Skip to main content
Original Article

The Psychobiosocial States (PBS-S) Scale

Factor Structure and Reliability

Published Online:https://doi.org/10.1027/1015-5759/a000454

Abstract. This study examined the factor structure and reliability of the Psychobiosocial States (PBS-S) scale in the assessment of situational performance-related experiences. We administered the scale to 483 Finnish athletes before a practice session to assess the intensity and perceived impact of their performance-related feeling states. The hypothesized two-factor structure indicating functional effects (10 items) and dysfunctional effects (10 items) toward performance was examined via exploratory structural equation modeling (ESEM) and confirmatory factor analysis (CFA). Regarding the intensity and perceived impact dimensions of reported states, ESEM and CFA showed a good fit for a two-factor solution of a 14-item PBS-S scale (seven functional and seven dysfunctional items). For both intensity and impact ratings, core state functional modalities were bodily, cognitive, and volitional, while core state dysfunctional modalities were volitional, operational, and anxiety. Findings support the use of a 14-item PBS-S scale to measure a range of preperformance states.

References

  • Asparouhov, T. & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16, 397–438. https://doi.org/10.1080/10705510903008204 First citation in articleCrossrefGoogle Scholar

  • Bertollo, M., Bortoli, L., Gramaccioni, G., Hanin, Y., Comani, S. & Robazza, C. (2013). Behavioural and psychophysiological correlates of athletic performance: A test of the multi-action plan model. Applied Psychophysiology Biofeedback, 38, 91–99. https://doi.org/10.1007/s10484-013-9211-z First citation in articleCrossrefGoogle Scholar

  • Blascovich, J. & Tomaka, J. (1996). The biopsychosocial model of arousal regulation. Advances in Experimental Social Psychology, 28, 1–51. First citation in articleCrossrefGoogle Scholar

  • Bortoli, L., Bertollo, M. & Robazza, C. (2009). Dispositional goal orientations, motivational climate, and psychobiosocial states in youth sport. Personality and Individual Differences, 47, 18–24. https://doi.org/10.1016/j.paid.2009.01.042 First citation in articleCrossrefGoogle Scholar

  • Di Corrado, D., Vitali, F., Robazza, C. & Bortoli, L. (2015). Self-efficacy, emotional states and performance in carom billiards. Perceptual and Motor Skills, 121, 14–25. https://doi.org/10.2466/30.PMS.121c11x6 First citation in articleCrossrefGoogle Scholar

  • Ganzen, V. A. (1984). Systemnyje opisanija v psikhologii [Systems descriptions in psychology]. Leningrad, Russia: Leningrad University Press. First citation in articleGoogle Scholar

  • Hanin, Y. L. (2000). Individual zones of optimal functioning (IZOF) model: Emotion-performance relationships in sport. In Y. L. HaninEd., Emotions in sport (pp. 65–89). Champaign, IL: Human Kinetics. First citation in articleGoogle Scholar

  • Hanin, Y. L. (2007). Emotions in sport: Current issues and perspectives. In G. TenenbaumR. C. EklundEds., Handbook of sport psychology (3rd ed., pp. 31–58). Hoboken, NJ: Wiley. First citation in articleGoogle Scholar

  • Hanin, Y. L. & Stambulova, N. B. (2002). Metaphoric description of performance states: An application of the IZOF model. The Sport Psychologist, 16, 396–415. First citation in articleCrossrefGoogle Scholar

  • Hanin, Y. L. & Syrjä, P. (1995). Performance affect in junior ice hockey players: An application of the individual zones of optimal functioning model. The Sport Psychologist, 9, 169–187. First citation in articleCrossrefGoogle Scholar

  • Hanton, S., Neil, R. & Mellalieu, S. D. (2008). Recent developments in competitive anxiety direction and competition stress research. International Review of Sport and Exercise Psychology, 1, 45–57. https://doi.org/10.1080/17509840701827445 First citation in articleCrossrefGoogle Scholar

  • Hu, L. & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55. First citation in articleCrossrefGoogle Scholar

  • Jones, M. V., Lane, A. M., Bray, S. R., Uphill, M. & Catlin, J. (2005). Development and validation of the Sport Emotion Questionnaire. Journal of Sport and Exercise Psychology, 27, 407–431. First citation in articleCrossrefGoogle Scholar

