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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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Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs

TL;DR: A practical primer on how to calculate and report effect sizes for t-tests and ANOVA's such that effect sizes can be used in a-priori power analyses and meta-analyses and a detailed overview of the similarities and differences between within- and between-subjects designs is provided.
Journal ArticleDOI

Patterns of mean-level change in personality traits across the life course: a meta-analysis of longitudinal studies.

TL;DR: The present study used meta-analytic techniques to determine the patterns of mean-level change in personality traits across the life course and showed that people increase in measures of social dominance, conscientiousness, and emotional stability in young adulthood and decrease in both of these domains in old age.
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Unemployment impairs mental health: Meta-analyses

TL;DR: In this paper, the effect of unemployment on mental health was examined with meta-analytic methods across 237 cross-sectional and 87 longitudinal studies and the average overall effect size was d ǫ = 0.51 with unemployed persons showing more distress than employed persons.
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Estimating Effect Sizes From Pretest-Posttest-Control Group Designs:

TL;DR: In this article, the authors compared three alternate effect size estimates for repeated measurements in both treatment and control groups, and found that the alternate measures of effect size were less accurate than the original measures.
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Technology-enhanced simulation for health professions education: a systematic review and meta-analysis

TL;DR: In comparison with no intervention, technology-enhanced simulation training in health professions education is consistently associated with large effects for outcomes of knowledge, skills, and behaviors and moderate effects for patient-related outcomes.
References
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Journal ArticleDOI

A Cumulative Study of the Effectiveness of Managerial Training

TL;DR: In this article, meta-analysis procedures were applied to the results of 70 managerial training studies to empirically integrate the findings of the studies, and the metaanalysis results for 34 distributions of managerial training effects representing six training content areas, seven training methods, and four types of criteria (subjective learning, objective learning, subjective behavior, and objective results).
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Effects of self‐efficacy and post‐training intervention on the acquisition and maintenance of complex interpersonal skills

TL;DR: In this article, the authors examined the effects of self-efficacy and a two-stage training process on the acquisition and maintenance (i.e., retention) of complex interpersonal skills.
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The effects of psychological therapies under clinically representative conditions: a meta-analysis.

TL;DR: This study illustrates the joint use of fixed and random effects models, use of pretest effect sizes to study selection bias in quasi-experiments, and use of regression analysis to project results to an ideal study in the spirit of response surface modeling.
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Estimation of Effect Size From a Series of Experiments Involving Paired Comparisons

TL;DR: This article developed the distribution theory for a Glass-type estimator of effect size from studies involving paired comparisons and derived an unbiased estimator for effect size following the same distribution theory using paired comparisons.