Tim Newans|Phillip Bellinger|Christopher Drovandi|Simon Buxton|Clare Minahan
The Utility of Mixed Models in Sport Science: A Call for Further Adoption in Longitudinal Data Sets
Griffith University|Queensland Academy of Sport|Griffith University|Queensland University of Technology|Australian Football League|Griffith University
sportscience research consistently contains repeated measures imbalanced data sets study calls adoption mixed models analyzing longitudinal sportscience data sets mixed models used understand whether level competition affected intensity womens rugby league match playa total 472 observations used compare mean speed female rugby league athletes recorded club state internationallevel competition athletes featured 3 levels competition multiple matches within competition ie repeated measures authors demonstrated mixed models appropriate statistical approach datathe authors determined repeatedmeasures analysis variance anova used statistical analysis present study least 487 data would omitted meet anova assumptions using mixed model authors determined mean speed recorded transtasman test matches 734 mmin1 mean speeds national rugby league women state origin matches 776 816 mmin1 respectively random effects team athlete match accounted variations mean speed otherwise could concealed main effects position level competition less flexible anovas usedthese data clearly demonstrate appropriateness applying mixed models typical data sets acquired professional sport setting mixed models readily used within sport science especially observational longitudinal data sets movement pattern analyses