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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Journal ArticleDOI
The metric comparability of meta-analytic effect-size estimators from factorial designs.
TL;DR: Two models provide a formal description of the 2 principal routes by which a single-factor design may evolve into a higher order factorial design and a statistical test for checking the validity of model assumptions is presented.
Journal ArticleDOI
Pleasure and Pain: The Effect of (Almost) Having an Orgasm on Genital and Nongenital Sensitivity
TL;DR: It is suggested that enhancing stimulation pleasurableness, psychological sexual arousal and lubrication mitigate normative increases in pain sensitivity during sexual activity, and underscore the importance of measuring both pleasure and pain in sensation research.
Journal ArticleDOI
Effects of Cooperative-Learning Interventions on Physical Education Students’ Intrinsic Motivation: A Systematic Review and Meta-Analysis
Carlos Fernández-Espínola,Manuel Tomás Abad Robles,Daniel Collado-Mateo,Bartolomé J. Almagro,Estefanía Castillo Viera,Francisco Javier Giménez Fuentes-Guerra +5 more
TL;DR: Cooperative learning interventions could be a useful teaching strategy to improve physical education students’ intrinsic motivation, but given the large heterogeneity and the low quality of the evidence, these findings must be taken with caution.
Journal ArticleDOI
Benefits of Cognitive–Behavioural Therapy for Children and Youth with Obsessive–Compulsive Disorder: Re-Examination of the Evidence:
TL;DR: Evidence from 3 studies indicates that the efficacy of CBT and medication do not differ significantly, and CBT combined with medication is significantly more efficacious than non-active controls or medication alone but not relative to CBT alone.
Journal ArticleDOI
EEG responses to emotional videos can quantitatively predict big-five personality traits
TL;DR: An EEG-based personality assessment method for quantitative evaluation of people's Big Five personality is proposed and implemented as a promising alternative to conventional personality questionnaires and shown a good reliability of the obtained results.
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.