Providing a Sports Talent Identification Model for Children and Adolescents Based on Mental-Physical, Cognitive, Coping, and Basic Psychological Skills

Tahmasbpour Shafiei, Mostafa; Razavi, Seyyed Mohammadhossein; Amirnejad, Saeed; Dosti Pashakolaei, Morteza; Hosseini, Seyyed Emad

Volume 12 - Articles-1401 MEJDS (2022) 12: 3 | Back to browse issues page

Mendeley

Zotero

RefWorks

Tahmasbpour Shafiei M, Razavi S M, Amirnejad S, Dosti Pashakolaei M, Hosseini S E. Providing a Sports Talent Identification Model for Children and Adolescents Based on Mental-Physical, Cognitive, Coping, and Basic Psychological Skills. MEJDS 2022; 12 :3-3
URL: http://jdisabilstud.org/article-1-2371-en.html

Providing a Sports Talent Identification Model for Children and Adolescents Based on Mental-Physical, Cognitive, Coping, and Basic Psychological Skills

Mostafa Tahmasbpour Shafiei ^*

¹, Seyyed Mohammadhossein Razavi²

, Saeed Amirnejad³

, Morteza Dosti Pashakolaei²

, Seyyed Emad Hosseini⁴

1- North University
2- Department of Sports Management, Mazandaran University
3- University of art and lecture north University
4- Shahid Beheshti University

Abstract: (1630 Views)

Background & Objectives: In recent years, sports psychologists, coaches, supervisors, and athletes have shown interest in psychological skills topic. Evaluating the mental capabilities of children and adolescents with physical disabilities is very important in determining their capacity as successful athletes. It can be beneficial to include purposeful and inclusive talent identification in athletes' psychological talent identification programs. Despite the difficulties in predicting the long–term success of young athletes, talent programs are currently expanding worldwide, so it is essential to observe the talent of child and adolescent athletes scientifically. In recent years, sports federations for the disabled around the world have shown attention to the disabled, especially the discovery of sports abilities in people with physical disabilities to show their talents and performances in the Paralympic Games. Therefore, this study aimed to provide a model for sports talent identification of children and adolescents based on mental–physical, cognitive, coping, and basic psychological skills.
Methods: The research was an applied study in terms of purpose and used a mixed–method design. In the qualitative stage, semi–structured interviews were purposefully conducted with 15 experts, including managers, teachers, coaches who were experts in children's and adolescents' sports, and several national team psychologists. In these interviews, psychological indicators in identifying sports talents in children and adolescents were identified, and content analysis was performed. After reaching theoretical data saturation and using the Delphi method, 37 concepts were extracted, and finally, 21 items were approved. In the quantitative stage, a researcher–made questionnaire with 21 questions (a 5–point Likert scale) in psychological skills (mental–physical, cognitive, coping, and basic psychology) whose content validity was approved by 7 experts were distributed among 210 sports experts in the field of children's sports talent and active adolescents and collected upon completion. Finally, 200 people answered the online questionnaire correctly, and their data were analyzed. Descriptive statistical methods, including mean, frequency, and standard deviation, were used to describe the variables in the research community in SPSS23 software. Regarding the inferential statistics, structural equation modeling was performed to analyze the data in SmartPLS3.
Results: The study results confirmed the convergent validity (AVE=0.714) and internal consistency (CR=0.909) of the questionnaire. Also, the confirmatory factor analysis classified the constructs of psychological skills into 4 main factors. Based on this analysis, basic psychological skills (p=0.027, β=0.787), mental–physical skills (p=0.042, β=0.734), cognitive skills (p=0.039, β=0.669), and coping skills (p=0.048, β=0.641) were explained as psychological indicators in sports talent identification of children and adolescents with physical disabilities. According to the fit indices of AGFI=0.87, GFI=0.94, CFI=0.97, and RMSEA=0.049, the model had a good fit.
Conclusion: Based on the study findings, psychological indicators can be used in sports talent identification of children and adolescents with physical disabilities as a diagnostic tool.

