An Aerobic Capacity Variable-Based Discriminant Model For The Classification Of Handball Players

Abstract

Aim of the study - The study aimed to compare the aerobic capacities, specifically the Force Vital Capacity (FVC), Peak Expiratory Flow (PEF), and Maximum Oxygen Consumption (VO2) Max, between male Handball players with high and low performance levels. Additionally, the study sought to establish a criteria for classifying male Handball players into high or low performance groups by utilising discriminant analysis based on the parameters of aerobic capacities. 

Material and Methods- A sample of sixty male Handball players who participated in the 2018 Handball Men’s Senior National held at Gwalior, Madhya Pradesh India were tested for their aerobic capacities. The data was collected on the last two teams of tournament and top two teams of tournament. Thus, the players were classified into high and low performance groups.

Results- The mean values of all the three aerobic capacities parameters were significantly higher among high performance Handball players in comparison with low performance players. Further, a discriminant model was prepared to classify Handball players into high and low performance groups on the basis of aerobic capacity variables. A disrciminant function Z was developed (Z = –13.21 + 1.20 (FVC) + 0.21 (PEF) + 0.170 (VO2 Max)) The attained discriminant model classified correctly 88.3% of the cases in the sample.

 Conclusion- The study clearly demarks the difference present in the aerobic capacities of the different level of players. The result of the study is that the coaches can use aerobic capacity parameters of selecting a elite level basket player and a beginner as well.