Master’s students with a profound background in elementary statistics and methods of research.
Structural Equation Models (SEMs) are linear models by which the structure of the means and the covariances among a set of observed variables can be described. It is assumed that this structure arises from the pattern of interrelations among a set of latent variables and/or a set of observed variables. SEMs can be used to do confirmative factor analysis and to fit “causal” models for observed and latent variables. These variables may be continuous or categorical variables. Furthermore, multiple group analysis can be performed. The parameters of SEMs can be estimated and tested by means of several computer programs.
This course focuses on translating substantial theories into SEMs. It offers students an introduction into structural equation methodology. Additionally, students acquire basic skills in the application of the computer program EQS: they learn how to use the program and how to interpret the results of the analysis. Illustrations will be discussed coming from several research areas.
Structural Equation Models (2011-2012):
Mode of instruction
Supervised computer practicals.
Take home exam.
Structural Equation Models occasionally uses
Byrne, B.M. (2006). Structural Equation Modeling with EQS, Basic Concepts, Applications and Programming (2nd edition). Thousand Oaks, CA: Sage
Master’s introduction and enrolment day
Make a reservation in your agenda so you will not miss any information that you will need during your master’s programme MSc in Psychology. Please consult the Agenda master meetings
Dr. M. van der Leeden
Methodology and Statistics Unit, room 3B21
Tel: +31(0)71 527 3763