The role of teammate relationships, communication and self-efficacy in predicting athlete flow experience

References

• Aherne, C., Moran, A. P., & Lonsdale, C. (2011). The effect of mindfulness training on athletes’ flow: An initial investigation. The Sport Psychologist, 25, 177–189.
   Web of Science ®Google Scholar
• Alvaro, C., Lyons, R. F., Warner, G., Hobfoll, S. E., Martens, P. J., Labonté, R., & Brown, R. E. (2010). Conservation of resources theory and research use in health systems. Implementation Science; IS, 5(79), 79. http://dx.doi.org/10.1186/1748-5908-5-79 PMID:20961445
   PubMedGoogle Scholar
• Bakker, A. B., & Demerouti, E. (2007). The job demands- resources model: State of the art. Journal of Managerial Psychology, 22(3), 309–328. http://dx.doi.org/10.1108/02683940710733115
   Google Scholar
• Bakker, A. B., Demerouti, E., Taris, T., Schaufeli, W. B., & Schreurs, P. (2003). A multi-group analysis of the Job Demands-Resources model in four home care organizations. International Journal of Stress Management, 10(1), 16–38. http://dx.doi.org/10.1037/1072-5245.10.1.16
   Google Scholar
• Barker, J. B., Jones, M. V., & Greenlees, I. (2013). Using hypnosis to enhance self-efficacy in sport performers. Journal of Clinical Sport Psychology, 7, 228–247.
   Google Scholar
• Bruner, M. W., Munroe-Chandler, K. J., & Spink, K. S. (2008).
   Google Scholar
• Entry into elite sport: A preliminary investigation into the transition experiences of rookie athletes. Journal of Applied Sport Psychology, 20(2), 236–252. http://dx.doi. org/10.1080/10413200701867745
   Web of Science ®Google Scholar
• Carter, L., River, B., & Sachs, M. L. (2013). Flow in sport, exercise, and performance: A review with implications for future research. Journal of Multidisciplinary Research, 5(3), 17–31.
   Google Scholar
• Choi, H., Cho, S., & Huh, J. (2013). The association between the perceived coach-athlete relationship and athletes’ basic psychological needs. Social Behavior and Personality, 41(9), 1547–1556. http://dx.doi.org/10.2224/sbp.2013.41.9.1547
   Web of Science ®Google Scholar
• Cornelissen, S., Bob, U., & Swart, K. (2011). Sport mega-events and their legacies: The 2010 FIFA World Cup. Development Southern Africa, 28(3), 305–306. http://dx.doi.org/10.1080/0376835X.2011.595988
   Web of Science ®Google Scholar
• Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York: Harper & Row.
   Google Scholar
• Csikszentmihalyi, M., & Csikszentmihalyi, I. (Eds.). (1988). Optimal experience: Psychological studies of flow in consciousness. New York: Cambridge University Press. http://dx.doi.org/10.1017/CBO9780511621956
   Google Scholar
• Csikszentmihalyi, M., & LeFevre, J. (1989, May). Optimal experience in work and leisure. Journal of Personality and Social Psychology, 56(5), 815–822. http://dx.doi.org/10.1037/0022-3514.56.5.815 PMID:2724069
   PubMed Web of Science ®Google Scholar
• Dietrich, A. (2004, December). Neurocognitive mechanisms underlying the experience of flow. Consciousness and Cognition, 13(4), 746–761. http://dx.doi.org/10.1016/j.concog.2004.07.002 PMID:15522630
   PubMed Web of Science ®Google Scholar
• Elbe, A. M., Strahler, K., Krustrup, P., Wikman, J., & Stelter, R. (2010, April). Experiencing flow in different types of physical activity intervention programs: Three randomized studies. Scandinavian Journal of Medicine & Science in Sports, 20(Suppl 1), 111–117. http://dx.doi.org/10.1111/j.1600-0838.2010.01112.x PMID:20210905
   Google Scholar
• Flores, J., Salguero, A., & Marquez, S. (2008). Goal orientations and perceptions of the motivational climate in physical education classes among Colombian students. Teaching and Teacher Education, 24(6), 1441–1449. http://dx.doi.org/10.1016/j.tate.2007.11.006
   Web of Science ®Google Scholar
• Gano-Overway, L. A., Guivernau, M., Magyar, T. M., Waldron, J. J., & Ewing, M. E. (2005). Achievement goal perspectives, perceptions of the motivational climate and sportspersonship: Individual and team effects. Psychology of Sport and Exercise, 6(2), 215–232. http://dx.doi.org/10.1016/j.psychsport.2003.11.001
   Web of Science ®Google Scholar
• Goodwin, C. J. (2009). E. W. Scripture: The application of “new psychology” methodology to athletics. In C. D. Green & L. T. BenjaminJr., (Eds.), Psychology gets in the game: Sport, mind, and behavior, 1880–1960 (pp. 78–97). Lincoln, NE: University of Nebraska Press.
