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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.

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Citations
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Journal ArticleDOI

Simultaneous Treatment of Neurocognitive and Psychiatric Symptoms in Veterans with Post-Traumatic Stress Disorder and History of Mild Traumatic Brain Injury: A Pilot Study of Mindfulness-Based Stress Reduction

TL;DR: In a pre-post mixed methods design pilot study, nine Veterans with post-traumatic stress disorder and a history of mild traumatic brain injury with chronic cognitive complaints participated in Mindfulness-Based Stress Reduction, Qualitative and quantitative findings suggest high levels of safety, feasibility, and acceptability.
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Impact of Early Pharmacological Treatment on Cognitive and Behavioral Outcome After Traumatic Brain Injury in Adults: A Meta-Analysis

TL;DR: A meta-analysis of research that examined the impact of pharmacological treatments on cognitive and behavioral outcomes in the early stages after TBI between January 1980 and May 2008 found that drug dosage and the measure chosen to assess outcome influenced the probability of finding a treatment benefit.
Journal ArticleDOI

Got power? A systematic review of sample size adequacy in health professions education research

TL;DR: Most education research studies are powered only to detect effects of large magnitude, and for most studies that do not reach statistical significance, the possibility of large and important differences still exists.
Journal ArticleDOI

The cognitive mechanisms underlying deception: an event-related potential study.

TL;DR: The results support the cognitive load hypothesis for lying, yet are mixed regarding the response conflict hypothesis.
Journal ArticleDOI

Core Values Versus Common Sense Consequentialist Views Appear Less Rooted in Morality

TL;DR: It is argued that, despite a consequentialist philosophical tradition that views utilitarian consequences as the basis for moral reasoning, lay perceivers think that speakers using arguments based on consequences do not construe the issue as a moral one.
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

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.