+44 (0)1509 263171
Please use this identifier to cite or link to this item:
|Title: ||Elite players’ perceptions of football playing surfaces: a mixed effects ordinal logistic regression model of players’ perceptions|
|Authors: ||Owen, Alun|
Smith, Aimee C.
Harland, Andy R.
Roberts, Jonathan R.
Principal component analysis
|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, 44 (3), pp. 554-570.|
|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 is an Accepted Manuscript of an article published by Taylor & Francis in Journal of Applied Statistics on 02 May 2016, available online: http://dx.doi.org/10.1080/02664763.2016.1177500|
|Sponsor: ||The authors would like to thank FIFA, its member associations and FIFPro for their assistance in
|Version: ||Accepted for publication|
|Publisher Link: ||http://dx.doi.org/10.1080/02664763.2016.1177500|
|Appears in Collections:||Published Articles (Mechanical, Electrical and Manufacturing Engineering)|
Files associated with this item:
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.