Journal ArticleDOI
Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs.
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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Journal ArticleDOI
Fixed or random effects meta-analysis? Common methodological issues in systematic reviews of effectiveness.
TL;DR: Some of the common methodological issues that arise when conducting systematic reviews and meta-analyses of effectiveness data are discussed, including issues related to study designs, meta-analysis, and the use and interpretation of effect sizes.
Journal ArticleDOI
Stress-related and basic determinants of hair cortisol in humans: A meta-analysis.
Tobias Stalder,Tobias Stalder,Susann Steudte-Schmiedgen,Nina Alexander,Tim Klucken,Annika Vater,Susann Wichmann,Clemens Kirschbaum,Robert Miller +8 more
TL;DR: A first comprehensive meta-analysis of hair cortisol concentrations research based on aggregated data from a total of 124 (sub)samples reveals positive associations of HCC with stress-related anthropometric measures and hemodynamic measures (systolic blood pressure).
Posted Content
Fixed- Versus Random-Effects Models in Meta-Analysis: Model Properties and an Empirical Comparison of Differences in Results
TL;DR: Findings suggest that the precision of meta-analysis findings in the literature has often been substantially overstated, with important consequences for research and practice.
Journal ArticleDOI
Does coaching work? A meta-analysis on the effects of coaching on individual level outcomes in an organizational context
TL;DR: In this paper, a meta-analysis on the effectiveness of coaching within an organizational context is presented, showing that coaching has significant positive effects on all outcomes with effect sizes ranging from g = 0.43 (coping) to g= 0.74 (goal-directed self-regulation).
Journal ArticleDOI
Instructional Design Variations in Internet-Based Learning for Health Professions Education: A Systematic Review and Meta-Analysis
David A. Cook,Anthony J Levinson,Sarah Garside,Denise M. Dupras,Patricia J. Erwin,Victor M. Montori +5 more
TL;DR: Interactivity, practice exercises, repetition, and feedback seem to be associated with improved learning outcomes, although inconsistency across studies tempers conclusions.
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.