Journal ArticleDOI
Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs.
Reads0
Chats0
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
More filters
Journal ArticleDOI
Meta-analysis of the relations of anxiety sensitivity to the depressive and anxiety disorders.
TL;DR: Results of the path analysis indicated that AS is broadly related to these disorders but that agoraphobia, GAD, panic, and PTSD have the strongest associations and AS was more strongly related to the latent distress disorders than the fear disorders.
Journal ArticleDOI
In Search of East Asian Self-Enhancement
Steven J. Heine,Takeshi Hamamura +1 more
TL;DR: The evidence converges to show that East Asians do not self-enhance, and studies that were implicated by the EBTA reported significantly larger self- enhancement effect for all cultures compared to other studies.
Journal ArticleDOI
Fixed‐ versus random‐effects models in meta‐analysis: Model properties and an empirical comparison of differences in results
TL;DR: The authors examined the important statistical differences between fixed-effects and random-effects (RE) models in meta-analysis and between two different RE procedures, due to Hedges and Vevea, and to Hunter and Schmidt.
Journal ArticleDOI
A meta-analytic review of behavior modeling training.
TL;DR: A meta-analysis of 117 studies evaluated the effects of behavior modeling training on 6 training outcomes, across characteristics of training design and found transfer was greatest when mixed (negative and positive) models were presented.
Journal ArticleDOI
Standardized or simple effect size: what should be reported?
TL;DR: Factors such as reliability, range restriction and differences in design that distort standardized effect size unless suitable corrections are employed are explored.
References
More filters
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.