Journal ArticleDOI
Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs.
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TLDR
In this paper, a method for combining results across independent-groups and repeated measures designs is described, and the conditions under which such an analysis is appropriate are discussed, and a meta-analysis procedure using design-specific estimates of sampling variance is described.Abstract:
When a meta-analysis on results from experimental studies is conducted, differences in the study design must be taken into consideration. A method for combining results across independent-groups and repeated measures designs is described, and the conditions under which such an analysis is appropriate are discussed. Combining results across designs requires that (a) all effect sizes be transformed into a common metric, (b) effect sizes from each design estimate the same treatment effect, and (c) meta-analysis procedures use design-specific estimates of sampling variance to reflect the precision of the effect size estimates.read more
Citations
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Teaching and Learning in the Social Context: A Meta-Analysis of Service Learning's Effects on Academic, Personal, Social, and Citizenship Outcomes
TL;DR: In this paper, the authors summarize evidence on the extent and types of change in participants in service learning programs, specific program elements (moderators) that affect the amount of change, and generalizability of results across educational levels and curricular versus non-curricular service.
Journal ArticleDOI
Computerized virtual patients in health professions education: a systematic review and meta-analysis.
TL;DR: Comparisons of different virtual patient designs suggest that repetition until demonstration of mastery, advance organizers, enhanced feedback, and explicitly contrasting cases can improve learning outcomes.
Journal ArticleDOI
The effects of acute stress on core executive functions: A meta-analysis and comparison with cortisol.
TL;DR: It is found that stress impaired working memory and cognitive flexibility, whereas it had nuanced effects on inhibition, and this indicates that stress works through mechanisms aside from or in addition to cortisol to produce a state characterized by more reactive processing of salient stimuli but greater control over actions.
Journal ArticleDOI
A visitor's guide to effect sizes: statistical significance versus practical (clinical) importance of research findings.
Mohammadreza Hojat,Gang Xu +1 more
TL;DR: An introduction to the computation and interpretation of effect sizes from the perspective of the consumer of the research literature is given.
Journal ArticleDOI
Cognitive behavioral treatments of obsessive-compulsive disorder. A systematic review and meta-analysis of studies published 1993-2014.
TL;DR: A meta-analysis of all RCTs of CBT for OCD using the interview-based Yale-Brown Obsessive Compulsive Scale, published 1993 to 2014 finds that CBT was significantly better than antidepressant medication, but the combination of CBTs and medication was not significantly better.
References
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Book
Statistical Principles in Experimental Design
TL;DR: In this article, the authors introduce the principles of estimation and inference: means and variance, means and variations, and means and variance of estimators and inferors, and the analysis of factorial experiments having repeated measures on the same element.
Journal ArticleDOI
Statistical Principles in Experimental Design
TL;DR: This chapter discusses design and analysis of single-Factor Experiments: Completely Randomized Design and Factorial Experiments in which Some of the Interactions are Confounded.
Book
Statistical Methods for Meta-Analysis
Larry V. Hedges,Ingram Olkin +1 more
TL;DR: In this article, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.
Journal ArticleDOI
Statistical Methods for Meta-Analysis.
TL;DR: In this paper, the authors present a model for estimating the effect size from a series of experiments using a fixed effect model and a general linear model, and combine these two models to estimate the effect magnitude.