Longitudinal Studies and Latent Variable Growth Curve Modelling

Dates

Auckland: Wednesday 27 February 2019

Instructor

Professor Gordon Cheung

Prerequisites

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.

Course outline 

This 1-day workshop presents Latent Variable Growth Curve Modelling (LGM) for analysing longitudinal studies with latent variables. It provides:

  1. the basic concepts behind LGM and the assumptions involved,
  2. understanding of various shape of growth over time,
  3. understanding of LGM involving predictors of change and consequences of change, and
  4. Mplus syntax for testing LGM.

Hands-on data analysis with examples will be provided.

References

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.