Electronic Theses and Dissertations

Date of Award

1-1-2021

Document Type

Thesis

Degree Name

M.S.E.S. in Exercise Science

First Advisor

Thomas L. Andre

Second Advisor

Paul Loprinzi

Third Advisor

Matthew B. Jessee

Relational Format

dissertation/thesis

Abstract

Monitoring the work load of athletes in both an individual and team setting has become a commonplace practice in today’s age of sports. However, this practice can look different depending on the physical demands of the sport. Specifically, in volleyball, an inertial measurement unit, known as Vert, can be utilized to track the number of jumps performed by players, in addition to other jump related variables. While Vert serves as an effective way of objectively measuring jump frequency among players, other ways in which jump frequency can be estimated are needed for teams and players without Vert. Therefore, this study aimed to determine if volleyball athletes can accurately predict the number of jumps they perform, after training and match play, when given a perceptual scale. We found that less than half of the team’s jump count range estimations (23.2%) were accurate when accuracy was considered as falling within 25 jumps of the Vert determined number of jumps performed. Nonetheless, when accuracy was considered as selecting a jump range falling within 50 jumps of the actual number of jumps performed, over half of the player’s responses were accurate (58%). Furthermore, a secondary aim of this study was to determine if prior experience monitoring jump count, player position, session rating of perceived exertion, or perceived sets played affected the player’s accuracy when predicting jump count. A generalized estimating equation (GEE), with a binary response (accurate or inaccurate), was used to analyze the longitudinal data. Position (b = .26, p < .001) was the only variable found to have a significant association with player jump count estimation accuracy. Based on these results, a subjective, perceptual scale could be useful in volleyball to better understand player’s jump counts following training, yet number of jumps allotted to each jump range, along with position could potentially impact player accuracy.

Available for download on Thursday, December 14, 2023

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