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Multilevel Design Parameters to Plan Cluster-Randomized Intervention Studies on Student Achievement in Elementary and Secondary School
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Stallasch, Sophie E.; Lüdtke, Oliver; Artelt, Cordula; Brunner, Martin – Journal of Research on Educational Effectiveness, 2021
To plan cluster-randomized trials with sufficient statistical power to detect intervention effects on student achievement, researchers need multilevel design parameters, including measures of between-classroom and between-school differences and the amounts of variance explained by covariates at the student, classroom, and school level. Previous…
Descriptors: Foreign Countries, Randomized Controlled Trials, Intervention, Educational Research
Assessing the Performance of the "Counterfactual as Self-Estimated by Program Participants": Results from a Randomized Controlled Trial
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Mueller, Christoph Emanuel; Gaus, Hansjoerg – American Journal of Evaluation, 2015
In this article, we test an alternative approach to creating a counterfactual basis for estimating individual and average treatment effects. Instead of using control/comparison groups or before-measures, the so-called Counterfactual as Self-Estimated by Program Participants (CSEPP) relies on program participants' self-estimations of their own…
Descriptors: Intervention, Research Design, Research Methodology, Program Evaluation
Use of the Randomization Test in Single-Case Research
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Grünke, Matthias; Boon, Richard T.; Burke, Mack D. – International Journal for Research in Learning Disabilities, 2015
The purpose of this study was to illustrate the use of the randomization test for single-case research designs (SCR; Kratochwill & Levin, 2010). To demonstrate the application of this approach, a systematic replication of Grünke, Wilbert, and Calder Stegemann (2013) was conducted to evaluate the effects of a story map to improve the reading…
Descriptors: Foreign Countries, Reading Comprehension, Elementary School Students, Learning Disabilities
The Counterfactual Self-Estimation of Program Participants: Impact Assessment without Control Groups or Pretests
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Mueller, Christoph Emanuel; Gaus, Hansjoerg; Rech, Joerg – American Journal of Evaluation, 2014
This article proposes an innovative approach to estimating the counterfactual without the necessity of generating information from either a control group or a before-measure. Building on the idea that program participants are capable of estimating the hypothetical state they would be in had they not participated, the basics of the Roy-Rubin model…
Descriptors: Research Design, Program Evaluation, Research Methodology, Models
Randomized Controlled Studies and Alternative Designs in Outcome Studies: Challenges and Opportunities
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Shadish, William R. – Research on Social Work Practice, 2011
This article reviews several decades of the author's meta-analytic and experimental research on the conditions under which nonrandomized experiments can approximate the results from randomized experiments (REs). Several studies make clear that we can expect accurate effect estimates from the regression discontinuity design, though its statistical…
Descriptors: Control Groups, Comparative Analysis, Outcomes of Treatment, Meta Analysis
Conceptual Change in Physical Geography and Environmental Sciences through Mental Model Building: The Example of Groundwater
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Reinfried, Sibylle – International Research in Geographical and Environmental Education, 2006
This research tested the hypothesis that students' erroneous mental models about groundwater will change towards more valid concepts if they are taught on the basis of a mental model-building strategy that focuses on the clarification of students' misconceptions. To examine the hypothesis a quasi-experimental research design was chosen. The…
Descriptors: Experimental Groups, Control Groups, Undergraduate Students, Research Design