Multiple time scale models in sport and exercise science
In sport and exercise research, examining both within- and between-individual variation is crucial. The ability to investigate change both within competitive events and across a competitive season is a priority for many sport researchers. The aim of this article is to demonstrate an approach to analyzing intensive longitudinal data collected through time-scale-dependent longitudinal designs. Following didactic presentation of the approach, two illustrations from secondary data analysis are used to describe the modeling process in detail. Illustration 1 includes affective response data from an exercise intervention randomized pilot study. Illustration 2 uses referee and player distance data collected during professional soccer games in the English Premier League. Each illustration describes a process for testing and comparing multiple time scale models based on the three-level multilevel model, and results are interpreted. In the discussion, advantages and limitations of the approach are highlighted. ABSTRACT FROM AUTHOR
© Copyright 2016 Measurement in Physical Education and Exercise Science. Taylor & Francis. Julkaistu Tekijä Taylor & Francis. Kaikki oikeudet pidätetään.
Aiheet: | tutkimusmenetelmä liikuntatiede matematiikka matemaattis-looginen malli mallintaminen |
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Aihealueet: | tekniset ja luonnontieteet valmennusoppi yhteiskuntatieteet |
DOI: | 10.1080/1091367X.2016.1195390 |
Julkaisussa: | Measurement in Physical Education and Exercise Science |
Julkaistu: |
Philadelphia
Taylor & Francis
2016
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Vuosikerta: | 20 |
Numero: | 4 |
Sivuja: | 185-199 |
Julkaisutyypit: | artikkeli |
Kieli: | englanti (kieli) |
Taso: | kehittynyt |