The relationship between performance and flow state in tennis competition

Journal of Sports Medicine and Physical Fitness

Volumn 52, Issue 4, 2012, Pages 437-447

  Koehn, S ^a   Morris, T ^b  

^a University of Bath   (United Kingdom)

^b VICTORIA UNIVERSITY   (Australia)

Author keywords

Athletic performance; Models; Psychological adolescent

Indexed keywords

ADOLESCENT; ARTICLE; ATHLETIC PERFORMANCE; ATTENTION; AWARENESS; CHILD; CONSCIOUSNESS; EMOTION; HUMAN; MALE; MOTIVATION; PSYCHOLOGICAL ASPECT; QUESTIONNAIRE; TENNIS;

ADOLESCENT; ATHLETIC PERFORMANCE; ATTENTION; AWARENESS; CHILD; CONSCIOUSNESS; EMOTIONS; GOALS; HUMANS; MALE; QUESTIONNAIRES; TENNIS;

EID: 84867055427     PISSN: 00224707     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (31)

1. Csikszentmihalyi M. Beyond boredom and anxiety. San Francisco, CA: Jossey-Bass Publishers; 1975.
2. Jackson SA. Factors influencing the occurrence of flow state in elite athletes. Journal of Applied Sport Psychology 1995;7:138-66.
3. Jackson SA, Csikszentmihalyi M. Flow in sports. Champaign, IL: Human Kinetics; 1999.
4. Russell WD. An examination of flow state occurrence in college athletes. Journal of Sport Behavior 2001;24:83-107.
5. Csikszentmihalyi M. Introduction. In Csikszentmihalyi M, Csikszentmihalyi IS, editors. Optimal experience: Psychological studies of flow in consciousness (pp. 3-14). New York, NY: Cambridge University Press; 1988. p. 3-14.
6. Privette G. Peak performance in sports: A factorial topology. International Journal of Sport Psychology 1982;13:242-49.
7. Privette G. Peak experience, peak performance, and flow: A comparative analysis of positive human experience. Journal of Personality and Social Psychology 1983;6:1361-68.
8. Jackson SA, Roberts GC. Positive performance states of athletes: Toward a conceptual understanding of peak performance. The Sport Psychologist 1992;6:156-71.
9. Jackson SA, Wrigley WJ. Optimal experience in sport: Current issues & future directions. In Morris T, Summers J, editors. Sport Psychology: Theory, Applications and Issues (2nd ed.). Brisbane, Australia: John Wiley & Sons; 2004. p. 423-51.
10. Csikszentmihalyi M. The evolving self: A psychology for the third millennium. New York, NY: Harper Perennial; 1993.
11. Privette G, Bundrick C. Measurement of experience: Construct and content validity of the Experience Questionnaire. Perceptual and Motor Skills 1987;65:315-32.
12. Privette G, Bundrick C. Psychological processes of peak, average, and failing performance in sport. International Journal of Sport Psychology 1997;28:323-34. (Pubitemid 127170726)
13. Massimini F, Csikszentmihalyi M, Fave AD. Flow in biocultural evolution. InCsikszentmihalyi M, Csikszentmihalyi IS, editors. Optimal experience: Psychological studies of flow in consciousness. New York: Cambridge University Press; 1988. p. 60-84.
14. Young JA. Professional tennis players in the zone. In Haake SJ, Coe A, editors. Tennis science & technology. Maiden, MA: Blackwell Science; 2000. p. 417-22.
15. Stavrou NA, Zervas Y. Confirmatory factor analysis of the flow state scale in sports. International Journal of Sport & Exercise Psychology 2004;2:161-81.
16. Jackson SA, Thomas PR, Marsh, HW, Smethurst CJ. Relationship between flow, self-concept, psychological skills, and performance. Journal of Applied Sport Psychology 2001;13:129-53.
17. Jackson SA, Eklund RC. Assessing flow in physical activity: The Flow State Scale-2 and Dispositional Flow Scale-2. Journal of Sport and Exercise Psychology 2002;24: 133-50. (Pubitemid 37001655)
18. Kimiecik JC, Stein GL. Examining flow experiences in sport contexts: Conceptual issues and methodological concerns. Journal of Applied Sport Psychology 1992;4:144-60.
19. Arbuckle JL, Wothke W. AMOS 7.0 user's guide. Chicago, IL: SPSS; 2006.
20. Hu L, Bentler RM. Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods 1998:3:424-53. (Pubitemid 128459636)
21. Marsh HW, Baila JR, McDonald RP. Goodness-of-fit indexes in confirmatory factor analysis: The effect of sample size. Psychological Bulletin 1988;3:391-410.
22. Byrne B. Structural Equation Modeling with Amos: Basic concepts, applications, and programming (2nd ed.). New York, NY: Routledge; 2010.
23. Hair JF Jr, Black WC, Babin BJ, Anderson RE. Multivariate data analysis: A global perspective (7th ed.). New Jersey: Pearson; 2010.
24. Nunally JC. Psychometric theory (2nd ed.). New York: McGrawHill; 1978.
25. West SG, Finch JF, Curran PJ. Structural equation models with non-normal variables: Problems and remedies. In Hoyle R, editor. Structural Equation Modeling: Concepts, issues and applications. Newbury Park, CA: Sage; 1995. p. 56-75.
26. Pedhazur EJ. Multiple regression in behavioral research. New York: Holt, Rinehart, & Winston; 1982.
27. Tabachnick BG, Fidell LS. Using multivariate statistics (5th ed.). Boston: Pearson; 2007.
28. Moran AP. Sport and exercise psychology: A critical introduction. New York: Routledge; 2004.
29. Wegner DM. Ironic processes of mental control. Psychological Review 1994;101:34-52. (Pubitemid 24976785)
30. Brewer BW, Van Raalte JL, Linder DE, Van Raalte NS. Peak performance and the perils of retrospective introspection. Journal of Sport & Exercise Psychology 1991; 8:227-38.
31. Jackson SA, Martin AJ, Eklund RC. Long and short measures of flow: The construct validity of the FSS-2, DFS-2, and new brief counterparts. Journal of Sport & Exercise Psychology 2008;30:561-87.