Data Analysis

Recommended Prerequisites

  Statistical Methods  

Teaching Methods

The course provides theoretical and practical classes, with the presentation of the main topics followed by the resolution of real data exercises and empirical applications performed with the use of SPSS, AMOS, and MAXQDA software.

A mixed assessment system is used, comprising individual works and a written test. 

Learning Outcomes

The objective of this course is to further the knowledge of quantitative and qualitative data analysis methods to allow a more informed choice of instruments to be used in research.

Doctoral students should be able to choose and apply the most appropriate techniques of data analysis to the research that they will develop in their thesis.

Work Placement(s)

No

Syllabus

Quantitative data analysis methods:

- Cluster Analysis

- Exploratory factor analysis

- Confirmatory factor analysis

- Structural equations models

Qualitative data analysis methods:

- Introduction to Content Analysis

- Basic procedures for research using content analysis

- Qualitative data analysis using MAXQDA

Head Lecturer(s)

Mário António Gomes Augusto

Assessment Methods

Assessment
Periodic or by final exam as given in the course information: 100.0%

Bibliography

Bardin, Laurence (2011), Análise de Conteúdo. Coimbra: Edições 70

Byrne, Barbara M. (2016), Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming. 3ª Ed. (ou mais recente), Routledge, Taylor & Francis Group

Glaser, Barney G. (2009), The Discovery of Grounded Theory: Strategies for Qualitative Research. New Brunswick: Aldine Transaction

Guerra, Isabel Carvalho, 2006, Pesquisa Qualitativa e Análise de Conteúdo. Lisboa: Princípia

Hair, Joseph F. Jr; Black, William C.; Babin, Barry J. e Anderson, Rolph E. (2014), Multivariate Data Analysis. 7ª Ed. (ou mais recente) Pearson Prentice Hall, New Jersey

Krippendorf, Klaus (2013), Content Analyses. An Introduction to Its Methodology. Los Angeles: Sage Publications

Lisboa, João; Augusto, Mário e Ferreira, Pedro (2012), Estatística Aplicada à Gestão. Vida Económica – Editorial, S.A., Porto

Miles, Mathew B. e Huberman, A. Mitchael (1994), “Introduction”, in Idem, Qualitative Data Analysis. Thousand Oaks, Lon