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Zhu, Mu; Lu, Arthur Y. – Journal of Statistics Education, 2004
In Bayesian statistics, the choice of the prior distribution is often controversial. Different rules for selecting priors have been suggested in the literature, which, sometimes, produce priors that are difficult for the students to understand intuitively. In this article, we use a simple heuristic to illustrate to the students the rather…
Descriptors: Bayesian Statistics, Maximum Likelihood Statistics, Probability, Statistical Distributions
Linn, Shai – Journal of Statistics Education, 2004
Courses in clinical epidemiology usually include acquainting students with a single 2X2 table. All diagnostic test characteristics are explained using this table. This pedagogic approach may be misleading. A new didactic approach is hereby proposed, using two tables, each with specific analogous notations (uppercase and lowercase) and derived…
Descriptors: Epidemiology, Diagnostic Tests, Bayesian Statistics, Prediction
Dagne, Getachew A.; Brown, C. Hendricks; Howe, George W. – Journal of Educational and Behavioral Statistics, 2003
Intervention studies often rely on microcoded data of social interactions to provide evidence of change due to development or treatment. Traditionally these data have been collapsed into small contingency tables. Such an approach can introduce spurious findings. Instead of treating each unit's contingency table independently, or collapsing the…
Descriptors: Statistical Analysis, Bayesian Statistics, Intervention, Unemployment
Seghieri, Chiara; Desantis, Gustavo; Tanturri, Maria Letizia – Social Indicators Research, 2006
This study analyses the relationship between subjective and objective measures of well-being in selected European countries using the data of the European Community Household Panel (ECHP). In the first part of the paper, we develop a random-effect ordered probit model, separately for each country, relating the subjective measure of income…
Descriptors: Measures (Individuals), Foreign Countries, Models, Income
Garcia, Patricio; Amandi, Analia; Schiaffino, Silvia; Campo, Marcelo – Computers & Education, 2007
Students are characterized by different learning styles, focusing on different types of information and processing this information in different ways. One of the desirable characteristics of a Web-based education system is that all the students can learn despite their different learning styles. To achieve this goal we have to detect how students…
Descriptors: Student Behavior, Internet, Web Based Instruction, Artificial Intelligence
van Barneveld, Christina – Applied Psychological Measurement, 2007
The purpose of this study is to examine the effects of a false assumption regarding the motivation of examinees on test construction. Simulated data were generated using two models of item responses (the three-parameter logistic item response model alone and in combination with Wise's examinee persistence model) and were calibrated using a…
Descriptors: Test Construction, Item Response Theory, Models, Bayesian Statistics
Griffiths, Thomas L.; Kalish, Michael L. – Cognitive Science, 2007
Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that language themselves. We analyze the consequences of iterated learning for learning algorithms based on the principles of Bayesian inference, assuming that learners compute…
Descriptors: Probability, Diachronic Linguistics, Statistical Inference, Language Universals
McDermott, Paul A.; Fantuzzo, John W.; Waterman, Clare; Angelo, Lauren E.; Warley, Heather P.; Gadsden, Vivian L.; Zhang, Xiuyuan – Journal of School Psychology, 2009
Educators need accurate assessments of preschool cognitive growth to guide curriculum design, evaluation, and timely modification of their instructional programs. But available tests do not provide content breadth or growth sensitivity over brief intervals. This article details evidence for a multiform, multiscale test criterion-referenced to…
Descriptors: Listening Comprehension, Curriculum Design, Intervals, Disadvantaged Youth
Bijedic, Nina; Slanjankic, Emir; Praso, Murat – Online Submission, 2007
This paper presents the effects of curriculum changes for course on Mathematics at Faculty of Information Technologies, University "Dzemal Bijedic", Mostar, BIH. Changes were introduced during Fall Semester 2006/7. They are aiming to improve knowledge deliverance and examination process. Effect of changes was measured by comparing actual results…
Descriptors: Curriculum Development, Academic Achievement, Information Technology, Effect Size
Kim, Seock-Ho – Educational and Psychological Measurement, 2007
The procedures required to obtain the approximate posterior standard deviations of the parameters in the three commonly used item response models for dichotomous items are described and used to generate values for some common situations. The results were compared with those obtained from maximum likelihood estimation. It is shown that the use of…
Descriptors: Item Response Theory, Computation, Comparative Analysis, Evaluation Methods
Braun, Henry I. – 1988
Empirical Bayes (EB) methods are frequently used on hierarchical linear models in practice. This paper provides an overview of parametric EB methods with special emphasis on their application in data-analytic settings. Eight different models with different levels of complexity are described. Comparisons of performance with other methods are…
Descriptors: Bayesian Statistics, College Students, Data Analysis, Higher Education
Peer reviewedGreenwald, Anthony G. – Journal of Experimental Social Psychology, 1975
The data of B. D. Layton and B. Turnbull's (1974) two extra sensory perception (ESP) experiments are used to illustrate Bayesian hypothesis tests that provide more useful information than is obtained from significance tests. (Editor)
Descriptors: Bayesian Statistics, Flow Charts, Psychological Studies, Social Psychology
Berry, Donald A. – 1989
The use of a Bayesian approach in evaluating data from clinical trials with many treatment centers and from many studies is discussed. The main distinction between a metaanalysis and an analysis of a multicenter trial is that different studies may have very different designs, while the centers in a multicenter trial usually follow the same…
Descriptors: Bayesian Statistics, Drug Use, Mathematical Models, Meta Analysis
PDF pending restorationQuan, Baldwin; And Others – 1984
This program listing is a supplement to the Microcomputer Network for Computerized Adaptive Testing (CAT). The driver textfile program allows access to major subprograms of the CAT project. The test administration textfile program gives examinees a prescribed set of subtests. The parameter management textfile program establishes a file containing…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Computer Software
Peer reviewedLewis, Charles; And Others – Psychometrika, 1975
A Bayesian Model II approach to the estimation of proportions in m groups is extended to obtain posterior marginal distributions for the proportions. The approach is extended to allow greater use of prior information than previously and the specification of this prior information is discussed. (Author/RC)
Descriptors: Bayesian Statistics, Data Analysis, Individualized Instruction, Models

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