Campus Access Only
All rights reserved. This publication is intended for use solely by faculty, students, and staff of University of the Pacific. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, now known or later developed, including but not limited to photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author or the publisher.
Date of Award
Thesis - Pacific Access Restricted
Master of Arts (M.A.)
John G. Boelter
First Committee Member
Margaret E. Ciccolella
Second Committee Member
J. Connor Sutton
The problem of the study was to determine the better predictors of sprint performance for male and female sprinters from selected leg power and isokinetic strength tests. Ten male and five female sprinters volunteered to be measured for vertical jump performance, anaerobic power and capacity, peak isokinetic torque at the hip, knee, and ankle joint, and sprint performance. A forward stepwise multiple regression analysis was performed to allow selection from all strength and power variables regressed on the dependent variables of 30 meters, 60 meters, and flying 30 meter sprints. This procedure allowed one to examine the contribution of each predictor variable to the regression model. Only the independent variables that elicited a regression equation significant at the .05 level were used in final regression models. The regression models developed for the males were: 30 meters (crouch start) = 6.115 - .083(anaerobic power) - .055(vertical jump) - .044(plantarflex 120"/s) - .022(knee flex 60'/s); 60 meters (crouch start) = 11.111 - .145(vertical jump) - .086 (anaerobic power) - .172(hip flex 300'/s) - .098(knee flex 60'/s); and 30 meters (flying start) = 4.295- .055(anaerobic power) - .312(knee flex 180'/s) - .090(hip flex 300'/s). The regression models for the women were different than the males and were: 30 meters (crouch start) = 9.530 - .346(vertical jump); 60 meters (crouch start) = 18.083- .686(vertical jump); and 30 meters (flying start) = 8.733- .352(vertical jump) . By knowledge of the variance of the better strength and power measures, 83.2% to 98.0% of the variance of the respective sprint tests were explained. The regression models could allow for the identification of potential sprint performers and the development of optimal sprint training program.
Cablayan, Ted. (1992). Prediction of sprint times of male and female sprinters from selected leg power and isokinetic strength tests. University of the Pacific, Thesis - Pacific Access Restricted. https://scholarlycommons.pacific.edu/uop_etds/2240
To access this thesis/dissertation you must have a valid pacific.edu email address and log-in to Scholarly Commons.Find in PacificSearch
If you are the author and would like to grant permission to make your work openly accessible, please email
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/
This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).