Term of Award

Spring 2018

Degree Name

Master of Science in Kinesiology (M.S.)

Document Type and Release Option

Thesis (open access)

Copyright Statement / License for Reuse

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Department

Department of Health Sciences and Kinesiology

Committee Chair

Greg Ryan

Committee Member 1

Ron Snarr

Committee Member 2

Nicholas Murray

Committee Member 3

Stephen Rossi

Abstract

The aim of this study was to examine the ability of anthropometrics (AP) to predict both performance testing (P) (n = 14) and game performance (GP) (n = 10) in female collegiate volleyball players; the relationship between AP and both P and GP. AP consisted of segment lengths and ratios, body height, weight, and fat mass. For P, sport-specific performance tests were conducted assessing power and agility. Attacking and defensive GP statistics were transcribed from Volleymetrics for analysis purposes. AP, P, and GP were normalized through the use of Z-scores by team (T), front row (FR), and back row players (BR). From this an AP (APZ), P (PZ), and GP Z-score (GPZ) were established. Pearson correlations between AZ and GPZ as well as AZ and PZ by group were run. In addition, a multiple stepwise regression (MSR) was run to determine the ability of AP to predict GPZ and PZ by group. Pearson correlation presented with no significant relationships. Regression analysis presented with the ability of the thigh/shank ratio to predict PZ for T (r = 0.582, p = .029) and BR (r = 0.831, p < 0.021). Hand width was the greatest predictor of PZ for FR (r = 0.878, p = 0.009). For GP, Brachium/Antebrachium, height, and achilles tendon length AP predicted GPZ for the T group (r = 0.997, p < .001), and hand length and thigh/shank AP predicted GPZ for the FR group (r = 0.99, p = 0.01). These data indicate that segment ratios predict GP and P in collegiate volleyball players. In addition, further research should explore AP ability to predict GP across various sports.

Research Data and Supplementary Material

No

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