Data Analysis

Year
1

Academic year
2018-2019

Code
03637817

Subject Area
Quantitative Methods

Language of Instruction
Portuguese

Mode of Delivery
Face-to-face

Duration
QUARTERIAL

ECTS Credits
8.0

Type
Compulsory

Level
3rd Cycle Studies

Recommended Prerequisites

Econometrics

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 e 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)

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%