Latent Growth Curve Analysis with Time-dependent Observations

This project aims to develop a better and more flexible program-general SEM method within the traditional SEM framework to analyze longitudinal data when individuals have their own unique metrics of time of observation. The results will not only provide useful information for researchers to select an appropriate statistical method for studying growth over time, but will also demonstrate the situations when the proposed method works best in studying individual growth.

Funding Source: RGC - Early Career Scheme (ECS)