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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.

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Citations
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Journal ArticleDOI

Meta-analysis of brain structural changes after electroconvulsive therapy in depression.

TL;DR: A meta-analysis of published studies was carried out using random-effects models of standardized mean change of regional brain volumes measured with longitudinal magnetic resonance imaging of depressive patients before and after a series of ECT.
Journal ArticleDOI

The effect of attorneys' work with trauma-exposed clients on PTSD symptoms, depression, and functional impairment: a cross-lagged longitudinal study.

TL;DR: Findings underscore the central role of exposure to trauma-exposed clients in predicting mental health outcomes and emphasize the need to support attorneys by managing the intensity of exposure as well as addressing emerging symptoms.
Journal ArticleDOI

Learning curve analyses in neurodevelopmental disorders: are children with autism spectrum disorder truly visual learners?

TL;DR: Compared to expectations, children with ASD demonstrated a relative weakness in the rate of acquisition of visual in contrast to verbal learning compared to neurotypicals, and showed a complex pattern of consolidation.
Journal ArticleDOI

The effectiveness of workplace coaching: a meta-analysis of contemporary psychologically informed coaching approaches

TL;DR: In this paper, a meta-analysis of evidence-based work-applied management through a metaanalysis was conducted, which showed that psychologically informed coaching approaches facilitated effective work-related outcomes, particularly on goal attainment and self-efficacy.
Journal ArticleDOI

Development of Domain-Specific Self-Evaluations: A Meta-Analysis of Longitudinal Studies

TL;DR: The meta-analytic findings suggest that the notion that self-evaluations generally show a substantial decline in the transition from early to middle childhood should be revised and did not support the notion queuing to reach a critical low point in many domains in early adolescence.
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.