  • Jones, G. & Swain, A. (1992). Intensity and direction as dimensions of competitive state anxiety and relationships with competitiveness. Perceptual and Motor Skills, 74, 467–472. First citation in articleCrossrefGoogle Scholar

  • Kuhl, J. (1987). Action control: The maintenance of motivational states. In F. HalischJ. KuhlEds., Motivation, intention, and volition (pp. 279–291). Berlin: Springer. First citation in articleGoogle Scholar

  • Lazarus, R.S. (2000). How emotions influence performance in competitive sports. The Sport Psychologist, 14, 229–252. First citation in articleCrossrefGoogle Scholar

  • Marsh, H. W., Muthén, B., Asparouhov, T., Lüdtke, O., Robitzsch, R., Morin, A. J. S. & Trautwein, U. (2009). Exploratory structural equation modeling, integrating CFA and EFA: Application to students’ evaluations of university teaching. Structural Equation Modeling, 16, 439–476. https://doi.org/10.1080/10705510903008220 First citation in articleCrossrefGoogle Scholar

  • Mellalieu, S. D., Hanton, S. & Fletcher, D. (2006). A competitive anxiety review: Recent directions in sport psychology research. In S. HantonS. D. MellalieuEds., Literature reviews in sport psychology (pp. 1–45). Hauppage, NY: Nova Science. First citation in articleGoogle Scholar

  • Morin, A. J. S. & Maïano, C. (2011). Cross-validation of the short form of the physical self-inventory (PSI-S) using exploratory structural equation modeling (ESEM). Psychology of Sport and Exercise, 12, 540–554. https://doi.org/10.1016/j.psychsport.2011.04.003 First citation in articleCrossrefGoogle Scholar

  • Muthén, L. K. & Muthén, B. O. (2012). Mplus user’s guide (7th ed.). Los Angeles, CA: Muthén & Muthén. First citation in articleGoogle Scholar

  • Rees, T. & Freeman, P. (2012). Coping in sport through social support. In J. ThatcherM. JonesD. LavalleeEds., Coping and emotion in sport (2nd ed., pp. 102–117). New York, NY: Routledge. First citation in articleGoogle Scholar

  • Riley, M. A., Richardson, M. J., Shockley, K. & Ramenzoni, V. C. (2011). Interpersonal synergies. Frontiers in Psychology, 2, 1–7. https://doi.org/10.3389/fpsyg.2011.00038 First citation in articleCrossrefGoogle Scholar

  • Robazza, C., Bertollo, M., Ruiz, M. C. & Bortoli, L. (2016). Measuring psychobiosocial states in sport: Initial validation of a trait measure. PLoS One, 11, e0167448. https://doi.org/10.1371/journal.pone.0167448 First citation in articleCrossrefGoogle Scholar

  • Ruiz, M. C. & Hanin, Y. L. (2004a). Athletes’ self-perceptions of optimal states in karate. Revista de Psicología del Deporte, 13, 229–244. First citation in articleGoogle Scholar

  • Ruiz, M. C. & Hanin, Y. L. (2004b). Metaphoric description and individualized emotion profiling of performance related states in high-level karate athletes. Journal of Applied Sport Psychology, 16, 1–16. https://doi.org/10.1080/10413200490498366 First citation in articleCrossrefGoogle Scholar

  • Ruiz, M. C., Hanin, Y. L. & Robazza, C. (2016). Assessment of performance-related experiences: An individualized approach. The Sport Psychologist, 30, 201–218. First citation in articleCrossrefGoogle Scholar

  • Ruiz, M. C., Raglin, J & Hanin, Y. L. (2017). The individual zones of optimal functioning (IZOF) model (1978–2014): Historical overview of its development and use. International Journal of Sport and Exercise Psychology, 15, 41–63. https://doi.org/10.1080/1612197X.2015.1041545 First citation in articleCrossrefGoogle Scholar

  • Tabachnick, B. G. & Fidell, L. S. (2013). Using multivariate statistics (6th ed.). Boston, MA: Pearson. First citation in articleGoogle Scholar

  • Watson, D. & Tellegen, A. (1985). Toward a consensual structure of mood. Psychological Bulletin, 98, 219–235. https://doi.org/10.1037/0033-2909.98.2.219 First citation in articleCrossrefGoogle Scholar