Cross-lagged structural equation modeling and latent growth modeling

• 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.

Ämnesord

SAMHÄLLSVETENSKAP  -- Psykologi (hsv//swe)

SOCIAL SCIENCES  -- Psychology (hsv//eng)

NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)

NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Idrottsvetenskap (hsv//swe)

MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Sport and Fitness Sciences (hsv//eng)

Nyckelord

analysis of change

cross-lagged panel model

latent growth modeling

repeated measures

analysis of change

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