The study is designed to measure executive function in children in 3 consecutive years. The children will come into the lab annually with their parent. Since executive function is itself a highly complex phenotype, a battery of standardized tests will be used.
Dear Ada,
here are good advise: https://aifs.gov.au/publications/childrens-health-and-development/3-longitudinal-studies-children-and-youth-implications
Article Longitudinal studies of children and youth Implications for ...
Dear Beatrice
Great answer! thank you very much! Do you have guidance about the best statistical approaches for discriminating trajectories?
The one who probably is the best to answer that question is Jochen.
Best Béatrice
As the authors of the article suggested, Latent Growth Modelling (LGM) is often suitable for capturing growth trajectories. I am currently using it in my longitudinal study, but the nature of your data and your research questions (whether you want to reveal latent-unobserved classes) will determine the type of LGM (e.g., Latent Class Growth Modelling or Growth Mixture Models) and any other analysis as suggested in the article above. If you want to read further on LGM, the article of Muthen & Muthen (2006) is particularly useful [Muthen & Muthen (2006). An Introduction to Latent Growth Curve Modeling. BEHAVIORTHERAPY, 35,333-363.].
Best,
Uzay
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