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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Slights, snubs, and slurs: leader equity and microaggressions
TL;DR: In this article, the authors apply the construct of microaggressions to organizational contexts by examining perceptions of discrimination in ambiguous interactions between White supervisors and Black subordinates and their impact on work outcomes under varying conditions of leader fairness.
Journal ArticleDOI
Evidence for working memory storage operations in perceptual cortex
TL;DR: Direct connectivity measures revealed that the direction of information flow that was optimal for performance was from sensory regions that stored the features of the target face to dorsal prefrontal regions, supporting the notion that sensory input is compared to representations stored within perceptual regions and is subsequently relayed forward.
Journal ArticleDOI
Promoting sixth graders’ credibility evaluation of Web pages: An intervention study
Elina Hämäläinen,Carita Kiili,Miika Marttunen,Eija Räikkönen,Roberto González-Ibáñez,Paavo H.T. Leppänen +5 more
TL;DR: The results showed that the intervention program helped students better justify their credibility ratings by reference to source features but not to the argumentation or other aspects of the content compared to controls.
Journal ArticleDOI
Something to Shout About: A Simple, Quick Performance Enhancement Technique Improved Strength in Both Experts and Novices
Amy S. Welch,Mark Adam Tschampl +1 more
TL;DR: In this paper, the authors examined the effect of kiaping on strength and whether expertise influenced its effectiveness and found that performance for all participants was significantly better with the kiap than without.
Journal ArticleDOI
Changes in return to work among patients in vocational rehabilitation: a self-determination theory perspective.
TL;DR: The results underscore the importance of health care practitioners’ providing support for their patients’ autonomy, competence, and relatedness to improve well-being, physical activity, and RTW in the context of vocational rehabilitation.
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.