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Introduction to Structural Equation Modelling (using EQS) 2


Semester 2, 2021-2022

Type of course

Methodological and Practical Courses


June 29, 2022


Leiden University


1 day

Maximum number of participants



0.5 EC will be appointed for participation in the complete course


Edwin Boezeman

Many research journals require that survey researchers analyze their survey data, and test their hypotheses, with structural equation modeling (SEM). SEM belongs to the family of regression analysis techniques, and is often preferred because it allows for an overall test of a hypothesized path model plus the tests of the hypothesized direct and indirect (i.e., mediation) interrelations between model variables. Thus, a SEM-analysis is less cumbersome and more straightforward than an analysis involving a series of multiple regression analyses and/or mediation analyses (as with Hayes’ PROCESS when having multiple independent variables). Therefore, in the current workshop students will learn a) about SEM as method for data analysis, b) how to apply SEM using the EQS software, c) how research journals would like researchers to report about SEM, and d) how to do the SEM in such a way that reviewers will like, and hopefully not reject, your survey research paper.   

Learning goals
1) Basic understanding of SEM as method for data analysis (survey data) 
2) Basic EQS statistical software skills for conducting SEM 
3) Knowledge of how to report about SEM in research manuscripts 
4) Knowledge of the SEM “do’s and don’ts” of reviewers  

Read the guide to SEM of Weston and Gore (2006).  Literature: Doosje, B.J. (2019). EQS manual for beginners (Version 6). University of Amsterdam (available via teaching staff KLI) Weston, R. & Gore, P. A. (2006). A brief guide to structural equation modeling. The Counseling Psychologist, 34, 719-751.