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López-López, José Antonio; Van den Noortgate, Wim; Tanner-Smith, Emily E.; Wilson, Sandra Jo; Lipsey, Mark W. – Research Synthesis Methods, 2017
Dependent effect sizes are ubiquitous in meta-analysis. Using Monte Carlo simulation, we compared the performance of 2 methods for meta-regression with dependent effect sizes--robust variance estimation (RVE) and 3-level modeling--with the standard meta-analytic method for independent effect sizes. We further compared bias-reduced linearization…
Descriptors: Effect Size, Regression (Statistics), Meta Analysis, Comparative Analysis
Polanin, Joshua R.; Hennessy, Emily A.; Tanner-Smith, Emily E. – Journal of Educational and Behavioral Statistics, 2017
Meta-analysis is a statistical technique that allows an analyst to synthesize effect sizes from multiple primary studies. To estimate meta-analysis models, the open-source statistical environment R is quickly becoming a popular choice. The meta-analytic community has contributed to this growth by developing numerous packages specific to…
Descriptors: Meta Analysis, Open Source Technology, Computer Software, Effect Size
Polanin, Joshua R.; Tanner-Smith, Emily E.; Hennessy, Emily A. – Review of Educational Research, 2016
Practitioners and policymakers rely on meta-analyses to inform decision making around the allocation of resources to individuals and organizations. It is therefore paramount to consider the validity of these results. A well-documented threat to the validity of research synthesis results is the presence of publication bias, a phenomenon where…
Descriptors: Publications, Periodicals, Bias, Effect Size
Polanin, Joshua R.; Tanner-Smith, Emily E.; Hennessy, Emily A. – Grantee Submission, 2016
Practitioners and policymakers rely on meta-analyses to inform decision-making around the allocation of resources to individuals and organizations. It is therefore paramount to consider the validity of these results. A well-documented threat to the validity of research synthesis results is the presence of publication bias, a phenomenon where…
Descriptors: Publications, Periodicals, Bias, Effect Size
Tanner-Smith, Emily E.; Tipton, Elizabeth – Research Synthesis Methods, 2014
Methodologists have recently proposed robust variance estimation as one way to handle dependent effect sizes in meta-analysis. Software macros for robust variance estimation in meta-analysis are currently available for Stata (StataCorp LP, College Station, TX, USA) and SPSS (IBM, Armonk, NY, USA), yet there is little guidance for authors regarding…
Descriptors: Robustness (Statistics), Effect Size, Computer Software, Tutorial Programs
Clark, Douglas B.; Tanner-Smith, Emily E.; Killingsworth, Stephen S. – Review of Educational Research, 2016
In this meta-analysis, we systematically reviewed research on digital games and learning for K-16 students. We synthesized comparisons of game versus nongame conditions (i.e., media comparisons) and comparisons of augmented games versus standard game designs (i.e., value-added comparisons). We used random-effects meta-regression models with robust…
Descriptors: Educational Games, Computer Games, Meta Analysis, Multiple Regression Analysis
Petrosino, Anthony; Morgan, Claire; Fronius, Trevor; Tanner-Smith, Emily E.; Boruch, Robert F. – Research on Social Work Practice, 2015
Due to evidence linking education and development, funding has been invested in interventions relevant to getting youth into school and keeping them there. This article reports on a systematic review of impact studies of these school enrollment interventions. Reports were identified through electronic searches of bibliographic databases and other…
Descriptors: Developing Nations, Literature Reviews, Best Practices, School Holding Power