   Google Scholar
• Gorgievski, M. J., & Hobfoll, S. E. (2008). Work can burn us out or fire us up: Conservation of resources in burnout and engagement. In J. R. B. Halbesleben (Ed.), Handbook of stress and burnout in health care (pp. 1–22). Hauppauge, NY: Nova Science Publishers.
   Google Scholar
• Grandey, A. A., & Cropanzano, R. (1999). The conservation of resources model applied to work-family conflict and strain. Journal of Vocational Behavior, 54(2), 350–370. http://dx.doi.org/10.1006/jvbe.1998.1666
   Web of Science ®Google Scholar
• Hakanen, J. J., Perhoniemi, R., & Toppinen-Tanner, S. (2008). Positive gain spirals at work: From job resources to work engagement, personal initiative and work-unit innovativeness. Journal of Vocational Behavior, 73(1), 78–91. http://dx.doi.org/10.1016/j.jvb.2008.01.003
   Web of Science ®Google Scholar
• Halbesleben, J. R. B., Neveu, J. P., Paustian-Underdahl, S. C., & Westman, M. (2014). Getting to the COR: Understanding the role of resources in conservation of resources theory. Journal of Management, 40(5), 1334–1364. http://dx.doi.org/10.1177/0149206314527130
   Web of Science ®Google Scholar
• Hobfoll, S. E. (1989, March). Conservation of resources. A new attempt at conceptualizing stress. The American Psychologist, 44(3), 513–524. http://dx.doi.org/10.1037/0003-066X.44.3.513 PMID:2648906
   PubMed Web of Science ®Google Scholar
• Hobfoll, S. E. (2001). Conservation of resources: A rejoinder to the commentaries. Applied Psychology, 50(3), 419–421. http://dx.doi.org/10.1111/1464-0597.00064
   Web of Science ®Google Scholar
• Hobfoll, S. E., Johnson, R. J., Ennis, N., & Jackson, A. P. (2003, March). Resource loss, resource gain, and emotional outcomes among inner city women. Journal of Personality and Social Psychology, 84(3), 632–643. http://dx.doi.org/10.1037/0022-3514.84.3.632 PMID:12635922
   PubMed Web of Science ®Google Scholar
• Hu, L. T., & Bentler, P. M. (1999). Cut-off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. http://dx.doi.org/10.1080/10705519909540118
   Web of Science ®Google Scholar
• Inghilleri, P., Riva, G., & Riva, E. (Eds.). (2014). Enabling positive change: Flow and complexity in daily experience. Berlin: De Gruyter Open.
   Google Scholar
• Jackson, S. A. (1992). Athletes in flow: A qualitative investigation of flow states in elite figure skaters. Journal of Applied Sport Psychology, 4(2), 161–180. http://dx.doi.org/10.1080/10413209208406459
   Google Scholar
• Jackson, S. A., & Eklund, R. C. (2002). Assessing flow in physical activity: The Flow State Scale-2 and the Dispositional Flow Scale-2. Journal of Sport & Exercise Psychology, 24, 133–150.
   Web of Science ®Google Scholar
• Jackson, S. A., Eklund, B., & Martin, A. (2010). The FLOW Manual: The Manual for the Flow Scales. Menlo Park, CA: Mindgarden.
   Google Scholar
• Jackson, S. A., Kimiecik, J. C., Ford, S. K., & Marsh, H. W. (1998). Psychological correlates of flow in sport. Journal of Sport & Exercise Psychology, 20, 358–378.
   Web of Science ®Google Scholar
• Jackson, S. A., & Marsh, H. W. (1996). Development and validation of a scale to measure optimal experience: The Flow State Scale. Journal of Sport & Exercise Psychology, 18, 17–35.
