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What Works Clearinghouse Rating
What Works Clearinghouse, 2020
The What Works Clearinghouse (WWC) is an initiative of the U.S. Department of Education's Institute of Education Sciences (IES), which was established under the Education Sciences Reform Act of 2002. It is an important part of IES's strategy to use rigorous and relevant research, evaluation, and statistics to improve the nation's education system.…
Descriptors: Educational Research, Evaluation Methods, Evidence, Statistical Significance
Steiner, Peter M.; Wong, Vivian – Society for Research on Educational Effectiveness, 2016
Despite recent emphasis on the use of randomized control trials (RCTs) for evaluating education interventions, in most areas of education research, observational methods remain the dominant approach for assessing program effects. Over the last three decades, the within-study comparison (WSC) design has emerged as a method for evaluating the…
Descriptors: Randomized Controlled Trials, Comparative Analysis, Research Design, Evaluation Methods
What Works Clearinghouse, 2017
The What Works Clearinghouse (WWC) systematic review process is the basis of many of its products, enabling the WWC to use consistent, objective, and transparent standards and procedures in its reviews, while also ensuring comprehensive coverage of the relevant literature. The WWC systematic review process consists of five steps: (1) Developing…
Descriptors: Educational Research, Evaluation Methods, Evidence, Statistical Significance
Cook, David A.; Hatala, Rose – Advances in Health Sciences Education, 2015
Many education research studies employ small samples, which in turn lowers statistical power. We re-analyzed the results of a meta-analysis of simulation-based education to determine study power across a range of effect sizes, and the smallest effect that could be plausibly excluded. We systematically searched multiple databases through May 2011,…
Descriptors: Educational Research, Comparative Analysis, Sample Size, Meta Analysis
Kurt, Mehmet; Bilginer, Hayriye – Online Submission, 2016
In the globalizing world economy, for the realization of international trade is increasing the need for foreign language learning. TR63 (Kahramanmaras, Osmaniye and Hatay) region is increasing its export every day. Besides these advances, interest is awakening in foreign language education among the region. In preparing syllabus for this kind of…
Descriptors: Cognitive Style, Second Language Learning, Foreign Countries, Geographic Regions
Dunst, Carl J.; Hamby, Deborah W. – Journal of Intellectual & Developmental Disability, 2012
This paper includes a nontechnical description of methods for calculating effect sizes in intellectual and developmental disability studies. Different hypothetical studies are used to illustrate how null hypothesis significance testing (NHST) and effect size findings can result in quite different outcomes and therefore conflicting results. Whereas…
Descriptors: Intervals, Developmental Disabilities, Statistical Significance, Effect Size
What Works Clearinghouse, 2014
This "What Works Clearinghouse Procedures and Standards Handbook (Version 3.0)" provides a detailed description of the standards and procedures of the What Works Clearinghouse (WWC). The remaining chapters of this Handbook are organized to take the reader through the basic steps that the WWC uses to develop a review protocol, identify…
Descriptors: Educational Research, Guides, Intervention, Classification
Moses, Tim; Miao, Jing; Dorans, Neil – Educational Testing Service, 2010
This study compared the accuracies of four differential item functioning (DIF) estimation methods, where each method makes use of only one of the following: raw data, logistic regression, loglinear models, or kernel smoothing. The major focus was on the estimation strategies' potential for estimating score-level, conditional DIF. A secondary focus…
Descriptors: Test Bias, Statistical Analysis, Computation, Scores
Fan, Xitao; Nowell, Dana L. – Gifted Child Quarterly, 2011
This methodological brief introduces the readers to the propensity score matching method, which can be used for enhancing the validity of causal inferences in research situations involving nonexperimental design or observational research, or in situations where the benefits of an experimental design are not fully realized because of reasons beyond…
Descriptors: Research Design, Educational Research, Statistical Analysis, Inferences
Adedokun, Omolola A.; Childress, Amy L.; Burgess, Wilella D. – American Journal of Evaluation, 2011
A theory-driven approach to evaluation (TDE) emphasizes the development and empirical testing of conceptual models to understand the processes and mechanisms through which programs achieve their intended goals. However, most reported applications of TDE are limited to large-scale experimental/quasi-experimental program evaluation designs. Very few…
Descriptors: Feedback (Response), Program Evaluation, Structural Equation Models, Testing
Vul, Edward; Harris, Christine; Winkielman, Piotr; Pashler, Harold – Online Submission, 2009
We are grateful to the commentators for providing many stimulating and valuable observations. The main point of our article was to call attention to the overestimation of individual differences correlations in a subset of neuroimaging papers. To structure our discussion of these comments, we list the main points from our paper, note where…
Descriptors: Social Cognition, Individual Differences, Psychological Patterns, Correlation
Cox, Devonda Kaye – ProQuest LLC, 2010
This study reviewed the effects of change, fatigue and transformation of low-performing schools while implementing an instructional Design rather than an instructional program. The study investigated the relationship of the America's Choice, Inc. schools with the configuration of the grades 6-8 scores compared to the scores of the state average…
Descriptors: School Effectiveness, Low Achievement, Grade 6, Grade 7
Strang, Kenneth David – Practical Assessment, Research & Evaluation, 2009
This paper discusses how a seldom-used statistical procedure, recursive regression (RR), can numerically and graphically illustrate data-driven nonlinear relationships and interaction of variables. This routine falls into the family of exploratory techniques, yet a few interesting features make it a valuable compliment to factor analysis and…
Descriptors: Multicultural Education, Computer Software, Multiple Regression Analysis, Multidimensional Scaling
Wang, Shudong; Jiao, Hong; Young, Michael J.; Brooks, Thomas; Olson, John – Educational and Psychological Measurement, 2008
In recent years, computer-based testing (CBT) has grown in popularity, is increasingly being implemented across the United States, and will likely become the primary mode for delivering tests in the future. Although CBT offers many advantages over traditional paper-and-pencil testing, assessment experts, researchers, practitioners, and users have…
Descriptors: Elementary Secondary Education, Reading Achievement, Computer Assisted Testing, Comparative Analysis
Peer reviewedWilcox, Rand R. – Multivariate Behavioral Research, 1995
Five methods for testing the hypothesis of independence between two sets of variates were compared through simulation. Results indicate that two new methods, based on robust measures reflecting the linear association between two random variables, provide reasonably accurate control over Type I errors. Drawbacks to rank-based methods are discussed.…
Descriptors: Analysis of Covariance, Comparative Analysis, Hypothesis Testing, Robustness (Statistics)
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