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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Stimulant Medications and Sleep for Youth With ADHD: A Meta-analysis
TL;DR: Stimulant medication led to longer sleep latency, worse sleep efficiency, and shorter sleep duration, and overall, youth had worse sleep on stimulant medications.
Journal ArticleDOI
Confidence interval estimation for standardized effect sizes in multilevel and latent growth modeling.
TL;DR: Investigators reporting this increasingly popular effect size can estimate its confidence interval with equations presented, and the equivalence of the 2 new CI estimation methods was demonstrated.
Journal ArticleDOI
Intensity thresholds for aerobic exercise-induced hypoalgesia.
TL;DR: These results suggest that MAE is capable of producing a hypoalgesic effect using continuous and repetitive pulse heat stimuli, however, a dose-response effect was evident as VAE produced larger effects than MAE.
Journal ArticleDOI
Crowdsourcing hypothesis tests: Making transparent how design choices shape research results
Justin F. Landy,Miaolei Liam Jia,Isabel L. Ding,Domenico Viganola,Warren Tierney,Anna Dreber,Magnus Johannesson,Thomas Pfeiffer,Charles R. Ebersole,Quentin Frederik Gronau,Alexander Ly,Don van den Bergh,Maarten Marsman,Koen Derks,Eric-Jan Wagenmakers,Andrew Proctor,Daniel M. Bartels,Christopher W. Bauman,William J. Brady,Felix Cheung,Andrei Cimpian,Simone Dohle,M. Brent Donnellan,Adam Hahn,Michael P. Hall,William Jiménez-Leal,David J. Johnson,Richard E. Lucas,Benoît Monin,Andres Montealegre,Elizabeth Mullen,Jun Pang,Jennifer L. Ray,Diego A. Reinero,Jesse Reynolds,Walter Sowden,Daniel Storage,Runkun Su,Christina M. Tworek,Jay J. Van Bavel,Daniel Walco,Julian Wills,Xiaobing Xu,Kai Chi Yam,Xiaoyu Yang,William A. Cunningham,Martin Schweinsberg,Molly Urwitz,Eric Luis Uhlmann +48 more
TL;DR: Crowdsourced testing of research hypotheses helps reveal the true consistency of empirical support for a scientific claim.
Journal ArticleDOI
The influence of pathological narcissism on emotional and motivational responses to negative events: The roles of visibility and concern about humiliation
Avi Besser,Virgil Zeigler-Hill +1 more
TL;DR: The authors examined the associations between pathological forms of narcissism and responses to scenarios describing private or public negative events using a randomized two-wave experimental design with 600 community participants and found that pathological narcissism may promote maladaptive responses to negative events that occur in private (vulnerable narcissism) or public (grandiose narcissism).
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.