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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
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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
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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