Title

Error of measurement in jump performance is influenced by training phase

Document Type

Journal Article

Publisher

Human Kinetics, Inc.

Place of Publication

Champaign, USA

School

School of Medical and Health Sciences

RAS ID

19956

Comments

Originally published as: Taylor, K. L., Hopkins, W. G., Chapman, D. W., & Cronin, J. J. (2016). Error of measurement in jump performance is influenced by training phase. International Journal of Sports Physiology and Performance, 11(2), 235-239. doi: 10.1123/ijspp.2015-0115. Original article available here

Abstract

The purpose of this study was to calculate the coefficients of variation in jump performance for individual participants in multiple trials over time to determine the extent to which there are real differences in the error of measurement between participants. The effect of training phase on measurement error was also investigated. Six subjects participated in a resistance-training intervention for 12 wk with mean power from a countermovement jump measured 6 d/wk. Using a mixed-model meta-analysis, differences between subjects, within-subject changes between training phases, and the mean error values during different phases of training were examined. Small, substantial factor differences of 1.11 were observed between subjects; however, the finding was unclear based on the width of the confidence limits. The mean error was clearly higher during overload training than baseline training, by a factor of ×/÷ 1.3 (confidence limits 1.0-1.6). The random factor representing the interaction between subjects and training phases revealed further substantial differences of ×/÷ 1.2 (1.1-1.3), indicating that on average, the error of measurement in some subjects changes more than in others when overload training is introduced. The results from this study provide the first indication that within-subject variability in performance is substantially different between training phases and, possibly, different between individuals. The implications of these findings for monitoring individuals and estimating sample size are discussed.

DOI

10.1123/ijspp.2015-0115

Access Rights

Not open access