Journal ArticleDOI
Synthesizing standardized mean‐change measures
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A new approach is presented for the meta-analysis of data from pre-test-post-test designs, based on a ‘standardized mean-change’ measure, computed for each sample within a study, and involves analysis of the standardized mean changes and differences in theStandardized mean changes.Abstract:
A new approach is presented for the meta-analysis of data from pre-test-post-test designs. With this approach, data from studies using different designs may be compared directly and studies without control groups need not be omitted. The approach is based on a ‘standardized mean-change’ measure, computed for each sample within a study, and involves analysis of the standardized mean changes and differences in the standardized mean changes. Analyses are illustrated using results of studies of the effectiveness of mental practice on motor-skill development.read more
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Acute stressors and cortisol responses: a theoretical integration and synthesis of laboratory research.
TL;DR: Motivated performance tasks elicited cortisol responses if they were uncontrollable or characterized by social-evaluative threat (task performance could be negatively judged by others), when methodological factors and other stressor characteristics were controlled for.
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Effect size, confidence interval and statistical significance: a practical guide for biologists.
TL;DR: This article extensively discusses two dimensionless (and thus standardised) classes of effect size statistics: d statistics (standardised mean difference) and r statistics (correlation coefficient), because these can be calculated from almost all study designs and also because their calculations are essential for meta‐analysis.
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Combining effect size estimates in meta-analysis with repeated measures and independent-groups designs.
TL;DR: 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.
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Meta-Analysis of Experiments With Matched Groups or Repeated Measures Designs
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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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.