Multi-Level Analysis with SEM

This course by Professor Gordon Cheung presents analytical methods for multi-level studies with latent variables.

Contact

We last ran this course in February 2020. For any enquiries about this course or to express interest in it, please email nzssncourses@auckland.ac.nz.

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 one-day workshop presents analytical methods for multi-level studies with latent variables. It provides:

  1. the basic concepts behind multi-level organisational research,
  2. comparison of nested data and multi-level theory
  3. understanding of hierarchical linear models, and
  4. Mplus syntax for testing various forms of multi-level data and theory.

Hands-on data analysis with examples will be provided.

Fee structure

Student: $NZ225

Other: $NZ450

References

Chen G, Bliese PD, Mathieu JE (2005). Conceptual Framework and Statistical Procedures for Delineating and Testing Multilevel Theories of Homology, Organizational Research Methods, 8, 375–409.

Hofmann D (1997). An overview of the logic and rationale of hierarchical linear models. Journal of Management, 23: 723–744.

Klein K & Kozlowski SW (2000). From micro to meso: Critical steps in conceptualizing and conducting multilevel research. Organizational Research Methods, 3: 211–236.

Muthén LK & Muthén BO (1998–2015). Mplus User’s Guide (Seventh Edition). Los Angeles, CA: Muthén and Muthén, Chapter 9.