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Schochet, Peter Z.; Puma, Mike; Deke, John – National Center for Education Evaluation and Regional Assistance, 2014
This report summarizes the complex research literature on quantitative methods for assessing how impacts of educational interventions on instructional practices and student learning differ across students, educators, and schools. It also provides technical guidance about the use and interpretation of these methods. The research topics addressed…
Descriptors: Statistical Analysis, Evaluation Methods, Educational Research, Intervention
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Pinxten, Maarten; De Fraine, Bieke; Van Damme, Jan; D'Haenens, Ellen – British Journal of Educational Psychology, 2010
Background: The relation between academic self-concept and achievement has been examined in a large number of studies. The majority of these studies have found evidence for a reciprocal effects model. However, there is an ongoing debate on how students' achievement should be measured and whether the type of achievement indicator (grades, tests,…
Descriptors: Standardized Tests, Academic Achievement, Comparative Analysis, Retention (Psychology)
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Stuart, Elizabeth A.; Green, Kerry M. – Developmental Psychology, 2008
Matching methods such as nearest neighbor propensity score matching are increasingly popular techniques for controlling confounding in nonexperimental studies. However, simple k:1 matching methods, which select k well-matched comparison individuals for each treated individual, are sometimes criticized for being overly restrictive and discarding…
Descriptors: Marijuana, Correlation, Adolescents, Adolescent Development
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Felson, Richard B. – American Sociologist, 1991
Criticizes the use of blame analysis rather than scientific analysis in sociological studies. Defines blame analysis as an approach to social science that (1) evaluates theories according to the extent that they blame protected groups; (2) equates cause with blame; (3) and rejects theoretical arguments that posit any causal role for the protected…
Descriptors: Attribution Theory, Battered Women, Causal Models, Evaluation Methods