Reliability and validity of two-dimensional motion analysis during a stop-jump movement

Stephen Bird, Eric Drinkwater, Suzi Edwards, Kerry Mann

Research output: Other contribution to conferenceAbstractpeer-review

Abstract

Discussion: The results of this study suggest that a stop-jump movement captured via two-dimensional data collection can be reliably used to estimate three-dimensional data values, as indicated by the low SEE of the linear regression. This suggests that coaches and/or clinicians can potentially use a two-dimensional motion analysis as a reliable method of movement screening. The intra-rater reliability of performing the two-dimensional analysis during a stop-jump task indicates that there is excellent reliability for the lower limb and trunk segments. Therefore, based on the results of this study, it is suggested that two-dimensional motion analysis is a reliable and valid alternative for coaches and clinicians relative to the costly, criterion three-dimensional motion analysis, to predict three-dimensional data values.Introduction: In order to develop a simple, valid and reliable kinematic movement screening tool, methods of assessment and measurement must be validated according to a criterion measure. Three-dimensional motion analysis is currently considered the criterion for lower limb motion analysis, although the setup is costly and impractical for coaches and/or clinicians to implement as part of an athlete movement screening process. Therefore, the aim of this study was to examine the reliability and validity of two-dimensional kinematic analysis of the lower limb and trunk segments for movement screening during stop-jump movement, as this may provide a more practical alternative for coaches and/or clinicians.Methods: Twenty-two junior pre-elite male basketball athletes performed five successful stop-jump movements, during which three- and two-dimensional lower limb and trunk motion was simultaneously recorded. Validity of two-dimensional data analysis was determined by comparing the two systems by linear regression to calculate the standard error of the estimate (SEE). Intra-rater reliability of two-dimensional kinematic data analysis was assessed by analysi
Original languageEnglish
Publication statusPublished - 2012
EventInternational Congress on Physical Activity and Public Health, Australian Conference of Science and Medicine in Sport and the National Sports Injury Prevention Conference - Sydney, Australia
Duration: 31 Oct 201203 Nov 2012

Conference

ConferenceInternational Congress on Physical Activity and Public Health, Australian Conference of Science and Medicine in Sport and the National Sports Injury Prevention Conference
Country/TerritoryAustralia
Period31/10/1203/11/12

Fingerprint

Dive into the research topics of 'Reliability and validity of two-dimensional motion analysis during a stop-jump movement'. Together they form a unique fingerprint.

Cite this