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Research Paper | Physical Education | India | Volume 11 Issue 9, September 2022 | Rating: 4.8 / 10
Development of Discriminant Model for Handball Players Based on Team Cohesiveness
Vishal Singh [6] | Dilshith A. Kabeer
Abstract: The primary purpose of the study was to determine the relative importance of different team cohesiveness parameters (Group-Task and Group-Social) in explaining the differences in performance levels between the high- and low-performing athletes, and the secondary purpose was to develop a real-valued pattern for clustering handball players into high- and low-caliber groups based on these parameters. Two hundred National level Indian handball players were selected for the study. The Group Environment Questionnaire (GEQ) were administered to each participant before the competition, and responses were recorded. Fifty samples were retained for the final analysis, with 25 handball players representing the top five teams and 25 participants coming from the bottom five teams. SPSS version 20.0 was used for the statistical analysis. The result showed that high-performance handball players had significantly higher mean values across all four group cohesion frameworks when compared to low-performance players. These included Group Integration-Task (GI-T), Group Integration-Social (GI-S), Individual Attraction via the Group-Task (IAG-T), and Individual Attraction towards the Group-Social (IAG-S) (IAG-S). A discriminant model was also developed to classify handball players into high- and low-achievement subgroups based on their levels of cohesion. To generate a discriminant function, the formula Z = -5.98 + 0.13 (GI-T), +0.12 (GIS), -0.04 (IAG-T), +0.14 (IAG-S) was developed. The discriminant model accurately classified 75% of the sample data points. Four components contributed to group cohesion, but the one with the most discriminatory power was the Individual Attraction to the Group-Social variable (IAG-S). If the discriminant function Z developed for the study yielded a positive value, the male handball players were placed in the poor performance group; if the value was negative, the players were placed in the high-performance group.
Keywords: Handball, Team Cohesion, Discriminant Analysis
Edition: Volume 11 Issue 9, September 2022,
Pages: 1064 - 1067