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Rupp, Andre A.; Dey, Dipak K.; Zumbo, Bruno D. – Structural Equation Modeling, 2004
This article presents relevant research on Bayesian methods and their major applications to modeling in an effort to lay out differences between the frequentist and Bayesian paradigms and to look at the practical implications of these differences. Before research is reviewed, basic tenets and methods of the Bayesian approach to modeling are…
Descriptors: Psychometrics, Bayesian Statistics, Models, Comparative Analysis
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Nelson, Jonathan D. – Psychological Review, 2007
Reports an error in "Finding Useful Questions: On Bayesian Diagnosticity, Probability, Impact, and Information Gain" by Jonathan D. Nelson (Psychological Review, 2005[Oct], Vol 112[4], 979-999). In Table 13, the data should indicate that 7% of females had short hair and 93% of females had long hair. The calculations and discussion in the article…
Descriptors: Probability, Females, Norms, Bayesian Statistics
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Dagne, Getachew A.; Brown, C. Hendricks; Howe, George W. – Psychological Methods, 2007
This article presents new methods for modeling the strength of association between multiple behaviors in a behavioral sequence, particularly those involving substantively important interaction patterns. Modeling and identifying such interaction patterns becomes more complex when behaviors are assigned to more than two categories, as is the case…
Descriptors: Interaction, Bayesian Statistics, Models, Behavior Patterns
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Rouder, Jeffrey N.; Lu, Jun; Sun, Dongchu; Speckman, Paul; Morey, Richard; Naveh-Benjamin, Moshe – Psychometrika, 2007
The theory of signal detection is convenient for measuring mnemonic ability in recognition memory paradigms. In these paradigms, randomly selected participants are asked to study randomly selected items. In practice, researchers aggregate data across items or participants or both. The signal detection model is nonlinear; consequently, analysis…
Descriptors: Simulation, Recognition (Psychology), Computation, Mnemonics
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Fidalgo, Angel M.; Hashimoto, Kanako; Bartram, Dave; Muniz, Jose – Journal of Experimental Education, 2007
In this study, the authors assess several strategies created on the basis of the Mantel-Haenszel (MH) procedure for conducting differential item functioning (DIF) analysis with small samples. One of the analytical strategies is a loss function (LF) that uses empirical Bayes Mantel-Haenszel estimators, whereas the other strategies use the classical…
Descriptors: Bayesian Statistics, Test Bias, Statistical Analysis, Sample Size
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Griffiths, Thomas L.; Tenenbaum, Joshua B. – Cognition, 2007
People's reactions to coincidences are often cited as an illustration of the irrationality of human reasoning about chance. We argue that coincidences may be better understood in terms of rational statistical inference, based on their functional role in processes of causal discovery and theory revision. We present a formal definition of…
Descriptors: Probability, Statistical Inference, Bayesian Statistics, Theories
Blessing, Charlotte; Rayner, Elise; Kreutzer, Kim – Forum on Education Abroad, 2010
In October/November 2009, the Forum on Education Abroad conducted its third State of the Field Survey. This survey provides an annual or biannual assessment of key education abroad issues and topics of interest to Forum members and the field of education abroad at large. Previous State of the Field surveys were conducted in 2006 and 2008. The 2009…
Descriptors: Educational Quality, International Education, Program Costs, Higher Education
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Keim, Marybelle C.; Murray, John P. – Community College Review, 2008
The impending retirements of many community college leaders creates a need to better understand who the chief academic officers (CAOs) are and the paths they followed to become CAOs. Nonetheless, researchers have paid relatively little attention to this important leadership position. To address this gap in the literature, the authors undertook a…
Descriptors: Community Colleges, Deans, Educational Background, Trend Analysis
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Dunsmore, Kate; Lagos, Taso G. – Learning, Media and Technology, 2008
Research on the lack of civic and political engagement on the part of today's youth has relied on traditional, often quantitative, measures of political knowledge that may miss important elements of the process. Using an ethnographic approach with a group of inner-city high school students, our study reveals a richer construction of students'…
Descriptors: Political Socialization, Citizenship Education, Political Issues, Citizen Participation
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Klein Entink, Rinke H.; Kuhn, Jorg-Tobias; Hornke, Lutz F.; Fox, Jean-Paul – Psychological Methods, 2009
In current psychological research, the analysis of data from computer-based assessments or experiments is often confined to accuracy scores. Response times, although being an important source of additional information, are either neglected or analyzed separately. In this article, a new model is developed that allows the simultaneous analysis of…
Descriptors: Psychological Studies, Monte Carlo Methods, Markov Processes, Educational Assessment
Martuza, Victor R.; Engel, John D. – 1974
Results from classical power analysis (Brewer, 1972) suggest that a researcher should not set a=p (when p is less than a) in a posteriori fashion when a study yields statistically significant results because of a resulting decrease in power. The purpose of the present report is to use Bayesian theory in examining the validity of this…
Descriptors: Bayesian Statistics, Hypothesis Testing, Power (Statistics), Validity
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Singh, R. S. – Journal of Multivariate Analysis, 1976
A class of estimators which are asymptotically unbiased and mean square consistent are exhibited. Theorems giving necessary and sufficient conditions for uniform asymptotic unbiasedness and for mean square consistency are presented along with applications of the estimator to certain statistical problems. (Author/RC)
Descriptors: Bayesian Statistics, Nonparametric Statistics, Probability, Statistical Bias
Seltzer, Michael; Choi, Kilchan; Thum, Yeow Meng – 2002
In intervention studies, it is important to assess whether one program might be more effective for individuals with extreme initial difficulties, while another might be more effective for individuals with less extreme initial difficulties. In setting in which time-series data are obtained for each person, this entails examining interactions…
Descriptors: Bayesian Statistics, Data Analysis, Estimation (Mathematics), Intervention
Tague, Jean M. – Information Storage and Retrieval, 1973
A probabilistic model for interactive retrieval is presented. Bayesian statistical decision theory principles are applied: use of prior and sample information about the relationship of document descriptions to query relevance; maximization of expected value of a utility function, to the problem of optimally restructuring search strategies in an…
Descriptors: Bayesian Statistics, Information Retrieval, Mathematical Models, Probability
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Chen, James J.; Novick, Melvin K. – Journal of Educational Statistics, 1982
A least squares statistical procedure for fitting utility functions is extended to truncated normal and extended beta functions. Implications for educational decision-making are discussed. (JKS)
Descriptors: Bayesian Statistics, Least Squares Statistics, Probability, Selection
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