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Larry V. Hedges; William R. Shadish; Prathiba Natesan Batley – Grantee Submission, 2022
Currently the design standards for single case experimental designs (SCEDs) are based on validity considerations as prescribed by the What Works Clearinghouse. However, there is a need for design considerations such as power based on statistical analyses. We compute and derive power using computations for (AB)[superscript k] designs with multiple…
Descriptors: Statistical Analysis, Research Design, Computation, Case Studies
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What Works Clearinghouse, 2023
Teachers can use a variety of classroom management practices to help foster a classroom environment in which all students can learn. "Good Behavior Game" is a specific classroom management strategy that aims to improve social skills, minimize disruptive behaviors, and create a positive learning environment. Teachers place students into…
Descriptors: Classroom Techniques, Positive Behavior Supports, Intervention, Program Evaluation
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Chan, Wendy; Hedges, Larry V.; Hedberg, E. C. – Journal of Experimental Education, 2022
Many experimental designs in educational and behavioral research involve at least one level of clustering. Clustering affects the precision of estimators and its impact on statistics in cross-sectional studies is well known. Clustering also occurs in longitudinal designs where students that are initially grouped may be regrouped in the following…
Descriptors: Educational Research, Multivariate Analysis, Longitudinal Studies, Effect Size
Fingerhut, Joelle; Xunyun, Xu; Moeyaert, Mariola – Grantee Submission, 2021
A variety of measures have been developed to quantify intervention effects for single-case experimental design studies. Within the family of non-overlap indices, the Tau-U measure is one of the most popular indices. There are several Tau-U variants, each one calculated differently. The appropriateness of each Tau-U variant depends upon the data…
Descriptors: Case Studies, Research Design, Research Tools, Decision Making
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Wolf, Rebecca; Morrison, Jennifer; Inns, Amanda; Slavin, Robert; Risman, Kelsey – Journal of Research on Educational Effectiveness, 2020
Rigorous evidence of program effectiveness has become increasingly important with the 2015 passage of the Every Student Succeeds Act (ESSA). One question that has not yet been fully explored is whether program evaluations carried out or commissioned by developers produce larger effect sizes than evaluations conducted by independent third parties.…
Descriptors: Program Evaluation, Program Effectiveness, Effect Size, Sample Size
Kraft, Matthew A. – Annenberg Institute for School Reform at Brown University, 2019
Researchers commonly interpret effect sizes by applying benchmarks proposed by Cohen over a half century ago. However, effects that are small by Cohen's standards are large relative to the impacts of most field-based interventions. These benchmarks also fail to consider important differences in study features, program costs, and scalability. In…
Descriptors: Data Interpretation, Effect Size, Intervention, Benchmarking
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Manolov, Rumen; Guilera, Georgina; Solanas, Antonio – Remedial and Special Education, 2017
The current text comments on three systematic reviews published in the special section "Issues and Advances in the Systematic Review of Single-Case Research: An Update and Exemplars." The commentary is provided in relation to the need to combine the assessment of the methodological quality of the studies included in systematic reviews,…
Descriptors: Research Design, Meta Analysis, Research Methodology, Functional Behavioral Assessment
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Simpson, Adrian – Educational Research and Evaluation, 2018
Ainsworth et al.'s paper "Sources of Bias in Outcome Assessment in Randomised Controlled Trials: A Case Study" examines alternative accounts for a large difference in effect size between 2 outcomes in the same intervention evaluation. It argues that the probable explanation relates to masking: Only one outcome measure was administered by…
Descriptors: Statistical Bias, Randomized Controlled Trials, Effect Size, Outcome Measures
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Shadish, William R.; Hedges, Larry V.; Horner, Robert H.; Odom, Samuel L. – National Center for Education Research, 2015
The field of education is increasingly committed to adopting evidence-based practices. Although randomized experimental designs provide strong evidence of the causal effects of interventions, they are not always feasible. For example, depending upon the research question, it may be difficult for researchers to find the number of children necessary…
Descriptors: Effect Size, Case Studies, Research Design, Observation
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VanHoudnos, Nathan M.; Greenhouse, Joel B. – Journal of Educational and Behavioral Statistics, 2016
When cluster randomized experiments are analyzed as if units were independent, test statistics for treatment effects can be anticonservative. Hedges proposed a correction for such tests by scaling them to control their Type I error rate. This article generalizes the Hedges correction from a posttest-only experimental design to more common designs…
Descriptors: Statistical Analysis, Randomized Controlled Trials, Error of Measurement, Scaling
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Colby S. Hall – Educational Psychology Review, 2016
Skill in generating inferences predicts reading comprehension for students in the elementary and intermediate grades even after taking into account word reading, vocabulary knowledge, and cognitive ability (Cain et al., "Journal of Educational Psychology, 96," 671-81, 2004; Kendeou et al., "Journal of Research in Reading," 31,…
Descriptors: Inferences, Reading Instruction, Reading Difficulties, Reading Comprehension
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Gorard, Stephen – International Journal of Research & Method in Education, 2013
Experimental designs involving the randomization of cases to treatment and control groups are powerful and under-used in many areas of social science and social policy. This paper reminds readers of the pre-and post-test, and the post-test only, designs, before explaining briefly how measurement errors propagate according to error theory. The…
Descriptors: Pretests Posttests, Research Design, Comparative Analysis, Data Analysis
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Lazowski, Rory A.; Hulleman, Chris S. – Review of Educational Research, 2016
This meta-analysis provides an extensive and organized summary of intervention studies in education that are grounded in motivation theory. We identified 74 published and unpublished papers that experimentally manipulated an independent variable and measured an authentic educational outcome within an ecologically valid educational context. Our…
Descriptors: Student Motivation, Intervention, Meta Analysis, Effect Size
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Sireci, Stephen G.; Rios, Joseph A. – Educational Research and Evaluation, 2013
There are numerous statistical procedures for detecting items that function differently across subgroups of examinees that take a test or survey. However, in endeavouring to detect items that may function differentially, selection of the statistical method is only one of many important decisions. In this article, we discuss the important decisions…
Descriptors: Effect Size, Test Bias, Item Analysis, Statistical Analysis
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Stevenson, Jim; Buitelaar, Jan; Cortese, Samuele; Ferrin, Maite; Konofal, Eric; Lecendreux, Michel; Simonoff, Emily; Wong, Ian C. K.; Sonuga-Barke, Edmund – Journal of Child Psychology and Psychiatry, 2014
Background: The efficacy of three dietary treatments for ADHD has been repeatedly tested in randomized controlled trials (RCTs). These interventions are restricted elimination diets (RED), artificial food colour elimination (AFCE) and supplementation with free fatty acids (SFFA). There have been three systematic reviews and associated…
Descriptors: Dietetics, Attention Deficit Hyperactivity Disorder, Outcomes of Treatment, Literature Reviews
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