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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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Citations
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Friendship Quality and Health-Related Outcomes Among Adolescents With Cystic Fibrosis

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An experimental study of the effects of autonomy support on preschoolers' self-regulation

TL;DR: In this article, a short-term experimental investigation of parent autonomy support and its effect on 3-year-old children's self-regulation was conducted, where parents were randomly assigned to complete a challenging puzzle with their child in either a highly autonomy supportive or highly controlling manner.
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Förderung von Klassenführungsfähigkeiten im Lehramtsstudium

TL;DR: In der vorliegenden Interventionsstudie wurden zwei videobasierte universitare trainings im Bereich Klassenfuhrung im Grundschulunterricht in einem quasi-experimentellen Pra-Post-Design verglichen as mentioned in this paper.
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.