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
Debriefing for Technology-Enhanced Simulation: A Systematic Review and Meta-Analysis
TL;DR: It is sought to characterise howdebriefing is reported in the TES literature, identify debriefing features that are associated with improved outcomes, and evaluate the effectiveness of deb Briefing when combined with TES.
Journal ArticleDOI
How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables.
TL;DR: In this article, the authors describe reference numbers needed for the designs most often used by psychologists, including single-variable between-groups and repeated-measures designs with two and three levels, two-factor designs involving two repeated measures and one repeated measure, and split-plot design.
Journal ArticleDOI
The Production of Inequality: The Gender Division of Labor Across the Transition to Parenthood
TL;DR: The findings have important implications for (a) the state of the gender revolution among couples well positioned to obtained balanced workloads and (b) the utility of survey data to measure parents' division of labor.
Journal ArticleDOI
A meta-analysis of procedures to change implicit measures.
Patrick S. Forscher,Calvin K. Lai,Jordan Axt,Charles R. Ebersole,Michelle Herman,Patricia G. Devine,Brian A. Nosek +6 more
TL;DR: It is found that implicit measures can be changed, but effects are often relatively weak (|ds| < .30), and changes in implicit measures did not mediate changes in explicit measures or behavior.
Journal ArticleDOI
Mechanisms of masked priming: a meta-analysis.
TL;DR: The authors found significant priming in their analyses, indicating that unconsciously presented information can influence behavior and that nonsemantic processing of primes is enhanced and priming effects are boosted when the experimental context allows the formation of automatic stimulus-response mappings.
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.