   Web of Science ®Google Scholar
• Jackson, S. A., Thomas, P. R., Marsh, H. W., & Smethurst, C. J. (2001). Relationships between flow, self-concept, psychological skills, and performance. Journal of Applied Sport Psychology, 13(2), 129–153. http://dx.doi.org/10.1080/104132001753149865
   Web of Science ®Google Scholar
• Jones, R. A., Mahoney, J. W., & Gucciardi, D. F. (2013). On the transition into elite rugby league: Perceptions of players and coaching staff. Sport, Exercise, and Performance Psychology. http://dx.doi.org/10.1037/spy0000013.
   Google Scholar
• Jowett, S., & Cockerill, I. M. (2003). Olympic medallists’ perspective of the athlete-coach relationship. Psychology of Sport and Exercise, 4(4), 313–331. http://dx.doi.org/10.1016/S1469-0292(02)00011-0
   Web of Science ®Google Scholar
• Judge, T. A., Locke, E. A., Durham, C. C., & Kluger, A. N. (1998, February). Dispositional effects on job and life satisfaction: The role of core evaluations. The Journal of Applied Psychology, 83(1), 17–34. http://dx.doi.org/10.1037/0021-9010.83.1.17 PMID:9494439
   Google Scholar
• Kawabata, M., & Mallett, C. J. (2011). Flow experience in physical activity: Examination of the internal structure of flow from a process-related perspective. Motivation and Emotion, 35(4), 393–402. http://dx.doi.org/10.1007/s11031-011-9221-1
   Web of Science ®Google Scholar
• Kimiecik, J., & Harris, A. T. (1996). What is enjoyment? A conceptual/definitional analysis with implications for sport and exercise psychology. Journal of Sport & Exercise Psychology, 18, 247–263.
   Web of Science ®Google Scholar
• Kline, R. B. (2010). Principles and practice of structural equation modeling. New York: The Guilford Press.
   Google Scholar
• Levermore, K., & Beacom, A. (2009). Sport and international development. Basingstoke: Palgrave McMillan.
   Google Scholar
• Lindsay, P., Maynard, I., & Thomas, O. (2005). Effects of hypnosis on flow states and cycling performance. The Sport Psychologist, 19, 164–177.
   Web of Science ®Google Scholar
• Luszczynska, A., Scholz, U., & Schwarzer, R. (2005, September). The general self-efficacy scale: Multicultural validation studies. The Journal of Psychology, 139(5), 439–457. http://dx.doi.org/10.3200/JRLP.139.5.439-457 PMID:16285214
   Google Scholar
• Moneta, G. B. (2012). On the measurement and conceptualization of flow. In S. Engeser (Ed.), Advances in flow research (pp. 23–50). New York: Springer. http://dx.doi. org/10.1007/978-1-4614-2359-1_2
   Google Scholar
• Moreno, J. A., Cervelló, E., & González-Cutre, D. (2010). The achievement goal and self-determination theories as predictors of dispositional flow in young athletes. Anales de Psicología, 26(2), 390–399.
   Web of Science ®Google Scholar
• Muthén, L. K., & Muthén, B. O. (1998-2014). Mplus user's guide (7th ed.). Los Angeles: Muthén & Muthén.
   Google Scholar
• Pates, J., & Maynard, I. (2000, December). Effects of hypnosis on flow states and golf performance. Perceptual and Motor Skills, 91(3 Pt 2), 1057–1075. http://dx.doi.org/10.2466/pms.2000.91.3f.1057 PMID:11219648
   PubMed Web of Science ®Google Scholar
• Peifer, C., Schulz, A., Schächinger, H., Bauman, N., & Antoni, C. H. (2014). The relation of flow experience and physiological arousal under stress – can you shape it? Journal of Experimental Social Psychology, 52, 1–8.
   Google Scholar
• Pensgaard, A. M., & Roberts, G. C. (2002, February). Elite athletes’ experiences of the motivational climate: The coach matters. Scandinavian Journal of Medicine & Science in Sports, 12(1), 54–59. http://dx.doi.org/10.1034/j.1600-0838.2002.120110.x PMID:11985767
   PubMed Web of Science ®Google Scholar
• Pummell, B., Harwood, C., & Lavallee, D. (2008). Jumping to the next level: A qualitative examination of within-career transition in adolescent event riders. Psychology of Sport and Exercise, 9(4), 427–447. http://dx.doi.org/10.1016/j.psychsport.2007.07.004
   Web of Science ®Google Scholar
• Raykov, T. (2009). Evaluation of scale reliability for unidimensional measures using latent variable modeling. Measurement & Evaluation in Counseling & Development, 42(3), 223–232. http://dx.doi.org/10.1177/0748175609344096
   Web of Science ®Google Scholar
• Robinson, L. (2003). The business of sport. In B. Houlihan (Ed.), Sport & society: A student introduction (pp. 165–183). London: Sage.
