
Descriptors: Employees, Mental Retardation, Quality Control, Disabilities
Levy, Roy; Mislevy, Robert J. – US Department of Education, 2004
The challenges of modeling students' performance in simulation-based assessments include accounting for multiple aspects of knowledge and skill that arise in different situations and the conditional dependencies among multiple aspects of performance in a complex assessment. This paper describes a Bayesian approach to modeling and estimating…
Descriptors: Probability, Markov Processes, Monte Carlo Methods, Bayesian Statistics
Peer reviewedTanner, C. Kenneth – Educational Planning, 1973
Discusses eight computer assisted planning models that are amenable to the improvement of decisionmaking; explains the feasibility of involving systems analysis and operations research in educational decisions; and suggests a minimal program designed to prepare educational planners with knowledge of computer assisted planning models. (Author/JF)
Descriptors: Bayesian Statistics, Computer Graphics, Computer Oriented Programs, Cost Effectiveness
Peer reviewedBosworth, K.; Gingiss, P. M.; Potthoff, S.; Roberts-Gray, C. – Evaluation and Program Planning, 1999
Describes the development and testing of a model to help schools assess their likelihood of successfully implementing health education innovations. Illustrates the model, developed using an integrative group-process technique that captures experts' qualitative and quantitative judgments as a subjective Bayesian probability model, with 100…
Descriptors: Ancillary School Services, Bayesian Statistics, Elementary Secondary Education, Health Education
van Barneveld, Christina – Alberta Journal of Educational Research, 2003
The purpose of this study was to examine the potential effect of false assumptions regarding the motivation of examinees on item calibration and test construction. A simulation study was conducted using data generated by means of several models of examinee item response behaviors (the three-parameter logistic model alone and in combination with…
Descriptors: Simulation, Motivation, Computation, Test Construction
Lenk, Peter; Wedel, Michel; Bockenholt, Ulf – Psychometrika, 2006
This paper presents a hierarchical Bayes circumplex model for ordinal ratings data. The circumplex model was proposed to represent the circular ordering of items in psychological testing by imposing inequalities on the correlations of the items. We provide a specification of the circumplex, propose identifying constraints and conjugate priors for…
Descriptors: Bayesian Statistics, Models, Psychological Testing, Correlation
Seltzer, Michael; Kim, Jinok – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2007
Individual differences in response to a given treatment have been a longstanding interest in education. While many evaluation studies focus on average treatment effects (i.e., the effects of treatments on the levels of outcomes of interest), this paper additionally considers estimating the effects of treatments on the dispersion in outcomes.…
Descriptors: Individual Characteristics, Mathematics Instruction, Inferences, Conventional Instruction
Baron, Joan – 1977
The philosophy and assumptions of the Multi-Attribute Utility-Bayesian Decision Theoretic model (MAUT-Bayesian model) are presented. The evaluator uses the MAUT-Bayesian model along with the knowledge of the decision-maker's, and perhaps the evaluator's own values to decide what data should be collected. Appropriate data are presented to the…
Descriptors: Bayesian Statistics, Data Collection, Decision Making, Evaluation Methods

Direct link
