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Aydogdu, Seyhmus – Turkish Online Journal of Distance Education, 2020
The purpose of this research is a comprehensive review of studies towards educational data mining (EDM) in Turkey. For the purpose of this study, graduate theses and articles conducted in Turkey were examined in detail. As a result of the literature review, 48 studies were analyzed in the context of the data mining purpose, the technique used in…
Descriptors: Foreign Countries, Information Retrieval, Data Analysis, Academic Achievement
Blaine, Bruce Evan – Scholarship and Practice of Undergraduate Research, 2019
Reproducibility crises have arisen in psychology and other behavioral sciences, spurring efforts to ensure research findings are credible and replicable. Although reforms are occurring at professional levels in terms of new publication parameters and open science initiatives, the credibility and reproducibility of undergraduate research deserves…
Descriptors: Undergraduate Students, Student Research, Behavioral Science Research, Research Methodology
Beath, Ken J. – Research Synthesis Methods, 2014
When performing a meta-analysis unexplained variation above that predicted by within study variation is usually modeled by a random effect. However, in some cases, this is not sufficient to explain all the variation because of outlier or unusual studies. A previously described method is to define an outlier as a study requiring a higher random…
Descriptors: Mixed Methods Research, Robustness (Statistics), Meta Analysis, Prediction
Anderson, Richard B.; Doherty, Michael E.; Friedrich, Jeff C. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2008
In 4 studies, the authors examined the hypothesis that the structure of the informational environment makes small samples more informative than large ones for drawing inferences about population correlations. The specific purpose of the studies was to test predictions arising from the signal detection simulations of R. B. Anderson, M. E. Doherty,…
Descriptors: Simulation, Statistical Analysis, Inferences, Population Trends
Campbell, David P. – J Counseling Psychol, 1969
Descriptors: Classification, Criteria, Prediction, Predictive Validity

Kleinke, David J. – Educational and Psychological Measurement, 1972
Descriptors: Analysis of Variance, Comparative Analysis, Norms, Prediction

Van Acker, Richard; And Others – Journal of Special Education Technology, 1991
Twelve trained observers were randomly assigned to one of two methods of data collection in scoring teacher-student interactions. Results indicated no overall difference in observer accuracy between momentary time sampling and continuous data collection when scoring behaviors that differed along the dimensions of frequency and predictability.…
Descriptors: Classroom Communication, Classroom Observation Techniques, Data Collection, Interaction
Gottfredson, Stephen D.; Moriarty, Laura J. – Crime & Delinquency, 2006
Statistically based risk assessment devices are widely used in criminal justice settings. Their promise remains largely unfulfilled, however, because assumptions and premises requisite to their development and application are routinely ignored and/or violated. This article provides a brief review of the most salient of these assumptions and…
Descriptors: Risk, Justice, Criminals, Crime
Howell-White, Sandra; Gaboda, Dorothy; Rosato, Nancy Scotto; Lucas, Judith A. – Gerontologist, 2006
Purpose: This research provides state policy makers and others interested in developing needs-based reimbursement models for Medicaid-funded assisted living with an evaluation of different methodologies that affect the structure and outcomes of these models. Design and Methods: We used assessment data from Medicaid-enrolled assisted living…
Descriptors: Models, Statistical Analysis, Individual Characteristics, Health Services
Caulkins, Jonathan P. – Journal of Policy Analysis and Management, 2002
In this article, the author discusses the use in policy analysis of models that incorporate uncertainty. He believes that all models should consider incorporating uncertainty, but that at the same time it is important to understand that sampling variability is not usually the dominant driver of uncertainty in policy analyses. He also argues that…
Descriptors: Statistical Inference, Models, Policy Analysis, Sampling