Structural Equation Modelling

Program Overview

Católica Porto Business School's Structural Equation Modelling course provides a comprehensive foundation in SEM for PhD students and researchers. The online program covers statistical fundamentals, path analysis, factor analysis, latent variables, and multigroup analysis. Through daily assignments and "Meet the Researchers" sessions with industry experts, participants gain practical skills in applying SEM to their own data. The course includes 2 ECTS credits and runs from June 25 to July 1, 2024, with a cost of €275.

Program Outline

Degree Overview:

The program is a Structural Equation Modelling course offered by Católica Porto Business School. It's designed to provide a foundation in the knowledge and application of Structural Equation Modelling (SEM), a powerful analytical tool in social sciences. It's targeted at PhD students and researchers in marketing and behavioral sciences, though applicants from other fields with an interest in SEM are welcome. The course is entirely online.

Objective:

The main objective is to provide participants with a training experience that enables them to develop skills for both developing a real understanding of structural equation models and thoughtfully applying them to their own data.

Program Description:

The online course offers a foundation in Structural Equation Modelling (SEM), an analytical tool that addresses limitations of traditional multiple regression by allowing for multiple dependent variables, reciprocal effects, indirect effects, and the handling of measurement error through latent variables.

Outline:

The course covers the following topics across six working days, with classes held from 14:00 to 18:00:

• Path analysis:
This module covers path analysis techniques within the SEM framework.
• Confirmatory Factor Analysis:
This module focuses on confirmatory factor analysis, a crucial component of SEM.
• Structural Equation Models with latent variables:
This module delves into the use of latent variables in SEM.
• Multigroup analysis:
This module explores the application of SEM across different groups.
• Other applications of SEM:
This module covers additional applications of SEM beyond the core topics. The structure includes daily assignments applying concepts to a real dataset. These assignments are to be submitted by email by July 7, 2024.

Assessment:

The assessment consists of daily assignments completed outside of class, applying concepts and procedures taught to a real dataset. These assignments must be submitted by email by July 7, 2024.

Teaching:

Professor Carla Martins oversees the teaching. The course incorporates "Meet the Researchers" sessions featuring colleagues and researchers with SEM expertise who present case studies. Participants interact with researchers including Cristiana Lages, Maher Georges Elmashhara, Paulo Duarte, and Susana Costa e Silva, who share practical experiences and research insights.

Other:

The course runs from June 25th, 2024, to July 1st, 2024. Participants earn 2 ECTS credits. The investment cost is €275. The application deadline is April 30th, 2024, and the enrollment deadline is May 6th, 2024.

Investment: 275 €