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
Evaluation of group and individual change in a multidisciplinary pain management program.
TL;DR: Clinically important change analyses underscore the variability that exists in chronic pain patients and allows for a more fine grained evaluation of individual responsiveness to treatment.
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Meta-analytic review of the effects of a single dose of intranasal oxytocin on threat processing in humans.
TL;DR: A single dose of intranasal oxytocin significantly increased the physiological startle response to threat in healthy people with a small effect size and did not have significant effects on attentional bias towards social or disorder-specific threat, fixation towards threatening stimuli among healthy or clinical populations, or on threat related behavioural approach or avoidance responses.
Journal ArticleDOI
Visual input that matches the content of visual working memory requires less (not faster) evidence sampling to reach conscious access
TL;DR: The findings are discussed in light of a preactivation hypothesis, proposing that matching visual input taps into the same neural substrate that is already activated by a representation concurrently maintained in VWM, thereby reducing its threshold for reaching visual awareness.
Journal ArticleDOI
The role of practice and strategy in mental rotation training: transfer and maintenance effects
TL;DR: The results showed short-term benefits and maintenance effects in the MR and the S + MR groups in terms of their accuracy in both the MR tasks considered (a 3D same/different task, and the Mental Rotations Test).
Journal ArticleDOI
An Examination of an Online Tutoring Program's Impact on Low-Achieving Middle School Students' Mathematics Achievement.
TL;DR: The findings suggest that the tutoring contributed to statistically significant gains in student assessment scores postintervention and student perceptions of the online tutoring were predominately positive in nature.
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.