scispace - formally typeset
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.

read more

Citations
More filters
Journal ArticleDOI

The Effect of Parent Involvement in the Treatment of Anxiety Disorders in Children: A Meta-Analysis

TL;DR: A meta-analysis was carried out in order to investigate whether parent involvement potentiates the outcome for children with anxiety disorders when treated with cognitive–behavior therapy.
Journal ArticleDOI

Cardiovascular reactivity to acute psychological stress following sleep deprivation.

TL;DR: Systolic blood pressure was higher in the sleep deprivation condition compared with the normal sleep condition during the speech task and during the two baseline periods, and may increase cardiovascular risk by dysregulating stress physiology.
Journal ArticleDOI

Electrical brain stimulation (tES) improves learning more than performance: A meta-analysis

TL;DR: The first meta‐analysis comparing transcranial Electrical Stimulation of learning vs. of test performance supports the view that tES enhances long‐term synaptic learning and provides evidence for the modulation of long-term synaptic plasticity by tES in the context of practically relevant learning tasks.
Journal ArticleDOI

Mean Effects of Test Accommodations for ELLs and Non‐ELLs: A Meta‐Analysis of Experimental Studies

TL;DR: This article examined the impact of different types of accommodations on performance in content tests such as mathematics and found that accommodations that require extra printed materials need generous time limits for both the accommodated and unaccommodated groups to ensure that they are effective, equivalent in scale to the original test, and therefore more valid.
Journal ArticleDOI

Technology and Reading Performance in the Middle-School Grades: A Meta-Analysis with Recommendations for Policy and Practice

TL;DR: The results of a meta-analysis of 20 research articles containing 89 effect sizes related to the use of digital tools and learning environments to enhance literacy acquisition for middle school students are presented in this article.
References
More filters
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.