Volume 3, Issue 2 (5-2021)                   IJMCL 2021, 3(2): 48-58 | Back to browse issues page


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Maleki M, Abdollahi S. Development and Validation of the Kabaddi Offensive and Defensive Observational Instrument. IJMCL. 2021; 3 (2) :48-58
URL: http://ijmcl.com/article-1-94-en.html
Department of Physical Education, Faculty of Humanities and Social Sciences, University of Kurdistan, Sanandaj, Kurdistan, Iran
Abstract:   (232 Views)
Background: Identify techniques and tactics and their analysis in training sessions, in addition to providing accurate information to improve the weaknesses of the team, help the coach in the training process and identify physical, behavioural, and technical requirements of players.
Objective: This study, through the principles of observational approach, aims to development and validation of an instrument to analyse observable behaviours during a kabaddi match.
Method: For this purpose, four matches of Iranian men's kabaddi team and five Iranian women's kabaddi team in the Incheon Asian Games in South Korea in 2014 were selected for this study. At first for higher transparency of the aspects of kabaddi play, describing offensive and defensive behaviours were revise and clarified; The final version was provided to 10 experienced coaches and teachers of kabaddi to determine the content validity and Intra-rater and inter-rater methods used for determining the reliability by two people, including a coach and a referee. To coordinate between the observers in the process of assessing reliability of kabaddi defensive and offensive behaviours, the beginning and end of each raid were coded into a behaviour unit. In each behaviour unit, the raiding player's offensive behaviour and the opponent's defensive behaviour were simultaneously coded.
Results: In this instrument, results of means of content validity index for offensive and defensive behaviours at 0.05 significance level were 0.8 and 0.89, respectively. The results for means of intra-observer reliability for both categories of offensive and defensive behaviours k = 0.99 and k = 0.97 were obtained, respectively. The mean of inter-observer reliability for categories of offensive and defensive behaviours were k = 0.89 and k = 0.88, respectively, indicating high agreement between the two raters.
Conclusion: Observational design of the current research had a high power to collect, manage, and analyse data by a precise definition of the skills and kabaddi variables. Then, this instrument can be used as a suitable observational instrument by coaches to identify and analyse kabaddi’s defensive and offensive performances.
Full-Text [PDF 318 kb]   (98 Downloads)    
Type of Study: Original Article | Subject: 1. Motor learning
Received: 2021/03/13 | Accepted: 2021/05/19 | Published: 2021/05/29

References
1. Anguera, M. T., & Mendo, A. H. (2013). OBSERVATIONAL METHODOLOGY IN SPORT SCIENCES. E-balonmano. com: Journal of Sports Science/Revista de Ciencias del Deporte, 9(3).
2. Bloomfield, J., Polman, R., & O'donoghue, P. (2005). Effects of score-line on team strategies in FA Premier League Soccer. Journal of Sports Sciences, 23(2), 192-193.
3. Bray, S., & Martin, K. (2003). The effect of competition location on individual athlete performance and psychological states. Psychology of Sport and Exercise, 4(2), 117-123. [DOI:10.1016/S1469-0292(01)00032-2]
4. Clark, P. (2010). Intermittent high intensity activity in English FA Premier League soccer. International Journal of Performance Analysis in Sport, 10(2), 139-151. [DOI:10.1080/24748668.2010.11868510]
5. Creswell, J. W. (2005). Research design: qualitative, quantitative, and mixed method approaches (2nd ed.). london: sage.
6. Dave, S., Craig, T., Shayne, H., Ceri, N., & Kevin, L. (2009). Semi-automated time-motion analysis of senior elite rugby league. International Journal of Performance Analysis in Sport, 9(1), 47-59. [DOI:10.1080/24748668.2009.11868463]
7. Drikos, S., & Vagenas, G. (2011). Multivariate assessment of selected performance indicators in relation to the type and result of a typical set in Men's Elite Volleyball. International Journal of Performance Analysis in Sport, 11(1), 85-95. [DOI:10.1080/24748668.2011.11868531]
8. Gómez, M.-A., Lorenzo, A., Ibañez, S.-J., & Sampaio, J. (2013). Ball possession effectiveness in men's and women's elite basketball according to situational variables in different game periods. Journal of Sports Sciences, 31(14), 1578-1587. [DOI:10.1080/02640414.2013.792942]
9. Gréhaigne, J. (1991). A new method of goal analysis. Science and Football, 5, 10-16.
10. Hughes, M., Cooper, S., & Nevill, A. (2002). Analysis procedures for non-parametric data from performance analysis. International Journal of Performance Analysis in Sport, 2(1), 6-20. [DOI:10.1080/24748668.2002.11868257]
11. Hughes, M., & Franks, I. M. (2004). Notational analysis of sport: Systems for better coaching and performance in sport: Psychology Press.
12. Hughes, M., Hughes, M., & Behan, H. (2009). Computerized notational analysis and performance profiling in racket sports. Lees, Cabello & Torres (eds). Science and Racket Sports IV, 187-196.
13. Hughes, M. D., & Bartlett, R. M. (2002). The use of performance indicators in performance analysis. Journal of Sports Sciences, 20(10), 739-754. [DOI:10.1080/026404102320675602]
14. Lago, C., & Martín, R. (2007). Determinants of possession of the ball in soccer. Journal of Sports Sciences, 25(9), 969-974. [DOI:10.1080/02640410600944626]
15. Lebed, F. (2006). System approach to games and competitive playing. European Journal of Sport Science, 6(01), 33-42. [DOI:10.1080/17461390500422820]
16. O'Donoghue, P., & Ingram, B. (2001). A notational analysis of elite tennis strategy. Journal of sports sciences, 19(2), 107-115. [DOI:10.1080/026404101300036299]
17. Ortega, E., Palao, J. M., Gómez, M. á., Lorenzo, A., & Cárdenas, D. (2007). Analysis of the efficacy of possessions in boys' 16-and-under basketball teams: differences between winning and losing teams. Perceptual and motor skills, 104(3), 961-964. [DOI:10.2466/pms.104.3.961-964]
18. Oslin, J. L., Mitchell, S. A., & Griffin, L. L. (1998). The game performance assessment instrument (GPAI): Development and preliminary validation. Journal of teaching in physical education, 17(2), 231-243. [DOI:10.1123/jtpe.17.2.231]
19. Palraj, A., Needhiraja, A., John, L., & Kalidasan, R. (2012). Design and development of digital match analysis system for kabaddi matches. Educational Technology, Elixir Edu. Tech. 50 (2012) 10387, 10389.
20. Rao, C., V. (1983). Kabaddi; Native Indian Sports. Patiala: NIS Publication.
21. Robinson, G., & O'Donoghue, P. (2007). A weighted kappa statistic for reliability testing in performance analysis of sport. International Journal of Performance Analysis in Sport, 7(1), 12-19. [DOI:10.1080/24748668.2007.11868383]
22. Sainz De Baranda, P., Ortega, E., & Palao, J. M. (2008). Analysis of goalkeepers' defence in the World Cup in Korea and Japan in 2002. European Journal of Sport Science, 8(3), 127-134. [DOI:10.1080/17461390801919045]
23. Tucker, W., Mellalieu, S. D., James, N., & Taylor, J. B. (2005). Game location effects in professional soccer: A case study. International Journal of Performance Analysis in Sport, 5(2), 23-35. [DOI:10.1080/24748668.2005.11868325]

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