Teaching Methodologies
The classes are theoretical-practical in which the concepts and statistical methodologies are introduced and explained, followed by the
presentation of application examples. Activities involving the presentation, resolution and discussion of problems with multivariate data are
developed using statistical software.
Learning Results
In this curricular unit, it is intended to introduce the techniques of multivariate data analysis, paying attention to the methodologies as well as
its validation conditions and the interpretation of the results. It is also intended to provide students with specific technical skills that allow
them to implement solutions to different problems involving multiple variables and uncertainty.
At the end of the semester, students should be able to:
– perform analysis of variance and multivariate analysis of variance;
– perform factor analysis;
– perform cluster analysis;
– perform regression analysis (linear and logistic);
– use a statistical software to support multivariate data analysis.
Program
1. Introduction to Multivariate Analysis
2. Analysis of Variance (ANOVA)
2.1 Parametric approach
2.2 Non-parametric approach
3. Multivariate Analysis of Variance (MANOVA)
3.1 Parametric approach
3.2 Non-parametric approach
4. Factor Analysis
5. Cluster Analysis
6. Extensions to Linear Regression
7. Logistic Regression
Internship(s)
NAO
Bibliography
Maroco, J. (2021). Análise Estatística com o SPSS Statistics. 8ª Edição, ReportNumber.
Hair, J. F., Black, W. C, Babin, B. and Anderson, R. (2019). Multivariate Data Analysis, 8th Edition, Cengage.
Tintle,N., Chance,B.L., McGaughey, K., Roy,S., Swanson, T., & VanderStoep, J. (2020). Intermediate Statistical Investigations, 1st Edition,
Wiley.
Afifi, A., May, S., Donatello, R.A & Clark, V. A. (2019). Practical Multivariate Analysis, 6th Edition, CRC Press.
Alwan, L.C., Craig, B.A. & McCabe, G.P. (2020). The Practice of Statistics for Business and Economics, 5th Edition, W.H.Freeman & Co
Ltd.
Pestana, M.H. & Gageiro, J.N. (2014). Análise de Dados para Ciências Sociais, 6ª Edição, Edições Sílabo.