Statistical methods for analysing discrete categorical data recorded in performance analysis
Author
Nevill, Alan M.
Atkinson, Greg
Hughes, Mike
Cooper, Stephen-Mark
Date
2002-10-01Publisher
Routledge - Published on behalf of the British Association of Sport and Exercise Sciences
ISSN
0264-0414
Metadata
Show full item recordAbstract
When compiling summaries of notational analyses of sport performance, analysts have traditionally ignored the discrete nature of the indicators collected, and relied upon statistical methods predicated upon continuous, normal distributions. In this paper, we presented more appropriate statistical methods for analysing the categorical differences between indicators, such as the chi-squared test of significance and log-linear/logit models. The editor invited us to write the paper for a special edition on sport performance analysis. Cooper wrote the specific sections on the chi-squared analysis, drawing together the examples and conducting the analyses of the data. Cooper also helped edited the manuscript.
Journal/conference proceeding
Journal of Sports Sciences
Citation
Nevill, A.M., Atkinson, G., Hughes, M.D. and Cooper, S.M. (2002) 'Statistical methods for analysing discrete and categorical data recorded in performance analysis', Journal of Sports Sciences, 20(10), pp.829-844.
Description
This article was published in Journal of Sports Sciences, available at
http://dx.doi.org/10.1080/026404102320675666
Collections
- Sport Research Groups [620]