Structural Equation Modelling

02-03 June 2022

Mme Elisa Volpi, coordinatrice CUSO et M. Jérémie Poltier, Université de Genève

Prof. Levente Littvay, Central European University

The workshop is designed to provide scholars with a basic understanding of structural equation modeling (SEM). Special attention is given to the translation of theoretical expectations into SEM, the interpretation of results in SEM analyses and the general use and misuse of SEM in the social sciences. While the workshop is predominantly designed to give you the knowledge of SEM we start with a quick introduction of necessary foundations like correlations, covariances, regression and factor analysis. Applications will include path models, confirmatory factor analyses and structural equation models. The goal of the workshop is to offer a basic introduction and the foundation for scholars to start using and critically assessing SEM and also have the ability to independently discover and master advanced SEM statistical topics. Upon completion the participants will have a basic conceptual understanding of SEM and its statistical foundations. Participants will be able to critically assess the appropriateness of such techniques in their own and other people’s research and conduct SEModeling themselves to the highest academic standards. 

Prerequisites for the workshop: The workshop aims at the level of researchers with prior statistical training. Anyone registering should be an experienced user of regression, know the basics of inferential statistics and should have heard of (exploratory) factor analysis, at least at the informed consumer level. It would be extremely helpful to have basic functional knowledge of R. At minimum you should know how to manage files in R, install and load packages, load data and run basic analytical commands. I am not proud of it but for years I did my data cleaning in SPSS and when I needed to, I loaded the clean data in R and ran whatever I needed to run. If you can install R [and RStudio], know how to load data and run basic things like the lm command for linear regression, even if you do a google search before every line of code, you are ready for this workshop. If not, please get there before we begin. It is not much. You can do it. Please bring your computers with R and Lavaan installed. RStudio highly recommended unless you have an Integrated Development Environment (IDE) you prefer.

2 full days - Room 340.1 Amphipôle, Lausanne

Lausanne

15