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Pfaffel, Andreas; Spiel, Christiane – Practical Assessment, Research & Evaluation, 2016
Approaches to correcting correlation coefficients for range restriction have been developed under the framework of large sample theory. The accuracy of missing data techniques for correcting correlation coefficients for range restriction has thus far only been investigated with relatively large samples. However, researchers and evaluators are…
Descriptors: Correlation, Sample Size, Error of Measurement, Accuracy
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Hadley, Pamela A.; Rispoli, Matthew; Holt, Janet K.; Fitzgerald, Colleen; Bahnsen, Alison – Journal of Speech, Language, and Hearing Research, 2014
Purpose: The authors of this study investigated the validity of tense and agreement productivity (TAP) scoring in diverse sentence frames obtained during conversational language sampling as an alternative measure of finiteness for use with young children. Method: Longitudinal language samples were used to model TAP growth from 21 to 30 months of…
Descriptors: Morphemes, Grammar, Sentences, Longitudinal Studies
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Gong, Yue; Beck, Joseph E.; Heffernan, Neil T. – International Journal of Artificial Intelligence in Education, 2011
Student modeling is a fundamental concept applicable to a variety of intelligent tutoring systems (ITS). However, there is not a lot of practical guidance on how to construct and train such models. This paper compares two approaches for student modeling, Knowledge Tracing (KT) and Performance Factors Analysis (PFA), by evaluating their predictive…
Descriptors: Intelligent Tutoring Systems, Factor Analysis, Performance Factors, Models
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Hirsh, Hannah Rothstein; And Others – Personnel Psychology, 1986
Applied Schmidt-Hunter interactive validity generalization procedure to validity data for cognitive abilities tests for law enforcement occupations. Results indicated apparently lower validities and lesser generalizability for job criteria possibly due to low validity of the criterion and potential role of noncognitive factors. (Author/ABB)
Descriptors: Bayesian Statistics, Cognitive Tests, Generalizability Theory, Law Enforcement
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Braun, Henry I.; Szatrowski, Ted H. – Journal of Educational Statistics, 1984
A universal criterion scale is applied to the direct estimation of validity for various groups of law school applicants and to the testing of the assumptions underlying the more familiar extrapolation methods. Data from American law schools are used to illustrate the procedures. (Author/BW)
Descriptors: Bayesian Statistics, College Entrance Examinations, Equated Scores, Grading
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Dunbar, Stephen B.; And Others – Journal of Educational Statistics, 1986
This paper considers the application of Bayesian techniques for simultaneous estimation to the specification of regression weights for selection tests used in various technical training courses in the Marine Corps. It concludes that a hypothesis of complete generalization of the predictor-criterion relationship would only be retained for selected…
Descriptors: Bayesian Statistics, Clerical Occupations, Electrical Occupations, Estimation (Mathematics)
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Braun, Henry I.; And Others – Psychometrika, 1983
Empirical Bayes methods are shown to provide a practical alternative to standard least squares methods in fitting high dimensional models to sparse data. An example concerning prediction bias in educational testing is presented as an illustration. (Author)
Descriptors: Bayesian Statistics, Educational Testing, Goodness of Fit, Mathematical Models
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Sahai, Hardeo; Reesal, Michael R. – School Science and Mathematics, 1992
Illustrates some applications of elementary probability and statistics to epidemiology, the branch of medical science that attempts to discover associations between events, patterns, and the cause of disease in human populations. Uses real-life examples involving cancer's link to smoking and the AIDS virus. (MDH)
Descriptors: Bayesian Statistics, Epidemiology, Integrated Activities, Mathematical Applications
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Zwick, Rebecca – Journal of Educational Statistics, 1993
A validity study with 5,219 students examined the degree to which Graduate Management Admission Test (GMAT) scores and undergraduate grade point average (GPA) could predict first-year average and final GPA in doctoral programs in business. The usefulness of the predictions derived from the empirical Bayes regression models is discussed. (SLD)
Descriptors: Administrator Education, Admission Criteria, Bayesian Statistics, Business Education