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 investigated. The parameters of SEMs can be estimated and tested by means of several computer programs.
This course focuses on formulating substantial theories into SEM models. Students learn how to use the computer program EQS and how to interpret the results of the analysis. Illustrations will be discussed coming from several research areas, like the multitrait-multimethod method, the Fishbein-Ajzen model and models for impression formation.
Coordinator
Prof. Dr. A. Mooijaart
Room 3B18
Tel.: +31 (0)71 527 3770
E-mail: mooijaart@fsw.leidenuniv.nl
Aims
Students learn the basics of the structural equation methodology.
Furthermore, the students learn to analyze real data sets by using the computer program EQS.
Literature
Byrne, B.M. (2006). Structural Equation Modeling with EQS, Basic Concepts, Applications, and Programming. Thousand Oaks, CA: Sage
Examinations
Graded assignments and a final paper.
From January 1, 2006 the Faculty of Social Sciences has instituted the Ephorus system to be used by instructors for the systematic detection of plagiarism in students’ written work. Please see the Additional Rules and Regulations, section 6.
Education method(s)
Lectures and workgroups, supervised
Enrolment
Introduction and enrollment for courses of the first semester will take place August 27th 2009. Introduction and enrollment for courses of the second semester will take place in January 2010. More information will be available at the website of the Department of Psychology.
Blackboard
Information available on www.blackboard.leidenuniv.nl