Structural Equation Modeling – variance (SmartPLS) and covariance based (lavaan)

Professor
DIÓGENES DE SOUZA BIDO (Universidade Presbiteriana Mackenzie)
 

Short description of the course
The purpose of the course is to enable participants to: (i) Identify the situations in which PLS-SEM is the most recommended method; (Ii) Recognize the differences between variance-based and covariance-based structural equation modeling; (Iii) Use SmartPLS and lavaan in their research; (Iv) Evaluate the measurement and the structural model; (V) Raise awareness of the need for rigor in their analyses

Students of the FGV EAESP Master’s and Doctoral Program in Business Administration or in Public Administration and Government,  the credits earned will count toward the credits required in the following Concentration Areas:
• Administration, Analysis and Information Technology
• Corporate Strategy
• Marketing Strategies
 

The expected students' profile to attend the course and previous knowledge required:
Students must have completed and passed courses in quantitative methods or data analysis (in their master or Ph.D. course), whose contents include:
- hypothesis test and statistical significance
- correlation and linear regression
- exploratory factor analysis

Targeted audience: MSc and PhD students, professors and researchers from FGV and other Institutions.

Key information*
Credit
Class-hours
Date
Time
Place
Language
3
45
from July, 3 from July, 7 and from July, 17 from July, 21 (1st and 3rd week) (Monday to Friday)
 
morning - from 8 a.m. till 12 p.m
LEPI room 502, 5th floor
Português
* subject to change

Course Syllabusclick here

Enrollment Dates: from Apr, 26 till June, 23

Whant to enroll? Online Enrollment Application Form   - VACANCIES ARE ALREADY FILLED*

* If you truly meet the requirements to enroll in this course, send an e-mail to ei@fgv.br  and ask to have your name put on the "wait list" of students wanting to get into the course. If a seat becomes available we will send an email to the first eligible person on the wait list.

 

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