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Peer reviewedHarwell, Michael R.; Baker, Frank B. – Applied Psychological Measurement, 1991
Previous work on the mathematical and implementation details of the marginalized maximum likelihood estimation procedure is extended to encompass the marginalized Bayesian procedure for estimating item parameters of R. J. Mislevy (1986) and to communicate this procedure to users of the BILOG computer program. (SLD)
Descriptors: Bayesian Statistics, Equations (Mathematics), Estimation (Mathematics), Item Response Theory
Peer reviewedVerguts, Tom; De Boeck, Paul – Applied Psychological Measurement, 2000
Developed an extension of the Rasch model from a Bayesian point of view and used the model to study whether learning occurred throughout a computer-administered intelligence test. Results from 137 college students indicate that learning did occur and that there might be individual differences in learning rate. (SLD)
Descriptors: Bayesian Statistics, College Students, Computer Assisted Testing, Higher Education
Darvin, Jacqueline – Journal of Adolescent & Adult Literacy, 2006
This article discusses situated cognition research and its impact on literacy studies concepts and instruction. It provides a brief historical comparison of cognitive psychology and situated cognition and emphasizes the importance of understanding the complex relationships that exist between learners, the settings in which they engage in cognitive…
Descriptors: Teaching Methods, Literacy, Cognitive Psychology, Cognitive Processes
Levy, Roy; Mislevy, Robert J. – International Journal of Testing, 2004
The challenges of modeling students' performance in computer-based interactive assessments include accounting for multiple aspects of knowledge and skill that arise in different situations and the conditional dependencies among multiple aspects of performance. This article describes a Bayesian approach to modeling and estimating cognitive models…
Descriptors: Computer Assisted Testing, Markov Processes, Computer Networks, Bayesian Statistics
Gresham, Frank M.; McIntyre, Laura Lee; Olson-Tinker, Heidi; Dolstra, Lisa; McLaughlin, Veronica; Van, Mai – Research in Developmental Disabilities: A Multidisciplinary Journal, 2004
The Individuals With Disabilities Education Act (IDEA) Amendments of 1997 mandate the use of functional behavioral assessment (FBA) and positive behavioral supports and interventions for students with disabilities. Although much progress has been made in our understanding of functional analysis over the past 15 years, the extent to which these…
Descriptors: Attitudes toward Disabilities, Functional Behavioral Assessment, Developmental Disabilities, Intervention
Revuelta, Javier – Psychometrika, 2004
Two psychometric models are presented for evaluating the difficulty of the distractors in multiple-choice items. They are based on the criterion of rising distractor selection ratios, which facilitates interpretation of the subject and item parameters. Statistical inferential tools are developed in a Bayesian framework: modal a posteriori…
Descriptors: Multiple Choice Tests, Psychometrics, Models, Difficulty Level
Segawa, Eisuke – Journal of Educational and Behavioral Statistics, 2005
Multi-indicator growth models were formulated as special three-level hierarchical generalized linear models to analyze growth of a trait latent variable measured by ordinal items. Items are nested within a time-point, and time-points are nested within subject. These models are special because they include factor analytic structure. This model can…
Descriptors: Bayesian Statistics, Mathematical Models, Factor Analysis, Computer Simulation
Penfield, Randall D. – Applied Measurement in Education, 2006
This study applied the maximum expected information (MEI) and the maximum posterior-weighted information (MPI) approaches of computer adaptive testing item selection to the case of a test using polytomous items following the partial credit model. The MEI and MPI approaches are described. A simulation study compared the efficiency of ability…
Descriptors: Bayesian Statistics, Adaptive Testing, Computer Assisted Testing, Test Items
Webb, Thomas L.; Sheeran, Paschal – Psychological Bulletin, 2006
Numerous theories in social and health psychology assume that intentions cause behaviors. However, most tests of the intention- behavior relation involve correlational studies that preclude causal inferences. In order to determine whether changes in behavioral intention engender behavior change, participants should be assigned randomly to a…
Descriptors: Behavior Modification, Behavior Change, Meta Analysis, Bayesian Statistics
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
Alberta Advanced Education and Technology, 2008
In November of 2007, Alberta Advanced Education and Technology contracted Insightrix Research, Inc. to conduct a survey of individuals who graduated from post-secondary institutions in Alberta in the fall of 2005 or the spring of 2006 (excluding apprenticeship graduates, who are surveyed through a separate initiative). The purpose of the survey is…
Descriptors: Higher Education, Foreign Countries, College Outcomes Assessment, Graduate Surveys
Zwick, Rebecca – 1995
This paper describes a study, now in progress, of new methods for representing the sampling variability of Mantel-Haenszel differential item functioning (DIF) results, based on the system for categorizing the severity of DIF that is now in place at the Educational Testing Service. The methods, which involve a Bayesian elaboration of procedures…
Descriptors: Adaptive Testing, Bayesian Statistics, Classification, Computer Assisted Testing
Jo, See-Heyon – 1995
The question of how to analyze unbalanced hierarchical data generated from structural equation models has been a common problem for researchers and analysts. Among difficulties plaguing statistical modeling are estimation bias due to measurement error and the estimation of the effects of the individual's hierarchical social milieu. This paper…
Descriptors: Algorithms, Bayesian Statistics, Equations (Mathematics), Error of Measurement
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
Phillips, Gary W.; Adcock, Eugene P. – 1997
Because public schools do not randomly assign students and teachers across schools (a methodological utopia), multilevel evaluation methods which account for student and school contextual and practice variables in their natural settings provide the most rigorous means for showing empirically what is actually happening in school classrooms.…
Descriptors: Academic Achievement, Bayesian Statistics, Educational Assessment, Elementary Secondary Education

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