Journal ArticleDOI
Reproducible research in sport and exercise psychology: The role of sample sizes
Geoffrey Schweizer,Philip Furley +1 more
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In this paper, the authors focus on the impact of sample sizes on the crisis of confidence in sport and exercise psychology by assessing sample sizes of four leading journals, and conduct power analysis.About:
This article is published in Psychology of Sport and Exercise.The article was published on 2016-03-01. It has received 118 citations till now. The article focuses on the topics: Sample size determination & Psychological research.read more
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A solution to minimum sample size for regressions
TL;DR: A minimum N = 8 is informative given very little variance, but minimum N ≥ 25 is required for more variance, and alternative models are better compared using information theory indices such as AIC but not R2 or adjusted R2.
Journal ArticleDOI
Sample size, statistical power, and false conclusions in infant looking-time research.
TL;DR: Examining the effect of sample size on statistical power and the conclusions drawn from infant looking time research revealed that despite clear results with the original large samples, the results with smaller subsamples were highly variable, yielding both false positive and false negative outcomes.
Journal ArticleDOI
Mindfulness and acceptance approaches to sporting performance enhancement: a systematic review
TL;DR: In this article, mindfulness and experiential acceptance approaches have been suggested as a method of promoting athletic performance by optimally managing the interplay among attention, cognition, and memory.
Journal ArticleDOI
Development and initial validation of the Life Skills Scale for Sport
Lorcan Cronin,Justine Allen +1 more
TL;DR: The Life Skills Scale for Sport (LSSS) as mentioned in this paper is a measure of life skills development through sport, which was developed to assess participants' perceived life skills through sport.
References
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Book
Statistical Power Analysis for the Behavioral Sciences
TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Journal ArticleDOI
G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences
TL;DR: G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested.
Journal ArticleDOI
A power primer.
TL;DR: A convenient, although not comprehensive, presentation of required sample sizes is providedHere the sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests.
Journal ArticleDOI
Power failure: why small sample size undermines the reliability of neuroscience
Katherine S. Button,John P. A. Ioannidis,Claire Mokrysz,Brian A. Nosek,Jonathan Flint,Emma S J Robinson,Marcus R. Munafò +6 more
TL;DR: It is shown that the average statistical power of studies in the neurosciences is very low, and the consequences include overestimates of effect size and low reproducibility of results.
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