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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
Corlu, M. Sencer; Capraro, Robert M.; Corlu, M. Ali – Turkish Online Journal of Educational Technology - TOJET, 2011
Students need to achieve automaticity in learning mathematics without sacrificing conceptual understanding of the algorithms that are essential in being successful in algebra and problem solving, as well as in science. This research investigated the relationship between science-contextualized problems and computational fluency by testing an…
Descriptors: Foreign Countries, Statistical Significance, Scores, High School Students
Konstantopoulos, Spyros – Journal of Experimental Education, 2010
Previous work on statistical power has discussed mainly single-level designs or 2-level balanced designs with random effects. Although balanced experiments are common, in practice balance cannot always be achieved. Work on class size is one example of unbalanced designs. This study provides methods for power analysis in 2-level unbalanced designs…
Descriptors: Class Size, Computers, Statistical Analysis, Experiments
Puma, Michael J.; Olsen, Robert B.; Bell, Stephen H.; Price, Cristofer – National Center for Education Evaluation and Regional Assistance, 2009
This NCEE Technical Methods report examines how to address the problem of missing data in the analysis of data in Randomized Controlled Trials (RCTs) of educational interventions, with a particular focus on the common educational situation in which groups of students such as entire classrooms or schools are randomized. Missing outcome data are a…
Descriptors: Educational Research, Research Design, Research Methodology, Control Groups
Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2009
This paper examines the estimation of two-stage clustered RCT designs in education research using the Neyman causal inference framework that underlies experiments. The key distinction between the considered causal models is whether potential treatment and control group outcomes are considered to be fixed for the study population (the…
Descriptors: Control Groups, Causal Models, Statistical Significance, Computation
Tienken, Christopher H.; Maher, James A. – RMLE Online: Research in Middle Level Education, 2008
The issue of lower than expected mathematics achievement is a concern to education leaders and policymakers at all levels of the U.S. PK-12 education system. The purpose of this quantitative, quasi-experimental study was to determine if there was a measurable difference in achievement on the mathematics section of the state test for students (n =…
Descriptors: Control Groups, Mathematics Curriculum, Mathematics Achievement, Academic Achievement

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