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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Cognitive telerehabilitation in mild cognitive impairment, Alzheimer's disease and frontotemporal dementia: A systematic review.
Maria Cotelli,Rosa Manenti,Michela Brambilla,Elena Gobbi,Clarissa Ferrari,Giuliano Binetti,Stefano F. Cappa +6 more
TL;DR: Preliminary evidence suggesting that cognitive telerehabilitation for neurodegenerative disease may have comparable effects as conventional in-person cognitive rehabilitation is provided.
Journal ArticleDOI
RPE vs. Percentage 1RM Loading in Periodized Programs Matched for Sets and Repetitions.
Eric R. Helms,Ryan K. Byrnes,Daniel M. Cooke,Michael H. Haischer,Joseph P. Carzoli,Trevor K. Johnson,Matthew R. Cross,John B. Cronin,John B. Cronin,Adam G. Storey,Michael C. Zourdos +10 more
TL;DR: Both loading-types are effective, however, RPE-based loading may provide a small 1RM strength advantage in a majority of individuals, and 1RMG had a strength advantage of the same magnitude, and 18, 29, and 22% chances, respectively of trivial differences between groups.
Journal ArticleDOI
Comparison of Normalized Gain and Cohen's "d" for Analyzing Gains on Concept Inventories.
TL;DR: Normalized gain, commonly used to measure instructional efficacy on conceptual instruments such as the Force Concept Inventory, should be used with care as it is biased in favor of populations with higher pretest scores as mentioned in this paper.
Journal ArticleDOI
Effectiveness of virtual and augmented reality-enhanced exercise on physical activity, psychological outcomes, and physical performance: A systematic review and meta-analysis of randomized controlled trials
TL;DR: In this article, the authors investigated the effectiveness of exercise-based VR and AR training as preventive measures in improving physical activity, psychological outcomes, and physical performance of a healthy population when compared with traditional programs and no-exercise controls.
Journal ArticleDOI
A meta-analysis of the facilitation of arm flexion and extension movements as a function of stimulus valence
TL;DR: The results of the meta-analysis provide little support for the strong embodiment, specific muscle activation account of affective compatibility and are broadly consistent with distance regulation, and, in particular, evaluative coding accounts.
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.