Multi-Level Analysis with SEM
This course by Professor Gordon Cheung presents analytical methods for multi-level studies with latent variables.
For any concerns regarding this course, please email firstname.lastname@example.org.
Tuesday 25 February 2020
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 one-day workshop presents analytical methods for multi-level studies with latent variables. It provides:
- the basic concepts behind multi-level organisational research,
- comparison of nested data and multi-level theory
- understanding of hierarchical linear models, and
- Mplus syntax for testing various forms of multi-level data and theory.
Hands-on data analysis with examples will be provided.
We have simplified our fee structure to make it easier to show up front. We no longer have an earlybird period, and the fees for this course are simply:
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.