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.read more
Citations
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The therapeutic alliance with involuntary clients: how does it work?
TL;DR: In this paper, the authors compared involuntary and voluntary clients in the establishment of the therapeutic alliance in the context of family therapy and found that the clients who sought therapy voluntarily demonstrated more alliance-related behaviour than did involuntary clients in all alliance dimensions.
Journal ArticleDOI
Do Cognitive Reappraisal and Diaphragmatic Breathing Augment Interoceptive Exposure for Anxiety Sensitivity
Brett J. Deacon,James J. Lickel,Elizabeth Possis,Jonathan S. Abramowitz,Brittain Mahaffey,Kate Wolitzky-Taylor +5 more
TL;DR: In this paper, the authors found that interoceptive exposure (IE) is an effective procedure for reducing anxiety sensitivity and the symptoms of panic disorder, but the extent to which IE is enhanced by the concurrent use of cognitive reappraisal (CR) and diaphragmatic breathing (DB) is unclear.
Journal ArticleDOI
Learning by writing explanations: Is explaining to a fictitious student more effective than self-explaining?
TL;DR: The authors found that students who write explanations are better off self-explaining than explaining to a fictitious student, which was moderated by the modality of explaining (oral explaining>written explaining).
Journal ArticleDOI
Testing two types of self-help CBT-I for insomnia in older adults with arthritis or coronary artery disease.
TL;DR: The results suggest that self-help CBT-I has good potential to serve as a first-line, cost-effective treatment for both primary and comorbid insomnia in older adults.
Journal ArticleDOI
Cognitive behavioural treatment for insomnia in primary care: a systematic review of sleep outcomes
TL;DR: The findings support the effectiveness of multicomponent CBT-I in general primary care, and future studies should use standard sleep measures, examine daytime symptoms, and investigate the impact of hypnotic tapering interventions delivered in conjunction with CBt-I.
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.