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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/21662

Title: Elite players’ perceptions of football playing surfaces: a mixed effects ordinal logistic regression model of players’ perceptions
Authors: Owen, A.
Smith, Aimee C.
Osei-Owusu, Paul
Harland, Andy R.
Roberts, Jonathan R.
Keywords: Soccer
Natural grass
Artificial turf
Principal component analysis
Sport
Issue Date: 2016
Publisher: © Taylor and Francis
Citation: OWEN, A. ... et al, 2016. Elite players’ perceptions of football playing surfaces: a mixed effects ordinal logistic regression model of players’ perceptions. Journal of Applied Statistics, DOI:10.1080/02664763.2016.1177500
Abstract: The aim of this study was to determine potential explanatory factors that may be associated with different attitudes amongst the global population of elite footballers to the use of different surfaces for football. A questionnaire was used to capture elite football players’ perceptions of playing surfaces and a mixed effects ordinal logistic regression model was used to explore potential explanatory factors of players’ perceptions. In total, responses from 1129 players from 44 different countries were analysed. The majority of players expressed a strong preference for the use of Natural Turf pitches over alternatives such as Artificial Turf. The regression model, with a players’ country as a random effect, indicated that players were less favourable towards either Natural Turf or Artificial Turf where there was perceived to be greater variability in surface qualities or the surface was perceived to have less desirable properties. Player’s surface experience was also linked to their overall attitudes, with a suggestion that the quality of the Natural Turf surface players experienced dictated players’ support for Artificial Turf.
Description: This paper is embargoed until June 2017.
Sponsor: The authors would like to thank FIFA, its member associations and FIFPro for their assistance in this project.
Version: Accepted for publication
DOI: 10.1080/02664763.2016.1177500
URI: https://dspace.lboro.ac.uk/2134/21662
Publisher Link: http://dx.doi.org/10.1080/02664763.2016.1177500
ISSN: 0266-4763
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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