Multiple time scale models in sport and exercise science

(Multiple Zeitskalenmodelle in Sport- und Trainingswissenschaft)

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. Veröffentlicht von Taylor & Francis. Alle Rechte vorbehalten.

Schlagworte: Untersuchungsmethode Sportwissenschaft Mathematik mathematisch-logisches Modell Modellierung
Notationen: Naturwissenschaften und Technik Trainingswissenschaft Sozial- und Geisteswissenschaften
DOI: 10.1080/1091367X.2016.1195390
Veröffentlicht in: Measurement in Physical Education and Exercise Science
Veröffentlicht: Philadelphia Taylor & Francis 2016
Jahrgang: 20
Heft: 4
Seiten: 185-199
Dokumentenarten: Artikel
Sprache: Englisch
Level: hoch