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50 Years of ERIC
50 Years of ERIC
The Education Resources Information Center (ERIC) is celebrating its 50th Birthday! First opened on May 15th, 1964 ERIC continues the long tradition of ongoing innovation and enhancement.

Learn more about the history of ERIC here. PDF icon

Showing all 10 results
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Goldhaber, Dan; Chaplin, Duncan Dunbar – Journal of Research on Educational Effectiveness, 2015
In an influential paper, Jesse Rothstein (2010) shows that standard value-added models (VAMs) suggest implausible and large future teacher effects on past student achievement. This is the basis of a falsification test that "appears" to indicate bias in typical VAM estimates of teacher contributions to student learning on standardized…
Descriptors: Teacher Evaluation, Teacher Effectiveness, Teacher Influence, Models
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Johnson, Matthew T.; Lipscomb, Stephen; Gill, Brian – Journal of Research on Educational Effectiveness, 2015
Teacher value-added models (VAMs) must isolate teachers' contributions to student achievement to be valid. Well-known VAMs use different specifications, however, leaving policymakers with little clear guidance for constructing a valid model. We examine the sensitivity of teacher value-added estimates under different models based on whether…
Descriptors: Teacher Effectiveness, Teacher Influence, Academic Achievement, Models
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Dong, Nianbo; Maynard, Rebecca – Journal of Research on Educational Effectiveness, 2013
This paper and the accompanying tool are intended to complement existing supports for conducting power analysis tools by offering a tool based on the framework of Minimum Detectable Effect Sizes (MDES) formulae that can be used in determining sample size requirements and in estimating minimum detectable effect sizes for a range of individual- and…
Descriptors: Effect Size, Sample Size, Research Design, Quasiexperimental Design
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Bloom, Howard S. – Journal of Research on Educational Effectiveness, 2012
This article provides a detailed discussion of the theory and practice of modern regression discontinuity (RD) analysis for estimating the effects of interventions or treatments. Part 1 briefly chronicles the history of RD analysis and summarizes its past applications. Part 2 explains how in theory an RD analysis can identify an average effect of…
Descriptors: Regression (Statistics), Research Design, Cutting Scores, Computation
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Reardon, Sean F.; Robinson, Joseph P. – Journal of Research on Educational Effectiveness, 2012
In the absence of a randomized control trial, regression discontinuity (RD) designs can produce plausible estimates of the treatment effect on an outcome for individuals near a cutoff score. In the standard RD design, individuals with rating scores higher than some exogenously determined cutoff score are assigned to one treatment condition; those…
Descriptors: Regression (Statistics), Research Design, Cutting Scores, Computation
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Bloom, Howard S. – Journal of Research on Educational Effectiveness, 2012
In this article, the author shares his comments on statistical analysis for multisite trials, and focuses on the contribution of Stephen Raudenbush, Sean Reardon, and Takako Nomi to future research. Raudenbush, Reardon, and Nomi provide a major contribution to future research on variation in program impacts by showing how to use multisite trials…
Descriptors: Program Evaluation, Statistical Analysis, Computation, Program Effectiveness
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Imai, Kosuke – Journal of Research on Educational Effectiveness, 2012
The author begins this discussion by thanking Larry Hedges, the editor of the journal, for giving him an opportunity to provide a commentary on this stimulating article. He also would like to congratulate the authors of the article for their insightful discussion on causal mediation analysis, which is one of the most important and challenging…
Descriptors: Statistical Analysis, Attribution Theory, Probability, Statistical Bias
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Raudenbush, Stephen W.; Reardon, Sean F.; Nomi, Takako – Journal of Research on Educational Effectiveness, 2012
Multisite trials can clarify the average impact of a new program and the heterogeneity of impacts across sites. Unfortunately, in many applications, compliance with treatment assignment is imperfect. For these applications, we propose an instrumental variable (IV) model with person-specific and site-specific random coefficients. Site-specific IV…
Descriptors: Program Evaluation, Statistical Analysis, Hierarchical Linear Modeling, Computation
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Reardon, Sean F.; Cheadle, Jacob E.; Robinson, Joseph P. – Journal of Research on Educational Effectiveness, 2009
Prior research estimating the effect of Catholic schooling has focused on high school, where evidence suggests a positive effect of Catholic versus public schooling. In this article, we estimate the effect of attending a Catholic elementary school rather than a public school on the math and reading skills of children in kindergarten through fifth…
Descriptors: Public Schools, Catholic Schools, Mathematics Skills, Reading Skills
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Fuchs, Lynn S.; Powell, Sarah R.; Hamlett, Carol L.; Fuchs, Douglas; Cirino, Paul T.; Fletcher, Jack M. – Journal of Research on Educational Effectiveness, 2008
The major purposes of this study were to assess the efficacy of tutoring to remediate 3rd-grade computational deficits and to explore whether remediation is differentially efficacious depending on whether students experience mathematics difficulty alone or concomitantly with reading difficulty. At 2 sites, 127 students were stratified on…
Descriptors: Computation, Grade 3, Remedial Instruction, Mathematics Instruction