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
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Journal ArticleDOI
Distance-delivered interventions for PTSD: A systematic review and meta-analysis
Janine V. Olthuis,Lori Wozney,Gordon J.G. Asmundson,Heidi Cramm,Patricia Lingley-Pottie,Patricia Lingley-Pottie,Patrick J. McGrath,Patrick J. McGrath +7 more
TL;DR: In this article, a systematic review and meta-analysis evaluated the efficacy of distance-delivered, guided approaches to treatment (e.g., delivered via telephone, Internet, mail, videoconferencing) for clinical and subclinical posttraumatic stress disorder (PTSD).
Journal ArticleDOI
Decision-Making Groups Attenuate the Discussion Bias in Favor of Shared Information: A Meta-Analysis
TL;DR: In this article, a meta-analysis was conducted to test how robust the sampling advantage for shared information is, and the analysis integrated findings from 20 publications (45 independent effects), in which information sharedness was manipulated.
Journal ArticleDOI
“Ready, willing, and (not) able” to change: Young adults’ response to residential treatment
TL;DR: During-treatment change in key therapeutic processes (psychological distress, motivation, self-efficacy, coping skills, and commitment to AA/NA) are investigated to clarify the mechanisms through which treatment confers recovery-related benefit among young adults.
Journal ArticleDOI
Effects of the KEEP Foster Parent Intervention on Child and Sibling Behavior Problems and Parental Stress During a Randomized Implementation Trial.
TL;DR: The KEEP intervention model holds promise for reducing the behavior problems of children in foster care and reducing stress levels of foster and kinship caregivers as it is disseminated and implemented within similar child welfare settings.
Journal ArticleDOI
Health Outcomes of a Series of Bonny Method of Guided Imagery and Music Sessions: A Systematic Review.
TL;DR: Evidence is promising that a series of Bonny Method of GIM sessions may be effective for improving both psychological and physiological health and may be therapeutically indicated for adults seeking treatment with medical, mental health, and nonclinical needs.
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
Larry V. Hedges,Ingram Olkin +1 more
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.