My research relates to physical education and health-enhancing
exercise psychology in children and
adolescents across follow-up studies and interventions influencing motivation, physical activity, motor competence, and
I have previously implemented a variety of structural equation models, for instance regression models, path models, contrast models, mixed multi-level models, latent growth curve models (LGCM), latent class analysis (LCA), latent transition analysis (LTA), latent class growth analysis (LCGA). These can be widely applied to research in health and physical education and sport and exercise psychology.
Seminar presentations and education covering the
topics of physical activity promotion, exercise motivation, and health
behaviors in populations at different ages, for instance for workplace
health promotion are available. See Publications for
tutoring and modelling out of previously collected data using
quantitative research methods are available. Request further details.
Examples of Statistical Modelling
Example 1. Interpreting and reporting the results of a Confirmatory Factor Analysis (CFA).
Example 2. Interpreting and reporting the results of a Latent Growth Curve Model (LGCM).
Example 3. Interpreting and reporting the results of a Regression Auxiliary Model (Step 1 & 2).