   Google Scholar
• Salkind, N. J. (2009). Exploring research (7th ed.). Englewood Cliffs, NJ: Pearson Prentice.
   Google Scholar
• Savalei, V., & Rhemtulla, M. (2013, May). The performance of robust test statistics with categorical data. British Journal of Mathematical & Statistical Psychology, 66(2), 201–223. http://dx.doi.org/10.1111/j.2044-8317.2012.02049.x PMID:22568535
   PubMed Web of Science ®Google Scholar
• Shaughnessy, J. J., Zechmeister, E. B., & Zechmeister, J. S. (2009). Research methods in psychology (8th ed.). New York: McGraw-Hill.
   Google Scholar
• Shelangoski, B. L., Hambrick, M. E., Gross, J. P., & Weber, J. D. (2014). Self-efficacy in intercollegiate athletes. Journal of Issues in Intercollegiate Athletics, 7, 17–42.
   Google Scholar
• Shernoff, D. J., Abdi, B., Anderson, B., & Csikszentmihalyi, M. (2014). Flow in schools revisited: Cultivating engaged learners and optimal learning environments. In M. J. Furlong, R. C. Gilman, & E. S. Heubner (Eds.), Handbook of positive psychology in schools (2nd ed., pp. 131–145). New York: Routledge.
   Google Scholar
• Stander, F. W. S., & Mostert, K. (2013). Assessing the organisational and individual strengths use and deficit improvement amongst sport coaches. SA Journal of Industrial Psychology/SA Tydskrif vir Bedryfsielkunde, 39(2), 1–13.
   Google Scholar
• Stavrou, N. A., Jackson, S. A., Zervas, Y., & Karteroliotis, K. (2007). Flow experience and athletes’ performance with reference to the orthogonal model of flow. The Sport Psychologist, 21, 438–457.
   Web of Science ®Google Scholar
• Tenenbaum, G., Fogarty, G. J., & Jackson, S. A. (1999). The flow experience: A Rasch analysis of Jackson's Flow State Scale. Journal of Outcome Measurement, 3(3), 278–294. PMID:10431494
   PubMedGoogle Scholar
• Van de Schoot, R., Lugtig, P., & Hox, J. (2012). A checklist for testing measurement invariance. European Journal of Developmental Psychology, 9(4), 486–492. http://dx.doi.org/10.1080/17405629.2012.686740
   Web of Science ®Google Scholar
• Van den Heuvel, M., Demerouti, E., Schaufeli, W. B., & Bakker, A. B. (2010). Personal resources and work engagement in the face of change. In J. Houdmont (Ed.), Occupational health psychology, European perspectives on research, education and practice (Vol. 4, pp. 124–150). Chichester: John Wiley & Sons. http://dx.doi.org/10.1002/9780470661550.ch7
   Google Scholar
• Van Veldhoven, M., Meijman, T. F., Broersen, J. P. J., & Fortuin, R. J. (1997). Handleiding VBBA: Onderzoek naar de beleving van psychosociale arbeidsbelasting en werkstress met behulp van de vragenlijst beleving en beoordeling van de arbeid [Manual VBBA: Research on the experience of psychosocial workload and job stress by means of the Questionnaire on the Experience and Evaluation of Work]. Amsterdam: SKB.
   Google Scholar
• Van Veldhoven, M., Meijman, T.F., Broersen, J.P.J., & Fortuin, R.J. (2002). Handleiding VBBA. (2nd ed). Amsterdam: SKB. PMCid:PMC1222642
   Google Scholar
• Wang, J., & Wang, X. (2012). Structural equation modeling: Applications using Mplus. Chichester, United Kingdom: Wiley. http://dx.doi.org/10.1002/9781118356258
   Google Scholar
• Xanthopoulou, D., Bakker, A. B., Demerouti, E., & Schaufeli, W. B. (2009). Reciprocal relationship between job resources, personal resources and work engagement. Journal of Vocational Behavior, 74(3), 235–244. http://dx.doi.org/10.1016/j.jvb.2008.11.003
   Web of Science ®Google Scholar
• Young, J. (2012). Keys to effective communication with players. Australian Tennis Magazine, 37(2), 68–69.
   Google Scholar