The course – to be conducted totally online - provides a foundation of knowledge and use of Structural Equation Modelling. SEM is a powerful analytical tool within the social sciences that overcomes the limitations of traditional multiple regression by enabling the simultaneous inclusion of multiple dependent variables, reciprocal effects, indirect effects, and the estimation and removal of measurement error through the inclusion of latent variables in one model.
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 being able to thoughtfully apply them to their own data.
Target audience and entry requirements
This course is aimed at those interested in getting acquainted with structural equation modelling in an applied perspective, namely students and researchers in the fields of marketing and behavioral sciences.
Applicants can come from other fields of study, since they have interest in these techniques. Applicants can come from any country.
- Statistical Foundations of SEM
- Path analysis
- Confirmatory Factor Analysis
- Structural Equation Models with latent variables
- Multigroup analysis
- Other applications of SEM
This course will have lectures on the main topics listed above throughout 6 working days: 19, 20, 21, 22, 23 and 26 of June The classes will take place from 14:00 to 18:00 from the 19th to the 26th of June 2023 (6 working days), so that students from other locations (ex: Brazil and other European countries) can also take it.
Applicants should guarantee they have a web connection and that they would be available during those time slots of Portuguese time (GMT). Classes will be totally conducted in English. Applicants should attend 80% of classes, minimum, in case they are interested in the assessement and the correspondent ECTS.
Students will have daily assignemnts to be developed out of class, in which they will be asked to aplly concepts and procedures taught in sessions to a real dataset. The results of those assignments must be handed at the end of the process, via email, by the 1st July 2023. There will be no exam.
We ground in the knowledge of previous summers schools. Prof. Carla Martins will be in charge for all teaching. During classes (in “Meet the Reesearchers”), we will have the participation of other colleagues and researchers with experience in SEM that will present cases. Applicants will have the chance to meet our researchers, that may include our colleagues: Božidar Vlačić, Cristiana Lages, Maher Georges Elmashhara, Paulo Duarte and Susana Costa e Silva. These researchers will bring in their practical experience, presenting their own research experience