Publication Date
| In 2026 | 0 |
| Since 2025 | 45 |
| Since 2022 (last 5 years) | 348 |
| Since 2017 (last 10 years) | 814 |
| Since 2007 (last 20 years) | 1607 |
Descriptor
Source
Author
Publication Type
Education Level
Location
| Australia | 31 |
| Germany | 20 |
| United Kingdom (England) | 18 |
| United States | 18 |
| Canada | 17 |
| Netherlands | 17 |
| United Kingdom | 14 |
| California | 12 |
| Spain | 12 |
| North Carolina | 11 |
| China | 10 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 4 |
| Individuals with Disabilities… | 2 |
| Aid to Families with… | 1 |
| Elementary and Secondary… | 1 |
| Elementary and Secondary… | 1 |
| Every Student Succeeds Act… | 1 |
| Individuals with Disabilities… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards with or without Reservations | 2 |
| Does not meet standards | 1 |
PDF pending restorationvan der Linden, Wim J.; Eggen, Theo J. H. M. – 1986
A procedure for the sequential optimization of the calibration of an item bank is given. The procedure is based on an empirical Bayes approach to a reformulation of the Rasch model as a model for paired comparisons between the difficulties of test items in which ties are allowed to occur. First, it is indicated how a paired-comparisons design…
Descriptors: Bayesian Statistics, Foreign Countries, Item Banks, Latent Trait Theory
Leonard, Tom; Novick, Melvin R. – 1985
This proposal attempts to follow in Allan Birnbaum's tradition by using Bayesian ideas to show that his mental test model possesses even broader applicability than previously realized. Birnbaum's two significant contributions to the theories of statistics and educational testing are: (1) the proof that the sufficiency and conditionality principles…
Descriptors: Bayesian Statistics, Cognitive Measurement, Estimation (Mathematics), Latent Trait Theory
Lord, Frederic M. – 1984
There are currently three main approaches to parameter estimation in item response theory (IRT): (1) joint maximum likelihood, exemplified by LOGIST, yielding maximum likelihood estimates; (2) marginal maximum likelihood, exemplified by BILOG, yielding maximum likelihood estimates of item parameters (ability parameters can be estimated…
Descriptors: Bayesian Statistics, Comparative Analysis, Estimation (Mathematics), Latent Trait Theory
Tsutakawa, Robert K.; Lin, Hsin Ying – 1984
Item response curves for a set of binary responses are studied from a Bayesian viewpoint of estimating the item parameters. For the two-parameter logistic model with normally distributed ability, restricted bivariate beta priors are used to illustrate the computation of the posterior mode via the EM algorithm. The procedure is illustrated by data…
Descriptors: Algorithms, Bayesian Statistics, College Entrance Examinations, Estimation (Mathematics)
Barclay, Scott; And Others – 1977
Decision analysis is a quantitative method that permits the systematic evaluation of the costs or benefits accruing to courses of action that might be taken in a decision problem. It entails identification of the alternative choices involved, the assignment of values (costs/benefits) for possible outcomes, and the expression of the probability of…
Descriptors: Administrators, Bayesian Statistics, Case Studies, Cost Effectiveness
Chechile, Richard; Butler, Keith – Journal of Verbal Learning and Verbal Behavior, 1975
A Bayesian statistical procedure separating storage from retrieval was used to study development and release of proactive interference in the Brown-Peterson paradigm. A theory of PI is developed stressing response competition at test time and interference in transfer between short- and long-term memory. (CHK)
Descriptors: Bayesian Statistics, Cognitive Processes, Hypothesis Testing, Inhibition
Wilcox, Rand R. – 1980
Concern about passing those examinees who should pass, and retaining those who need remedial work, is one problem related to criterion-referenced testing. This paper deals with one aspect of that problem. When determining how many items to include on a criterion-referenced test, practitioners must resolve various non-statistical issues before a…
Descriptors: Bayesian Statistics, Criterion Referenced Tests, Latent Trait Theory, Mathematical Models
PDF pending restorationHuynh, Huynh – 1979
A general framework for making mastery/nonmastery decisions based on multivariate test data is described in this study. Over all, mastery is granted (or denied) if the posterior expected loss associated with such action is smaller than the one incurred by the denial (or grant) of mastery. An explicit form for the cutting contour which separates…
Descriptors: Bayesian Statistics, Cutting Scores, Error of Measurement, Mastery Tests
Thorndike, Robert L. – 1980
In an invitational address to the Victorian Institute of Educational Research, the author discussed Bayesian theory and its relationship to the design and construction of tailored or adaptive tests. Bayesian thinking involves recognizing the role of prior probabilities and using these probabilities in combination with new data to arrive at future…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Error of Measurement
Forsyth, Donelson R.; Pope, William R. – 1980
If overattribution--the tendency for observers to think actors' attitudes match their behaviors even when behaviors are not freely performed--results from the fundamental attribution error, then observers must believe the coerced behavior is attributionally informative. This assumption was tested by (1) investigating the extent to which attitude…
Descriptors: Attitude Measures, Attribution Theory, Bayesian Statistics, Cognitive Processes
Sympson, James B. – 1976
Latent trait test score theory is discussed primarily in terms of Birnbaum's three-parameter logistic model, and with some reference to the Rasch model. Equations and graphic illustrations are given for item characteristic curves and item information curves. An example is given for a hypothetical 20-item adaptive test, showing cumulative results…
Descriptors: Adaptive Testing, Bayesian Statistics, Item Analysis, Latent Trait Theory
Lindley, Dennis V. – 1972
This paper discusses Bayesian m-group regression where the groups are arranged in a two-way layout into m rows and n columns, there still being a regression of y on the x's within each group. The mathematical model is then provided as applied to the case where the rows correspond to high schools and the columns to colleges: the predictor variables…
Descriptors: Bayesian Statistics, Mathematical Applications, Mathematical Models, Multiple Regression Analysis
Peer reviewedRobertson, S. E. – Journal of Documentation, 1986
A Bayesian argument is used to suggest modifications to the Robertson and Jones relevance weighting formula to accommodate the addition to the query of terms taken from the relevant documents identified during the search. (Author)
Descriptors: Bayesian Statistics, Information Retrieval, Mathematical Formulas, Online Systems
Peer reviewedAlemi, Farrokh – Evaluation Review, 1987
Trade-offs are implicit in choosing a subjective or objective method for evaluating social programs. The differences between Bayesian and traditional statistics, decision and cost-benefit analysis, and anthropological and traditional case systems illustrate trade-offs in choosing methods because of limited resources. (SLD)
Descriptors: Bayesian Statistics, Case Studies, Evaluation Methods, Program Evaluation
Peer reviewedHirsh, Hannah Rothstein; And Others – Personnel Psychology, 1986
Applied Schmidt-Hunter interactive validity generalization procedure to validity data for cognitive abilities tests for law enforcement occupations. Results indicated apparently lower validities and lesser generalizability for job criteria possibly due to low validity of the criterion and potential role of noncognitive factors. (Author/ABB)
Descriptors: Bayesian Statistics, Cognitive Tests, Generalizability Theory, Law Enforcement


