Latent Variable Growth Curve Modelling
This workshop by Professor Gordon Cheung presents Latent Variable Growth Curve Modelling (LGM) for analysing longitudinal studies with latent variables.
We last ran this course in February 2020. For any enquiries about this course or to express interest in it, please email email@example.com.
Professor Gordon Cheung
This course assumes that participants have a basic of structural equation modelling and experience with using Mplus. Participants who do not possess these are strongly encouraged to attend the 2-day Introduction to Structural Equation Modelling with Mplus first.
This 1-day workshop presents Latent Variable Growth Curve Modelling (LGM) for analysing longitudinal studies with latent variables. It provides:
- the basic concepts behind LGM and the assumptions involved,
- understanding of various shape of growth over time,
- understanding of LGM involving predictors of change and consequences of change, and
- Mplus syntax for testing LGM.
Hands-on data analysis with examples will be provided.
Chan D (1998). The conceptualization and analysis of change over time: An integrative approach incorporating longitudinal mean and covariance structures analysis (LMACS) and multiple indicator latent growth modeling (MLGM). Organizational Research Methods, 1, 421–483.
Chan D & Schmitt N (2000). Inter-individual differences in intra-individual changes in proactivity during organizational entry: A latent growth modeling approach to understanding newcomer adaptation. Journal of Applied Psychology, 85, 190–210.
Duncan TE, Duncan SC, Strycker LA, Li F, Alpert A (1999). An introduction to latent variable growth curve modeling: Concepts, issues, and applications. Mahwah, NJ: Lawrence Erlbaum Associates.
Lance CE, Vandenberg RJ, Self RM (2000). Latent growth models of individual Change: The case of newcomer adjustment. Organizational Behavior and Human Decision Processes, 83, 107–140.