Using Expert Knowledge to Inform Multivariate Analyses

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aut.relation.conferenceInternational Society of Biomechanics in Sporten_NZ
aut.relation.endpage1031
aut.relation.issue1en_NZ
aut.relation.startpage1028
aut.relation.volume36en_NZ
aut.researcherMillar, Sarah-Kate
dc.contributor.authorOldham, Ten_NZ
dc.contributor.authorMillar, S-Ken_NZ
dc.contributor.editorHume, Pen_NZ
dc.contributor.editorAlderson, Jen_NZ
dc.contributor.editorWilson, Ben_NZ
dc.date.accessioned2020-07-21T02:56:29Z
dc.date.available2020-07-21T02:56:29Z
dc.date.copyright2018-11-26en_NZ
dc.date.issued2018-11-26en_NZ
dc.description.abstractThis paper outlines methods and reasoning that advocate for the use of expert Coach and Athlete knowledge in support of mutivaraite analyses in Sport Biomechanincs and related disciplines. It argues that human movement research involving the collection of multiple dependent variables suffers similar problems to other areas of behavioural science, in that models proposed for analyses are inadequately constrained by other data and are vulnerable to a-posteori modification that lacks sound theoretical or evidential justification. An approach is presented where expert accounts of how successful movements are performed are captured and analysed qualitatively, in order to present data themes that may be used to identify important events and variables for analyses when quantitatively examining movement. This paper argues for the utility of a specific mixed-methods approach to movement research involving multiple dependent variables.
dc.identifier.citationISBS Proceedings Archive: Vol. 36: Iss. 1, Article 254.
dc.identifier.urihttps://hdl.handle.net/10292/13540
dc.publisherInternational Society of Biomechanics in Sports (ISBS)
dc.relation.urihttps://commons.nmu.edu/isbs/vol36/iss1/254/en_NZ
dc.rights© International Society of Biomechanics in Sports (ISBS), 2018. Reproduction, posting, transmission or other distribution or use of the article or any material therein, in any medium as permitted by a personal-use exemption or by written agreement of , requires credit to as copyright holder (e.g., © ).
dc.rights.accessrightsOpenAccessen_NZ
dc.subjectMultivariate analyses; Expert knowledge; Mixed-methods
dc.titleUsing Expert Knowledge to Inform Multivariate Analysesen_NZ
dc.typeConference Contribution
pubs.elements-id384917
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Health & Environmental Science
pubs.organisational-data/AUT/Health & Environmental Science/Sports & Recreation
pubs.organisational-data/AUT/Health & Environmental Science/SPRINZ
pubs.organisational-data/AUT/PBRF
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences
pubs.organisational-data/AUT/PBRF/PBRF Health and Environmental Sciences/HS Sports & Recreation 2018 PBRF
pubs.organisational-data/AUT/zTest
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