Structural Equation Modeling

Course details

statistics seminar | level: intermediate | register now
for questions related to this event, contact ugent@flames-statistics.com
affiliation: Ghent University

Abstract

Certain factors, measures or constructs (hereafter referred to as latent) are difficult if not impossible to directly measure yet are worthy of investigation. For example, in the social sciences, constructs such as intelligence, ability, trust, motivation etc. cannot be directly observed because there are no operational methods for doing so. However, objective observed measures exists that are indicators of these latent constructs even though they are associated with measurement error.

Structural equation modeling (SEM) provides a flexible framework that offers the opportunity to construct latent variables, estimate relationships among these variables, while ensuring that these relationships are free of the measurement error associated with the observed indicator variables.

In this seminar, we will briefly touch on five steps that characterize most SEM applications: Model formulation, model identification, model estimation, model evaluation and model modification with some examples using the lavaan package in R.

Prerequisites

Basic notions about linear regression

Background readings

Fee

Free

Venue

Online

Instructor

Emmanuel Abatih