A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Jain, Tarun
- The Coaching Behavior Scale for Sport (CBS-S):Factor Structure Examination for Elite Indian Sportsperson
Authors
1 AIPS, Amity University Noida, Uttar Pradesh, IN
2 AIPS, Amity University, Noida, UP, IN
3 Department of Psychology, University of Delhi, Delhi, IN
Source
Indian Journal of Positive Psychology, Vol 9, No 1 (2018), Pagination: 1-8Abstract
The Coaching Behavior Scale for Sport (CBS-S) is designed to evaluate coach's involvement in developing sports person in multidimensional aspects of sports. Although CBS-S has been used in a number of empirical studies, the factor structure of the instrument has not been examined in Elite Indian context. Present study was, therefore, conducted to assess the factor structure of the CBS-S for Indian Elite sports person, 76 Elite sports person completed the CBS-S, CFA were done to assess the (CBS-S) for reliability and validity. Seven-factor CFA models fit to the sample data adequately. In addition, the sizes of factor loadings on target factors were substantial. The findings from this study supported the factorial validity of the CBS-S for the present sample and Personal Rapport (PS) and Negative Personal Rapport (NPR) are found to be moderately significant. This suggest that the Elite Indian sports person is relying more on the coach in relation to the Physical training, Technical skill, Goal setting, Mental preparations and Competitive strategies rather than the two rapport subscales.Keywords
Coaching Effectiveness, Factorial Analysis, Elite, Sports Performance, Rapport.References
- Anderson, J. C., & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49(2), 155-173.
- Baker, J., Cote, J., & Hawes, R. (2000). The relationship between coaching behaviours and sport anxiety in athletes. Journal of Science and Medicine in Sport, 3(2), 110-119.
- Barrett, P. (2007). Structural equation modelling: Adjudging model fit. Personality and Individual Differences, 42(5), 815-824.
- Bowes, I., & Jones, R. L. (2006). Working at the edge of chaos: Understanding coaching as a complex, interpersonal system. The Sport Psychologist, 20(2), 235-245.
- Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78, 98-104.
- Imamoglu, O., & Cetin, H. N. (2016). Perception of the behaviors of the coaches of elite taekwondo fighter, wrestlers, and basketball player against to them. International Journal of Academic Research, 8(5), 30-34.
- Joreskog, K. G., & Sorbom, D. (1996). Lisrel 8: User reference guide. Scientific Software International, 378.
- Jowett, S. (2003). When the honeymoon is over: A case study of a coach-athlete dyad in crisis. The Sport Psychologist, 17(4), 444-460.
- Khine, M. S. (2013). Structural equation modeling approaches in educational research and practice. In M.S. Khine (Ed.), Application of structural equation modeling in educational research and practice (pp. 279-283). Perth, Australia: Sense Publishers.
- Koh, K.T., Kawabata, M., & Mallett, C.J. (2014). The Coaching Behavior Scale for Sport: Factor structure examination for Singaporean youth athletes. International Journal of Sports Science and Coaching, 9(6), 1311-1324.
- Koh, K.T., Mallett, C., & Wang, C.K.J. (2009). Examining the Ecological Validity of the Coaching Behavior Scale (Sports) for Basketball. International Journal of Sports Science and Coaching, 4(2), 260-272.
- Lyle, J. (2002). Sports coaching concepts: A framework for coaches' behavior. Abingdon: Psychology Press.
- Mallett, C.J. (2007). Modelling the complexity of the coaching process: A commentary. International Journal of Sport Science and Coaching, 2, 419-421.
- Mallett, C.J., & Cote, J. (2006). Beyond winning and losing: Guidelines for evaluating high performance coaches. The Sports Psychologist, 20, 213-221.
- Olusoga, P., Butt, J., Hays, K., & Maynard, I. (2009). Stress in elite sports coaching: Identifying stressors. Journal of Applied Sport Psychology, 21(4), 442-459.
- Peterson, R. A. (1994). A meta-analysis of Cronbach coefficient alpha. Journal of Consumer Research, 21, 381-391.
- Reisinger, Y., & Mavondo, F. (2007). Structural equation modeling: Critical issues and new developments. Journal of Travel and Tourism Marketing, 21(4), 41-71.
- Streiner, D. L. (2003). Starting at the beginning: An introduction to coefficient alpha and internal consistency. Journal of Personality Assessment, 80(1), 99-103.
- Tomarken, A. J., & Waller, N. G. (2005). Structural equation modeling: Strengths, limitations, and misconceptions. Annual Review of Clinical Psychology, 1, 31-65.
- Wille, G. W. (1996). A stepwise procedure for the empirical assessment of latent variable models. Unpublished master's thesis. Port Elizabeth: University of Port Elizabeth.
- Mental Toughness in Indian Elite Athletes: Psychometric Validation of the Psychological Performance Inventory
Authors
1 Research Scholar, Amity Institute of Psychology and Allied Sciences, Amity University Noida, UP, IN
2 Asst. Professor, Amity Institute of Psychology and Allied Sciences, Amity University Noida, UP, IN
3 Professor, Amity Institute of Psychology and Allied Sciences, Amity University Noida, UP, IN
4 Associate, Professor, Zakir Hussain College, Delhi University, IN
Source
Indian Journal of Public Health Research & Development, Vol 11, No 1 (2020), Pagination: 671-676Abstract
Background: Mental toughness is one of the psychological dimensions considered essential for performance in sports. In this study, the Psychometric validation of the Psychological Performance Inventory (PPI) was validated for the measurement of mental toughness in elite athletes. Materials and method: A sample of 76 elite athletes was selected via purposive sampling. To assess mental toughness, we used the Psychological Performance Inventory, by Loehr (1986). A confirmatory factor analysis was conducted to confirm the factor structure of the Psychological Performance Inventory in an Indian context. Results: The mean scores for negative energy control, positive energy control, attention control, and attitude control were 3.41 (SD = .18), 3.88 (SD = .23), 3.68 (SD = .15), and 3.86 (SD = .23), respectively. Only 29 items were adequately internally consistent in assessing mental toughness for Indian elite athletes. In composite reliability (CR), all factors had values above .85, indicating good reliability.
Conclusion: The lack of success among elite Indian athletes is their excessive focus on affective skills, neglect of cognitive skills. Balancing affective and cognitive skills is the way to improve mental toughness,