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

Human Movement Responses to the Rorschach and Mirroring Activity: An fMRI Study.

TL;DR: Univariate region of interest analyses showed that production of M responses associated with significantly greater activity in MNS-related brain areas when compared with non-M Rorschach responses, consistent with the traditional interpretation of the M code.
Journal ArticleDOI

A longitudinal intervention to improve young children's liking and consumption of new foods: findings from the Colorado LEAP study.

TL;DR: The Food Friends intervention, which utilized positive, repeated experiences with new foods, and was delivered with good fidelity by trained preschool teachers, found that larger improvements were observed in children’s eating behaviors than would be expected with developmentally-based changes in eating behaviors.
Journal ArticleDOI

Meta-Analysis of the Effect of Red on Perceived Attractiveness:

TL;DR: Meta-analyses of studies that test the red-romance hypothesis suggest effect sizes may have declined over time, may be largest when an original shade of red is used (men only), and may be smaller in preregistered studies (women only).
Journal ArticleDOI

Kinetic peak vertical force measurement in cats afflicted by coxarthritis: data management and acquisition protocols.

TL;DR: To limit the dispersion of data, the measurement of PVF should be managed using the lowest hind limb PVF value, and following stair climbing to optimise sample and effect sizes and to preserve statistical power.
Journal ArticleDOI

Open trial of exposure therapy for PTSD among patients with severe and persistent mental illness.

TL;DR: The current data support the use of exposure-based interventions for PTSD among individuals with SMI and highlight the need for rigorous randomized efficacy trials investigating frontline PTSD interventions in this patient population.
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.