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Cross-lagged structural equation modeling and latent growth modeling
Umeå University, Faculty of Social Sciences, Department of Psychology.
2016 (English)In: An introduction to intermediate and advanced statistical analyses for sport and exercise scientists / [ed] Nikos Ntoumanis & Nicholas D. Myers, John Wiley & Sons, 2016, 131-154 p.Chapter in book (Refereed)
Abstract [en]

In sport and exercise psychology research, a variety of different methods that are more or less suitable are used to analyze data from studies with repeated measure designs depending on the research question of interest. The purpose of this chapter is to (a) discuss the importance of appropriately addressing and analyzing change, (b) demonstrate how to apply a cross-lagged panel model (CLPM) and latent growth curve modeling (LGM), and (c) discuss how CLPM and LGM can be used in sport and exercise science. To illustrate the procedure of conducting CLPM and LGM analyses, we use data from a longitudinal cohort design study with Swedish adolescents. Online supplemental material (Mplus data and input files) are provided (see Appendix 7.1 to 7.11).

Place, publisher, year, edition, pages
John Wiley & Sons, 2016. 131-154 p.
Keyword [en]
analysis of change, cross-lagged panel model, latent growth modeling, repeated measures
National Category
Probability Theory and Statistics
URN: urn:nbn:se:umu:diva-106929ISBN: 978-1-118-96205-3OAI: diva2:845797
Available from: 2015-08-13 Created: 2015-08-13 Last updated: 2016-03-05

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Stenling, Andreas
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