Journal ArticleDOI
Statistical Methods For Assessing Measurement Error (Reliability) in Variables Relevant to Sports Medicine
Greg Atkinson,Alan M. Nevill +1 more
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TLDR
It is recommended that sports clinicians and researchers should cite and interpret a number of statistical methods for assessing reliability and encourage the inclusion of the LOA method, especially the exploration of heteroscedasticity that is inherent in this analysis.Abstract:
Minimal measurement error (reliability) during the collection of interval- and ratio-type data is critically important to sports medicine research. The main components of measurement error are systematic bias (e.g. general learning or fatigue effects on the tests) and random error due to biological or mechanical variation. Both error components should be meaningfully quantified for the sports physician to relate the described error to judgements regarding ‘analytical goals’ (the requirements of the measurement tool for effective practical use) rather than the statistical significance of any reliability indicators.read more
Citations
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Reliability of thermal quantitative sensory testing: a systematic review.
TL;DR: In this paper, the reliability of thermal quantitative sensory testing (QST) has been evaluated using the Quality Appraisal for Reliability Studies (QA-RS) checklist.
Journal ArticleDOI
Acceleration and sprint profiles of a professional elite football team in match play
TL;DR: It was found that Norwegian elite players had substantially less number of accelerations and fewer but longer sprints than previous studies reported for higher-ranked leagues and less high-intensity activity was found towards the end of the season.
Journal ArticleDOI
Validating two systems for estimating force and power.
Blair T. Crewther,Liam P. Kilduff,Dan J. Cunningham,Christian J. Cook,Nick J Owen,Guang-Zhong Yang +5 more
TL;DR: The estimation of PF and PP by a linear position transducer and accelerometer showed moderate to strong relative validity and equivalent absolute validity, but these estimates are limited by the presence of bias and large random errors.
Journal ArticleDOI
Twenty-five years of sport performance research in the Journal of Sports Sciences.
TL;DR: Key high-impact manuscripts are discussed, providing readers with some insight into what might lead an article to become a citation “classic”, and landmark articles in the areas of “science and football” and “notation analysis” are highlighted, providing further insight into how such articles have contributed to the development of sport performance research in general and the Journal of Sports Sciences in particular.
Journal ArticleDOI
How big does my sample need to be? A primer on the murky world of sample size estimation
Alan M. Batterham,Greg Atkinson +1 more
TL;DR: In this article, the authors present a primer of sample size estimation in an attempt to demystify the process and present a simplified, example "dialogue" to illustrate the decision-making process involved in assigning appropriate parameter values to arrive at a ballpark figure for required sample size.
References
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Journal ArticleDOI
Statistical methods for assessing agreement between two methods of clinical measurement.
TL;DR: An alternative approach, based on graphical techniques and simple calculations, is described, together with the relation between this analysis and the assessment of repeatability.
Book
Practical statistics for medical research
TL;DR: Practical Statistics for Medical Research is a problem-based text for medical researchers, medical students, and others in the medical arena who need to use statistics but have no specialized mathematics background.
Journal ArticleDOI
Statistical methods for assessing agreement between two methods of clinical measurement
TL;DR: In this article, an alternative approach, based on graphical techniques and simple calculations, is described, together with the relation between this analysis and the assessment of repeatability, which is often used in clinical comparison of a new measurement technique with an established one.
Journal ArticleDOI
A concordance correlation coefficient to evaluate reproducibility.
TL;DR: A new reproducibility index is developed and studied that is simple to use and possesses desirable properties and the statistical properties of this estimate can be satisfactorily evaluated using an inverse hyperbolic tangent transformation.