Authors
1
PhD Student in Sports Management, Sari Branch, Islamic Azad University, Sari, Iran
2
Assistant Professor of Sport Management Department, Sari Branch, Islamic Azad University, Sari, Iran.
3
Assistant Professor, Department of Sport Management, Sari Branch, Islamic Azad University, Sari, Iran
4
Assistant Professor, Department of sport management, Science and Research branch, Islamic Azad University, Tehran, Iran.
,
Document Type : Research Paper
Abstract
Objective: The purpose of this study was to identify and validate the indicators and components affecting talent identification in Iranian volleyball.
Methodology: From the paradigm perspective, research was pragmatism, mixed approach, exploratory-field nature, phenomenological and survey strategy, and applied in terms of purpose. Data collection was in the form of in-depth and semi-structured interviews (qualitative section) and questionnaires.
Results: 328 initial codes including 15 main categories and 45 central categories regarding the factors affecting talent identification in Iranian volleyball were counted. The reliability coefficient of re-coding of qualitative research was calculated to be 0.91. External and content validity in the form of CVR and CVR forms were confirmed by expert professors and the validity of the structure of the research tool was performed after the exploratory factor analysis process. Model fit with SRMR calculation equal to 0.075 which showed the optimal fit of the model.
Conclusion: Education (0.454), Academies (0.536), Principles and Exercise Design (0.235), Inter-organizational Communication (0.376), Facilities and Equipment (0.480), Family Support (0.441), National Stars and Heroes (0.348), Agents Value and attitude (0.432), Motivational factors (0.489), Legal factors (0.425), Intelligence and psychological factors (0.536), Volleyball Federation (0.543), Human resource activities (0.442), Anthropometric characteristics (0.474) as indicators And components affecting talent identification in Iranian volleyball were discovered and validated.
- Alfermann, D., & Stambulova, N. (2007). Career transitions and career termination.
- Baker, J., & Wattie, N. (2018). Innate talent in sport: Separating myth from reality. Current Issues in Sport Science (CISS).
- Balyi, I., & Hamilton, A. (2004). Long-term athlete development: Trainability in childhood and adolescence. Olympic Coach, 16(1), 4-9.
- Čoh, M., & Žvan, M. (2019). Identification of Young Talents in Sport. Physical Education and Sport through the Centuries, 6(1), 70-79.
- Côté, J., Baker, J., & Abernethy, B. (2007). Practice and play in the development of sport expertise. Handbook of sport psychology, 3, 184-202.
- Côté, J., & Vierimaa, M. (2014). The developmental model of sport participation: 15 years after its first conceptualization. Science & Sports, 29, S63-S69.
- Elferink-Gemser, M. T., De Roos, I., Torenbeek, M., Fokkema, T., Jonker, L., & Visscher, C. (2015). The Importance of psychological constructs for training volume and performance improvement. A structural equation model for youth speed International Journal of Sport Psychology.
- Fenner, J. S., Iga, J., & Unnithan, V. (2016). The evaluation of small-sided games as a talent identification tool in highly trained prepubertal soccer players. Journal of Sports Sciences, 34(20), 1983-1990.
- Folle, A., Nascimento, J. V. d., & Graça, A. B. d. S. (2015). Processo de formação esportiva: da identificação ao desenvolvimento de talentos esportivos. Revista da Educação Física/UEM, 26(2), 317-329.
- Gagné, F. (2004). Transforming gifts into talents: The DMGT as a developmental theory. High ability studies, 15(2), 119-147.
- Gledhill, A., Harwood, C., & Forsdyke, D. (2017). Psychosocial factors associated with talent development in football: A systematic review. Psychology of Sport and Exercise, 31, 93-112.
- Gulbin, J., Weissensteiner, J., Oldenziel, K., & Gagné, F. (2013). Patterns of performance development in elite athletes. European journal of sport science, 13(6), 605-614.
- Güllich, A. (2014). Selection, de-selection and progression in German football talent promotion. European journal of sport science, 14(6), 530-537.
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(1), 115-135.
- Kelly, D. R., Matthews, M. D., & Bartone, P. T. (2014). Grit and hardiness as predictors of performance among West Point cadets. Military Psychology, 26(4), 327-342.
- Larkin, P., O’Connor, D., & Williams, A. M. (2016). Does grit influence sport-specific engagement and perceptual-cognitive expertise in elite youth soccer? Journal of Applied Sport Psychology, 28(2), 129-138.
- Malina, R. M. (2010). Early sport specialization: roots, effectiveness, risks. Current sports medicine reports, 9(6), 364-371.
- Meyer, B. B., Markgraf, K. M., & Gnacinski, S. L. (2017). Examining the merit of grit in women's soccer: Questions of theory, measurement, and application. Journal of Applied Sport Psychology, 29(3), 353-366.
- O'Connor, D., Larkin, P., & Mark Williams, A. (2016). Talent identification and selection in elite youth football: An Australian context. European journal of sport science, 16(7), 837-844.
- Rafael Marques Garcia, L. M. N. P. (2020). Discovery and Promotion of Sport Talents: A Text of Opinion. J Phy Fit Treatment & Sportsl, 7(3): JPFMTS.MS.ID.555712 (2019).
- Stemler, S. (2001). An overview of content analysis. Practical assessment research evaluation. Xu and Zhang. (2005). International migration of nurses: Political and policy issues and Implications. Retrieved December, 10, 2009.
- Suryadia, L. E. (2020). Identification of Sport Talents with the Sport Search Methods. Paper presented at the Journal of Physics: Conference Series.
- Zuber, C., Zibung, M., & Conzelmann, A. (2015). Motivational patterns as an instrument for predicting success in promising young football players. Journal of Sports Sciences, 33(2), 160-168.