Statistical methods for analysing discrete categorical data recorded in performance analysis
Nevill, Alan M.
Routledge - Published on behalf of the British Association of Sport and Exercise Sciences
MetadataShow full item record
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 of Sports Sciences
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.
This article was published in Journal of Sports Sciences, available at http://dx.doi.org/10.1080/026404102320675666
- Sport Research Groups