Keywords: Sports talent identification, Adolescents, Children, Psychological skills, Physical disabilities

Full-Text [PDF 776 kb] (1861 Downloads)

Type of Study: Original Research Article | Subject: Psychology

References

1. Prieto-Ayuso A, Pastor-Vicedo JC, González-Víllora S, Fernández-Río J. Are physical education lessons suitable for sport talent identification? a systematic review of the literature. Int J Environ Res Public Health. 2020;17(6):1965. [DOI]

2. Dostdari S, Sajjadi SH, Ashraf Ganjouei F. Develop talent identification parameters for football. Sport Management Studies, 2016;8(35):17–32. [Persian] [Article]

3. Hopwood M, Clare M, Damian F, Joseph B. The family portrait as an indicator of sporting talent. In: ASPIRE TID Conference Schedule [Internet]. Doha, Qatar: Aspire Academy; 2014.

4. Gledhill A, Harwood C, Forsdyke D. Psychosocial factors associated with talent development in football: a systematic review. Psychol Sport Exerc. 2017;31:93–112. [DOI]

5. Lund S, Söderström T. To see or not to see: talent identification in the swedish football association. Sociol Sport J. 2017;34(3):248–58. [DOI]

6. Shafizadeh A. Predicting skill performance in football talent identification. Journal Development and Motor Learning. 2017;9(1):59–77. [Persian] [Article]

7. Hutzter Y, Bar-Eli M. Psychological benefits of sports for disabled people: a review. Scand J Med Sci Sports. 2007;3(4):217–28. [DOI]

8. D'isanto T. Sports skills in sitting volleyball between disabled and non-disabled people. Journal of Physical Education and Sport. 2020;20(3):1408–14. [DOI]

9. Gouttebarge V, Aoki H, Ekstrand J, Verhagen EALM, Kerkhoffs GMMJ. Are severe musculoskeletal injuries associated with symptoms of common mental disorders among male European professional footballers? Knee Surg Sports Traumatol Arthrosc. 2016;24(12):3934–42. [DOI]

10. Williams JM, Krane V. Applied sport psychology: personal growth to peak performance. 7th edition. New York: McGraw-Hill Education; 2015.

11. Dries N. The psychology of talent management: a review and research agenda. Human Resource Management Review. 2013;23(4):272–85. [DOI]

12. Devantier C. Psychological predictors of injury among professional soccer players. Sport Science Review. 2011;20(5–6):5–36. [DOI]

13. Lim T, O'Sullivan DM. Case study of mental skills training for a taekwondo Olympian. J Hum Kinet. 2016;50(1):235–45. [DOI]

14. Noori M, Sadeghi H. A review of sport talent identification studies. Journal of Sport Management. 2018;10(2):387–400. [Persian] [Article]

15. Orosz R, Ferenc Mezo. Psychological factors in the development of football-talent from the perspective of an integrative sport-talent model. Journal for the Education of Gifted Young Scientists. 2015;3(1):58–76. [DOI]

16. Votteler A, Höner O. The relative age effect in the German Football TID programme: biases in motor performance diagnostics and effects on single motor abilities and skills in groups of selected players. Eur J Sport Sci. 2014;14(5):433–42. [DOI]

17. Hegazy K, Sherif AM, Houta SS. The effect of mental training on motor performance of tennis and field hockey strokes in novice players. Advances in Physical Education. 2015;5(02):77–83. [DOI]

18. Kajbaf Nezhad H. Identifying and predicting psychological talent parameters by factor analysis in athletics. Sport Psychology Studies. 2013;2(4):39–46. [Persian] [Article]

19. Nasiri M, Ashraf Ganjoee F, Amirtash A, Sajjadi Hezave H. An investigation football talent criterion from Iranian trainers of Asian Football Confederation (AFC). Sport Management and Development. 2018;7(2):19–36. [Persian] [Article]

20. Abbasi Lahiji B. Raveshe pazhoohesh dar danesh hoghoogh [Research methodology in law science]. Tehran: Khorsandi Publishing; 2014.

21. Davari A, Rezazadeh A. Model sazi mo'adelat sakhtari ban arm afzar PLS [modeling structural equations with PLS software]. Tehran: Jahad Daneshgahi Publishing; 2014.

22. Dada JO, Musa NA. Key factors affecting the competence of quantity surveyors: evidence from construction industry stakeholders in Nigeria. Journal of Engineering, Design and Technology. 2016;14(3):461–74. [DOI]

23. Farbod E. Model sazi mo'adelate sakhtari dar dade haye porseshname i be komak narm afzar AMOS 24 [Modeling structural equations in questionnaire data using AMOS-24 software]. Tehran: Mehreganeghalam Publishing; 2018. [Persian]