Workshop - “Structural Equation Modeling with Lavaan"

31.01.2020 09:30 – 17:30

Structural Equation Modeling with Lavaan

Abstract
Structural equation modeling (SEM) is a general statistical modeling technique to study the relationships among a set of observed variables. It spans a wide range of multivariate methods including path analysis, mediation analysis, confirmatory factor analysis, growth curve modeling, and many more.

The aim of this workshop is twofold. First, we will present a concise overview of the theory of structural equation modeling (SEM), including many special topics (e.g. handling missing data, nonnormal data, categorical data, longitudinal data, and multilevel data). Second, hands-on sessions are included in order to ensure that all participants are able to perform the analyses using SEM software. The software used in this workshop is the open-source R package `lavaan' (see http://lavaan.org ).

Outline

- introduction to SEM
- introduction to lavaan
- multiple groups and measurement invariance
- missing data and non-normal (continuous) data
- categorical data
- longitudinal SEM
- multilevel SEM

Prior knowledge

Participants should have a solid understanding of regression analysis and basic statistics (hypothesis testing, p-values, etc.). Some knowledge of exploratory factor analysis (or PCA) is recommended, but not required. Because lavaan is
an R package, some experience with R (reading in a dataset, fitting a regression model) is recommended, but not required. To optimally prepare for this workshop, it is recommended to do some background reading on SEM, and to read the lavaan paper (see references below).

What to bring to the workshop

All participants are requested to bring their laptop. Please make sure you have installed a recent version of R (3.6.1 or higher), and the latest version of lavaan (0.6-5 or higher). If you prefer to work with RStudio as a front end, that is fine too.

About the instructor

Prof. Yves Rosseel is the developer of Lavaan, a widely used and useful R package for latent variable modeling. He has ample experience holding Lavaan workshops and providing statistical consulting. More generally, Yves Rosseel is interested in applying modern data-analytical techniques to answer research questions in Psychology and Educational Sciences. To this end, he started a faculty-wide statistical consultancy service for research staff, and founded the neuroimaging data analysis research group in his department.

Optional reading list

Kline, R. B. (2011). Principles and practice of structural equation modeling (Third Edition). New York: Guilford Press.

Rosseel, Y. (2012). Lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1-36.

MacCallum, R. C., & Austin, J. T. (2000). Applications of structural equation modeling in psychological research. Annual review of psychology, 51(1), 201-226.

Tomarken, A. J., & Waller, N. G. (2005). Structural equation modeling: Strengths, limitations, and misconceptions. Annu. Rev. Clin. Psychol., 1, 31-65


REGISTRATION REQUIRED
Apply at: https://formulaire.unige.ch/cisa/survey/index.php/45494?lang=en
Application deadline: December 13th 2019

Lieu

Bâtiment: Campus Biotech

H8.01.D

entrée libre

Fichiers joints

Workshop - Yves Rosseel.pdf

179.3 Kb