Training and Events
Structural Equation Modelling (bookings closed)
|University of Nottingham|
Professor Cees van der Eijk
23/03/2017 - 24/03/2017
University Park, University of Nottingham
View in Google Maps (NG7 2RD)
Two day training block.
Structural Equation Modelling (SEM) is a form of multivariate analysis, just like, e.g., regression analysis is. The main difference is that in a regression model variables are either independent, or dependent. In a SEM model variables can also be mediating: they are dependent with respect to some other variables, yet independent for yet other ones. Obviously, this comes much closer than a regression model to represent many of our substantive theories that propose networks of causal relationships between variables, and chains of causation. The course covers the methodological background of SEM, practical considerations in actual applications, empirical examples from different disciplines, and hands-on training (using AMOS).
The measurement elements of structural equation modelling (i.e., confirmatory factor analysis, or CFA) will be discussed, but much of this is addressed in more detail in a different DTC course (Measurement Models, taking place on 16 and 17 February 2017). Although there is no requirement to do so, there is therefore a distinct benefit in taking both courses.
Please note that participants are required to have studied quantitative methods at masters level or equivalent.
Please also note this is an interdisciplinary module that is open to students from across the social sciences. If you have any doubts about whether the course is suitable for your needs or level of study, please contact the course presenter / convenor before registering.
Advanced (specialised prior knowledge)
Quantitative Approaches (other), Structural equation models
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