International Association of Educators   |  ISSN: 2834-7919   |  e-ISSN: 1554-5210
International Journal of Progressive Education
International Association of Educators

Original article | International Journal of Progressive Education 2019, Vol. 15(3) 169-179

Physically Active Leisure Participants Segmentation: PCM Stage-Based Investigation

Ersin Eskiler

pp. 169 - 179   |  DOI: https://doi.org/10.29329/ijpe.2019.193.12   |  Manu. Number: MANU-1902-04-0003

Published online: June 03, 2019  |   Number of Views: 324  |  Number of Download: 982

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Abstract

Recent recreation and sports marketing research demonstrates that involvement can be used as a new segmentation strategy and offers potential opportunities for better understanding of leisure participants. In the current study, the three-step the Psychological Continuum Model (PCM) segmentation procedure was performed for participant segmentation by using physically active leisure involvement profiles. This study consisted of 561 (nmale=321 and nfemale=240) physically active leisure participants and three involvement facets of hedonic value, centrality and symbolic value were conducted to segment participants. Confirmatory factor analysis, the Pearson correlation coefficient and multivariate analysis of variance were used for data analysis. Our findings showed that a significant majority of the participants were allocated to the attraction stage (n = 306, 54.5%) and awareness (n = 106, 18.9%), attachment (n = 104, 18.5%) and allegiance (n = 45, 8%), respectively. Consequently, the segmentation revealed that differences in attitudes from awareness to attraction, attachment and allegiance stages, become strengthened among physically active leisure participants.  Thus, this information can be used to better understand the leisure activity participation habits of students for marketers-practitioners.

Keywords: Campus recreation; Segmentation; PCM stage; Leisure activity

How to Cite this Article?

APA 6th edition
Eskiler, E. (2019). Physically Active Leisure Participants Segmentation: PCM Stage-Based Investigation . International Journal of Progressive Education, 15(3), 169-179. doi: 10.29329/ijpe.2019.193.12

Harvard
Eskiler, E. (2019). Physically Active Leisure Participants Segmentation: PCM Stage-Based Investigation . International Journal of Progressive Education, 15(3), pp. 169-179.

