Journal ArticleDOI
Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs.
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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
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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.
Journal ArticleDOI
Unemployment impairs mental health: Meta-analyses
Karsten Ingmar Paul,Klaus Moser +1 more
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Technology-enhanced simulation for health professions education: a systematic review and meta-analysis
David A. Cook,Rose Hatala,Ryan Brydges,Benjamin Zendejas,Jason H. Szostek,Amy T. Wang,Patricia J. Erwin,Stanley J. Hamstra +7 more
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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TL;DR: In this paper, the authors evaluate the performance of confidence intervals and hypothesis tests when each type of statistical procedure is used for each kind of inference and confirm that each procedure is best for making the kind of inferences for which it was designed.
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TL;DR: In this article, the authors address issues that arise when meta-analyses are conducted on experiments with matched groups or repeated measures designs, and discuss procedures for computing effect size appropriately from matched groups and repeated measures.
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Journal ArticleDOI
The efficacy of psychological, educational, and behavioral treatment. Confirmation from meta-analysis.
Mark W. Lipsey,David B. Wilson +1 more
TL;DR: In contrast, meta-analytic reviews show a strong, dramatic pattern of positive overall effects that cannot readily be explained as artifacts of metaanalytic technique or generalized placebo effects.
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TL;DR: The second edition of as discussed by the authors presents a survey of research in social and personality psychology with a focus on causal inference and non-causal hypotheses in the context of dyads and groups, as well as a practical guide to priming and automaticity research.