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Journal ArticleDOI

Statistical Methods For Assessing Measurement Error (Reliability) in Variables Relevant to Sports Medicine

Greg Atkinson, +1 more
- 01 Oct 1998 - 
- Vol. 26, Iss: 4, pp 217-238
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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.

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Citations
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Journal ArticleDOI

Measures of reliability in sports medicine and science.

TL;DR: A wider understanding of reliability and adoption of the typical error as the standard measure of reliability would improve the assessment of tests and equipment in the authors' disciplines.
Journal ArticleDOI

Quantifying test-retest reliability using the intraclass correlation coefficient and the SEM.

TL;DR: In this review, the basics of classic reliability theory are addressed in the context of choosing and interpreting an ICC and how the SEM and its variants can be used to construct confidence intervals for individual scores and to determine the minimal difference needed to be exhibited for one to be confident that a true change in performance of an individual has occurred.
Journal ArticleDOI

Match performance of high-standard soccer players with special reference to development of fatigue

TL;DR: Top-class soccer players performed more high-intensity running during a game and were better at the Yo-Yo test than moderate professional players; fatigue occurred towards the end of matches as well as temporarily during the game, independently of competitive standard and of team position; defenders covered a shorter distance in high- intensity running than players in other playing positions.
Journal ArticleDOI

The International Physical Activity Questionnaire (IPAQ): a study of concurrent and construct validity.

TL;DR: The long, self-administered IPAQ questionnaire has acceptable validity when assessing levels and patterns of PA in healthy adults and might introduce a source of error in criterion validation studies.
Journal ArticleDOI

An Introduction to Medical Statistics

M. Greenwood
- 01 Feb 1932 - 
TL;DR: It is scarcely an exaggeration to say that the recently issued preliminary report on the census of 1931 is one of the most sensational documents which has appeared for years, and that he who reads it intelligently will understand what is meant by saying that civilisation is in the melting pot.
References
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Journal ArticleDOI

Measurement in Medicine: The Analysis of Method Comparison Studies

Douglas G. Altman, +1 more
- 01 Sep 1983 - 
TL;DR: This paper shall describe what is usually done, show why this is inappropriate, suggest a better approach, and ask why such studies are done so badly.
Journal ArticleDOI

Analysis of serial measurements in medical research.

TL;DR: Use of summary measures to analyse serial measurements, though not new, is potentially a useful and simple tool in medical research.
Journal ArticleDOI

Comparing methods of measurement: why plotting difference against standard method is misleading

TL;DR: A plot of the difference against the average of the standard and new measurements is unlikely to mislead in this way and is shown theoretically and by a practical example.
Book

An Introduction to Medical Statistics

Martin Bland
TL;DR: The design of experiments, analysis of the means of small samples using the t-c Distribution, and selection of the statistical method for clinical measurement and the structure of human populations are reviewed.
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