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Deke, John; Finucane, Mariel; Thal, Daniel – National Center for Education Evaluation and Regional Assistance, 2022
BASIE is a framework for interpreting impact estimates from evaluations. It is an alternative to null hypothesis significance testing. This guide walks researchers through the key steps of applying BASIE, including selecting prior evidence, reporting impact estimates, interpreting impact estimates, and conducting sensitivity analyses. The guide…
Descriptors: Bayesian Statistics, Educational Research, Data Interpretation, Hypothesis Testing
Chiu, Chia-Yi; Köhn, Hans-Friedrich; Wu, Huey-Min – International Journal of Testing, 2016
The Reduced Reparameterized Unified Model (Reduced RUM) is a diagnostic classification model for educational assessment that has received considerable attention among psychometricians. However, the computational options for researchers and practitioners who wish to use the Reduced RUM in their work, but do not feel comfortable writing their own…
Descriptors: Educational Diagnosis, Classification, Models, Educational Assessment
Jarosz, Andrew F.; Wiley, Jennifer – Journal of Problem Solving, 2014
The purpose of this paper is to provide an easy template for the inclusion of the Bayes factor in reporting experimental results, particularly as a recommendation for articles in the "Journal of Problem Solving." The Bayes factor provides information with a similar purpose to the "p"-value--to allow the researcher to make…
Descriptors: Problem Solving, Bayesian Statistics, Statistical Inference, Computation
Miller, Edward M. – Personnel, 1980
In general, candidates selected for employment will probably perform worse than estimated. Bayesian statistical methods may be useful in adjusting the estimates. (Author)
Descriptors: Bayesian Statistics, Decision Making, Personnel Selection, Statistical Analysis

Saar, Shalom Saada – Educational Evaluation and Policy Analysis, 1980
The Multiattribute Utility Model combines subjective goal definition with objective data analysis. Goals are defined, ranked, and weighted. Subjective opinions about their attainment are assigned against decision alternatives considered by the school. Bayesian analysis of data enables revision of prior opinions about the realization of goals…
Descriptors: Bayesian Statistics, Decision Making, Educational Objectives, Evaluation Methods

Schwartz, Steven; Dalgleish, Len – Journal of Research in Personality, 1982
Statistical significance is not a sufficient condition for claiming a hypothesis has been supported. Constructive replications are more important. Statistically significant results may be meaningless while a sequence of nonsignificant results may be quite important. Gives advice on how to overcome some limitations of classifical statistical…
Descriptors: Bayesian Statistics, Data Analysis, Personality Studies, Research Methodology
Mislevy, Robert J.; Stocking, Martha L. – 1987
Since its release in 1976, LOGIST has been the most widely used computer program for estimating the parameters of the three-parameter logistic item response model developed by A. Birnbaum. An alternative program, BILOG, developed by R. J. Mislevy and R. D. Bock (1983), has recently become available. This paper compares the approaches taken by the…
Descriptors: Bayesian Statistics, Comparative Analysis, Computer Software, Estimation (Mathematics)

Arkes, Hal R. – Journal of Consulting and Clinical Psychology, 1981
Five impediments to accurate clinical judgment are discussed: inability to assess covariation, influence of preconceived notions, lack of awareness of one's judgmental processes, overconfidence, and hindsight bias. Presents three strategies to minimize impediments' effects: considera- tion of alternative outcomes, increased attention to data, and…
Descriptors: Analysis of Covariance, Bayesian Statistics, Bias, Clinical Diagnosis

Conquest, Loveday L. – Environmental Monitoring and Assessment, 1993
Presents two statistical topics and examples of their use in natural resource monitoring. The first topic deals with use of correlated observations in calculations of variance estimates for a regional mean, required sample size determination, and confidence intervals. The second topic concerns the use of Bayesian techniques in hypothesis testing.…
Descriptors: Bayesian Statistics, Environmental Education, Environmental Research, Evaluation Methods