654
Views
15
CrossRef citations to date
0
Altmetric
Original Articles

Segmenting recreational tennis players according to their involvement level: a psychographic profile based on constraints and motivation

Pages 179-193 | Received 01 Oct 2011, Accepted 01 Jun 2012, Published online: 16 May 2013
 

Abstract

The present study uses involvement as a segmentation variable for recreational tennis players, and further profiles the involvement groups with demographic (gender, age, family status, type of job, perceived economic status and education) and psychographic (perceived constraints and motivation) variables. Two hundred recreational tennis players (N = 200), who were members of a private tennis club participated in the study, and filled the Leisure Involvement Scale, the Leisure Constraints Scale and the Sport Motivation Scale. The results of the cluster analysis revealed a high and a low involved group, who significantly differed in all the involvement facets. The demographic variables were not found to be useful in further profiling the two involvement groups, since no statistically significant differences were found between the two involvement groups in the demographic variables. In contrast, the two involvement groups were found to have statistically significant differences in three of the constraints scales (individual/psychological, lack of time and facilities) and all the motivation dimensions. Low involved individuals were shown to perceive higher levels of intrapersonal constraints, lower levels of intrinsic and extrinsic motivation and higher levels of amotivation.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 689.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.