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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The maximal accumulated oxygen deficit method: a valid and reliable measure of anaerobic capacity?
TL;DR: It is concluded that the MAOD method may have limitations as a valid and reliable measure of anaerobic capacity and needs to be further improved.
Journal ArticleDOI
Factorial invariance and latent mean stability of performance failure appraisals.
TL;DR: In this article, the temporal stability of the performance failure assessment inventory (PFAI) scores has not been established previously; however, the authors used LFI and latent growth curve (LGC) analyses to evaluate the LFI of all first-order factors on the long and short forms.
Journal ArticleDOI
Moment-generating capacity of upper limb muscles in healthy adults.
TL;DR: Differences in strength among healthy young adults are primarily a consequence of variation in muscle volume, as opposed to other factors.
Journal ArticleDOI
Lunge performance and its determinants
TL;DR: It is concluded that one to two trials were reliable for strength diagnosis and that one strength measure cannot accurately explain functional performance because other factors, such as body mass, flexibility and leg length, have diverse effects on the statistical models.
BookDOI
Biomechanical Evaluation of Movement in Sport and Exercise : The British Association of Sport and Exercise Sciences Guide
Carl J. Payton,Roger M. Bartlett +1 more
TL;DR: This chapter discusses motion analysis using video, computer simulation modelling in sport, and research Methods: Sample Size and Variability Effects on Statistical Power.
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.