Chicago 16th edition
Eskiler, Ersin (2019). "Physically Active Leisure Participants Segmentation: PCM Stage-Based Investigation ". International Journal of Progressive Education 15 (3):169-179. doi:10.29329/ijpe.2019.193.12.
References
  1. Alexandris, K. (2013). Segmenting recreational tennis players according to their involvement level: a psychographic profile based on constraints and motivation. Managing Leisure, 18(3), 179-193. [Google Scholar]
  2. Alexandris, K., Douka, S., & Balaska, P. (2011). Involvement with active leisure participation: Does service quality have a role? Managing Leisure: An International Journal, 17(1), 54–67. [Google Scholar]
  3. Atasever, M. (2018). Sağlık Almanak 2003-2017: Türkiye Sağlık Sisteminde Yaşanan Gelişmeler 2003 -2017. e-Book.  [Google Scholar]
  4. Beaton, A. A., & Funk, D. C. (2008) An Evaluation of theoretical frameworks for studying physically active leisure. Leisure Sciences, 30(1), 53-70. [Google Scholar]
  5. Beaton, A. A., Funk, D. C., & Alexandris, K. (2009). Operationalizing a theory of participation in physically active leisure. Journal of Leisure Research, 41(2), 175-203. [Google Scholar]
  6. Beaton, A.A., Funk, D.C., Ridinger, L. & Jordan, J. (2011). Sport involvement: A conceptual and empirical analysis. Sport Management Review, 14, 126-140. [Google Scholar]
  7. Belch, H. A., Gebel, M., & Maas, G. M. (2001). Relationship between student recreation complex use, academic performance, and persistence of first-time freshmen. NASPA Journal, 38(2), 254-268. [Google Scholar]
  8. Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of cross-cultural psychology, 1(3), 185-216. [Google Scholar]
  9. Bulut, S. (2013). A social determinants of health, physical activity. Turkish Bulletin of Hygiene & Experimental Biology, 70(4), 205-214. [Google Scholar]
  10. de Groot M., & Robinson T. (2008). Sport fan attachment and the psychological continuum model: A case study of an Australian football league fan. Leisure/Loisir, 32(1), 117-138. [Google Scholar]
  11. Doyle, J.P., Kunkel, T., & Funk, D.C. (2013). Sports spectator segmentation: Examining the differing psychological connections among spectators of leagues and teams. International Journal of Sports Marketing and Sponsorship, 14(2), 20-36. [Google Scholar]
  12. Filo, K., Chen, N., King, C., & Funk, D. C. (2013). Sport tourists’ involvement with a destination: A stage-based examination. Journal of Hospitality & Tourism Research, 37(1), 100-124. [Google Scholar]
  13. Funk, D. C., & James, J. (2001). The psychological continuum model: A conceptual framework for understanding an individual's psychological connection to sport. Sport management review, 4(2), 119-150. [Google Scholar]
  14. Funk, D. C., & James, J. D. (2006). Consumer loyalty: The meaning of attachment in the development of sport team allegiance. Journal of Sport Management, 20(2), 189-217. [Google Scholar]
  15. Funk, D. C., Alexandris, K., & McDonald, H. (2016). Sport Consumer Behaviour: Marketing Strategies. New York, NY: Routledge. [Google Scholar]
  16. Funk, D., Alexandris, K., & McDonald, H. (2008). Consumer behaviour in sport and events. London: Routledge. [Google Scholar]
  17. Funk, D.C., Beaton, A.A. & Pritchard, M.P. (2011) The stage-based development of physically active leisure: A recreational golf context. Journal of Leisure Research, 43, 268-289. [Google Scholar]
  18. Gobster, P.H. (2005). Recreation and leisure research from an active living perspective: Taking a second look at urban trail use data. Leisure Sciences, 27(5), 367–383. [Google Scholar]
  19. Hair, J., Black, W., Babin, B., & Anderson, R. (2009). Multivariate Data Analysis (7th edition). Upper Saddle River, N.J.: Prentice Hall. [Google Scholar]
  20. Havitz, M. E., & Dimanche, F. (1997). Leisure involvement revisited: Conceptual conundrums and measurement advances. Journal of leisure research, 29(3), 245-278. [Google Scholar]
  21. Howes, F. S., Doyle, J. L., Jackson, N. W., & Waters, E. (2003). Interventions implemented through sporting organisations for increasing participation in sport. Cochrane Database of Systematic Reviews, available at https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD004812/epdf/full. (accessed on 20.November.2018). [Google Scholar]
  22. Huesman Jr, R., Brown, A. K., Lee, G., Kellogg, J. P., & Radcliffe, P. M. (2009). Gym bags and mortarboards: Is use of campus recreation facilities related to student success?. NASPA Journal, 46(1), 50-71. [Google Scholar]
  23. Hurd, A. R., & Forrester, S. A. (2006). Constraints to participation in campus recreational services. Physical & Health Education Journal, 72(3), 18-21. [Google Scholar]
  24. Jackson, N. W., Howes, F. S., Gupta, S., Doyle, J., & Waters, E. (2005). Interventions implemented through sporting organizations for increasing participation in sport. Cochrane Database of Systematic Reviews, (2), available at https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD004812.pub2/epdf/full(accessed on 20.November.2018). [Google Scholar]
  25. Kahraman, G., Çolak, E., Bayazıt, B., & Yılmaz, O. (2017). The examination of factors affecting high school students to participate in recreational activities. İstanbul Üniversitesi Spor Bilimleri Dergisi, 7(1), 28-40. [Google Scholar]
  26. Kaltenbaugh, L. P., Molnar, J. C., Bonadio, W. N., Divito, K., & Roeder, J. (2011). Impact of marketing strategies on campus recreational sports departments. Recreational Sports Journal, 35(2), 86-94. [Google Scholar]
  27. Karaküçük, S. (1999). Rekreasyon-Boş Zamanları Değerlendirme. Ankara: Gazi Kitabevi. [Google Scholar]
  28. Kotler, P. (2000). Marketing Management Millenium Edition, Tenth Edition. NJ: Prentice-Hall, Inc. [Google Scholar]
  29. Kuh, G. D., Buckley, J. A., & Kinzie, J. (2007). Piecing together the student success puzzle: Research, propositions, and recommendations. ASHE Higher Education Report, 32(5), 1-182. [Google Scholar]
  30. Kuş Şahin, C., Akten, S., & Erol, U. E. (2009). A study to determine recreational participation tendency of the eğirdir vocational school students. Artvin Çoruh University Faculty of Forestry Journal, 10(1), 62-71. [Google Scholar]
  31. Kyle, G. T., & Mowen, A. J. (2005). An examination of the leisure involvement-Agency commitment relationship. Journal of Leisure Research, 37(3), 342-363. [Google Scholar]
  32. Kyle, G. T., Kerstetter, D. L., & Guadagnolo, F. B. (2002). Market segmentation using participant involvement profiles. Journal of Park & Recreation Administration, 20(1), 1-21. [Google Scholar]
  33. Noar, S. M. (2003). The role of structural equation modeling in scale development. Structural Equation Modeling, 10(4), 622-647. [Google Scholar]
  34. Pallant, J. (2015). SPSS survival manual. (6th Edition). NY: McGraw Hill. [Google Scholar]
  35. Perreault Jr. W.D., Cannon J.P. & McCarthy E.J. (2012). Essentials of marketing: A marketing strategy planning approach (13th ed.). New York NY. McGraw Hill. [Google Scholar]
  36. Priest, N., Armstrong, R., Doyle, J., & Waters, E. (2008). Interventions implemented through sporting organisations for increasing participation in sport. Cochrane Database of Systematic Reviews, (3), available at https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD004812.pub3/epdf/full(accessed on 20.November.2018). [Google Scholar]
  37. Stankowski, C. L., Trauntvein, N. E., & Hall, S. L. (2017). I use the student recreation center, but I would use it more if: Understanding male and female constraints to student recreation center use. Recreational Sports Journal, 41(1), 55-66. [Google Scholar]
  38. Stebbins, R.A. (1982), Serious leisure: A conceptual statement. The Pacific Sociological Review, 25(2), 251-272. [Google Scholar]
  39. van Sluijs, E. M., van Poppel, M. N., Twisk, J. W., Chin A Paw, M. J., Calfas, K. J., & Van Mechelen, W. (2005). Effect of a tailored physical activity intervention delivered in general practice settings: results of a randomized controlled trial. American Journal of Public Health, 95(10), 1825-1831. [Google Scholar]
  40. Watson, J. C., Ayers, S. F., Zizzi, S., & Naoi, A. (2006). Student recreation centers: A comparison of users and non-users on psychosocial variables. Recreational Sports Journal, 30(1), 9-19. [Google Scholar]
  41. WHO, The World Health Report: 2003-Shaping the future. World Health Organization, Geneva 2003, 3-40. [Google Scholar]
  42. Young, S. J., Ross, C. M., & Barcelona, R. J. (2003). Perceived constraints by college students to participation in campus recreational sports programs. Recreational Sports Journal, 27(2), 47-62. [Google Scholar]
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