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Jina Kim – Society for Research on Educational Effectiveness, 2024
Background: Despite historical efforts (Ellwood & Kane, 2000; Daun-Barnett, 2013; Perna, 2006; Kane, 1999), persisting inequities in higher education access underscore the need for innovative research approaches. Previous studies utilizing geospatial approaches often overlook critical dimensions like college readiness and financial aid while…
Descriptors: Access to Education, Equal Education, Higher Education, High School Students
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Spybrook, Jessaca; Kelcey, Ben; Dong, Nianbo – Society for Research on Educational Effectiveness, 2016
Cluster randomized trials (CRTs), or studies in which intact groups of individuals are randomly assigned to a condition, are becoming more common in evaluation studies of educational programs. A specific type of CRT in which clusters are randomly assigned to treatment within blocks or sites, known as multisite cluster randomized trials (MSCRTs),…
Descriptors: Statistical Analysis, Computation, Randomized Controlled Trials, Cluster Grouping
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Steiner, Peter M.; Kim, Jee-Seon – Society for Research on Educational Effectiveness, 2015
Despite the popularity of propensity score (PS) techniques they are not yet well studied for matching multilevel data where selection into treatment takes place among level-one units within clusters. This paper suggests a PS matching strategy that tries to avoid the disadvantages of within- and across-cluster matching. The idea is to first…
Descriptors: Computation, Outcomes of Treatment, Multivariate Analysis, Probability
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Kelcey, Ben – Society for Research on Educational Effectiveness, 2014
A common design in education research for interventions operating at a group or cluster level is a cluster randomized trial (CRT) (Bloom, 2005). In CRTs, intact clusters (e.g., schools) are assigned to treatment conditions rather than individuals (e.g., students) and are frequently an effective way to study interventions because they permit…
Descriptors: Cluster Grouping, Randomized Controlled Trials, Statistical Analysis, Computation
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Rhoads, Christopher; Dye, Charles – Society for Research on Educational Effectiveness, 2014
Recent years have seen an increased interest in quantitative educational research studies that use random assignment (RA) to evaluate the causal impacts of educational interventions (Angrist, 2004). The multi-level structure of the public education system in the United States often leads to experimental designs where naturally occurring clusters…
Descriptors: Regression (Statistics), Cluster Grouping, Educational Research, Sample Size
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Dong, Nianbo – Society for Research on Educational Effectiveness, 2014
For intervention studies involving binary treatment variables, procedures for power analysis have been worked out and computerized estimation tools are generally available. The purpose of this study is to: (1) develop the statistical formulations for calculating statistical power, minimum detectable effect size (MDES) and its confidence interval,…
Descriptors: Cluster Grouping, Randomized Controlled Trials, Statistical Analysis, Computation
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Spybrook, Jessaca; Kelcey, Ben – Society for Research on Educational Effectiveness, 2014
Cluster randomized trials (CRTs), or studies in which intact groups of individuals are randomly assigned to a condition, are becoming more common in the evaluation of educational programs, policies, and practices. The website for the National Center for Education Evaluation and Regional Assistance (NCEE) reveals they have launched over 30…
Descriptors: Cluster Grouping, Randomized Controlled Trials, Statistical Analysis, Computation
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DiPerna, James C.; Lei, Puiwa; Bellinger, Jill; Cheng, Weiyi – Society for Research on Educational Effectiveness, 2014
Teaching children to get along with others, care about themselves, and actively participate in learning are three of the most important outcomes of the schooling process. Yet children in some schools are not achieving these outcomes, and many educators have not received adequate training to create instructional environments that facilitate these…
Descriptors: Interpersonal Competence, Improvement Programs, Intervention, Program Effectiveness
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Westine, Carl D. – Society for Research on Educational Effectiveness, 2015
A cluster-randomized trial (CRT) relies on random assignment of intact clusters to treatment conditions, such as classrooms or schools (Raudenbush & Bryk, 2002). One specific type of CRT, a multi-site CRT (MSCRT), is commonly employed in educational research and evaluation studies (Spybrook & Raudenbush, 2009; Spybrook, 2014; Bloom,…
Descriptors: Correlation, Randomized Controlled Trials, Science Achievement, Cluster Grouping
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Citkowicz, Martyna; Polanin, Joshua R. – Society for Research on Educational Effectiveness, 2014
Meta-analyses are syntheses of effect-size estimates obtained from a collection of studies to summarize a particular field or topic (Hedges, 1992; Lipsey & Wilson, 2001). These reviews are used to integrate knowledge that can inform both scientific inquiry and public policy, therefore it is important to ensure that the estimates of the effect…
Descriptors: Meta Analysis, Accountability, Cluster Grouping, Effect Size
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Halpin, Peter F.; Torrente, Catalina – Society for Research on Educational Effectiveness, 2014
Using reliable and valid measures of students' outcomes which are sensitive to change is critical for obtaining interpretable and therefore useful results from evaluations of school-based interventions. While measurement development for use in experimental evaluations receives a great deal of attention in the U.S., it lags behind in low-income…
Descriptors: Foreign Countries, Outcome Measures, Outcomes of Education, Cluster Grouping
Dong, Nianbo; Lipsey, Mark – Society for Research on Educational Effectiveness, 2010
This study uses simulation techniques to examine the statistical power of the group- randomized design and the matched-pair (MP) randomized block design under various parameter combinations. Both nearest neighbor matching and random matching are used for the MP design. The power of each design for any parameter combination was calculated from…
Descriptors: Simulation, Statistical Analysis, Cluster Grouping, Mathematical Models