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Anthony Gambino – Society for Research on Educational Effectiveness, 2021
Analysis of symmetrically predicted endogenous subgroups (ASPES) is an approach to assessing heterogeneity in an ITT effect from a randomized experiment when an intermediate variable (one that is measured after random assignment and before outcomes) is hypothesized to be related to the ITT effect, but is only measured in one group. For example,…
Descriptors: Randomized Controlled Trials, Prediction, Program Evaluation, Credibility
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Peck, Laura R. – American Journal of Evaluation, 2015
Several analytic strategies exist for opening up the "black box" to reveal more about what drives policy and program impacts. This article focuses on one of these strategies: the Analysis of Symmetrically-Predicted Endogenous Subgroups (ASPES). ASPES uses exogenous baseline data to identify endogenously-defined subgroups, keeping the…
Descriptors: Program Evaluation, Credibility, Prediction, Sample Size
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Louie, Josephine; Rhoads, Christopher; Mark, June – American Journal of Evaluation, 2016
Interest in the regression discontinuity (RD) design as an alternative to randomized control trials (RCTs) has grown in recent years. There is little practical guidance, however, on conditions that would lead to a successful RD evaluation or the utility of studies with underpowered RD designs. This article describes the use of RD design to…
Descriptors: Regression (Statistics), Program Evaluation, Algebra, Supplementary Education
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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
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Kazi, Mansoor A. F.; Pagkos, Brian; Milch, Heidi A. – Research on Social Work Practice, 2011
Objectives: The purpose of this study was to develop a realist evaluation paradigm in social work evidence-based practice. Method: Wraparound (at Gateway-Longview Inc., New York) used a reliable outcome measure and an electronic database to systematically collect and analyze data on the interventions, the client demographics and circumstances, and…
Descriptors: Intervals, Data Analysis, Social Work, Sample Size
Herman, Joan L.; Yamashiro, Kyo; Lefkowitz, Sloane; Trusela, Lee Ann – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2008
This study examined the relationship between data use and achievement at 13 urban Title I schools. Using multiple methods, including test scores, district surveys, school transformation plans, and four case study site visits, the researchers found wide variation in the use of data to inform instruction and planning. In some cases, schools were …
Descriptors: Academic Achievement, Program Effectiveness, Scores, Data Analysis
Gabriel, Roy M. – 1982
Data from 86 Early Childhood Education (ECE) projects in Oregon were analyzed using methods prescribed by the Value Added model for ECE evaluation. The extent to which appropriate model implementation procedures were followed is unknown. Thus, the results represent an empirical account of the model's estimates of project impact, rather than a…
Descriptors: Cognitive Development, Data Analysis, Early Childhood Education, Models
Burghardt, John; McConnell, Sheena; Meckstroth, Alicia; Schochet, Peter; Johnson, Terry; Homrighausen, John – 1999
The National Job Corps Study was conducted in 1994-1996 to provide a thorough and rigorous assessment of the impacts of the Job Corps on key participant outcomes. To ensure that the study was well implemented, a study team from Mathematica Policy Research, Inc., (MPR) investigated outcome and admission (OA) procedures in each Job Corps region and…
Descriptors: Admission Criteria, Career Education, Community Relations, Comparative Analysis