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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
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
Auberry, Kathy; Cullen, Deborah – Journal of Intellectual Disabilities, 2016
Based on the results of the Surrogate Decision-Making Self Efficacy Scale (Lopez, 2009a), this study sought to determine whether nurses working in the field of intellectual disability (ID) experience increased confidence when they implemented the American Association of Neuroscience Nurses (AANN) Seizure Algorithm during telephone triage. The…
Descriptors: Program Implementation, Evidence Based Practice, Seizures, Computation
Gillespie, Amy; Graham, Steve – Exceptional Children, 2014
In this meta-analysis, the impact of writing interventions on the quality of writing produced by students with learning disabilities (LD) was assessed. Ancestral and electronic searches were used to locate experimental, quasi-experimental, and within-subjects design studies with participants in Grades 1-12 with documented LD. The effects of…
Descriptors: Meta Analysis, Intervention, Writing Instruction, Learning Disabilities
Bloom, Howard S.; Michalopoulos, Charles – MDRC, 2010
This paper examines strategies for interpreting and reporting estimates of intervention effects for subgroups of a study sample. Specifically, the paper considers: why and how subgroup findings are important for applied research, the importance of pre-specifying sub- groups before analyses are conducted, the importance of using existing theory and…
Descriptors: Groups, Intervention, Statistical Significance, Hypothesis Testing
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
What Works Clearinghouse, 2008
This handbook describes the structure and processes that the What Works Clearinghouse (WWC) uses for its reviews, presenting in one place all the standards the WWC currently uses to assess research. The handbook will be revised as new standards are developed and major new features are finalized. A distinguishing feature of the WWC is that it does…
Descriptors: Guides, Standards, Educational Research, Evaluation
What Works Clearinghouse, 2011
With its critical assessments of scientific evidence on the effectiveness of education programs, policies, and practices (referred to as "interventions"), and a range of products summarizing this evidence, the What Works Clearinghouse (WWC) is an important part of the Institute of Education Sciences' strategy to use rigorous and relevant…
Descriptors: Standards, Access to Information, Information Management, Guides
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