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Simonson, Michael, Ed. – Association for Educational Communications and Technology, 2015
For the thirty-eighth time, the Research and Theory Division of the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Indianapolis, Indiana. The Proceedings of AECT's Convention are published in two…
Descriptors: Information Technology, Educational Technology, Student Attitudes, Online Courses
Peer reviewedJones, W. Paul – Measurement and Evaluation in Counseling and Development, 1993
Investigated model for reducing time for administration of Myers-Briggs Type Indicator (MBTI) using real-data simulation of Bayesian scaling in computerized adaptive administration. Findings from simulation study using data from 127 undergraduates are strongly supportive of use of Bayesian scaled computerized adaptive administration of MBTI.…
Descriptors: Bayesian Statistics, Classification, College Students, Computer Assisted Testing
Peer reviewedAlbert, James H. – Journal of Educational Statistics, 1994
Analysis of a two-way sample of means is considered when corresponding population means are believed a priori to satisfy a partial order restriction. Simulation and the Gibbs sampler are used to summarize posterior distributions, and the posterior distribution is used to predict GPAs of first-year students at University of Iowa. (SLD)
Descriptors: Academic Achievement, Bayesian Statistics, College Entrance Examinations, College Freshmen
Spray, Judith A.; Reckase, Mark D. – 1994
The issue of test-item selection in support of decision making in adaptive testing is considered. The number of items needed to make a decision is compared for two approaches: selecting items from an item pool that are most informative at the decision point or selecting items that are most informative at the examinee's ability level. The first…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing


