Faculdade de Ciências Sociais e Humanas

Multivariate Data Analysis - 2nd semester

Code

711081059

Academic unit

Faculdade de Ciências Sociais e Humanas

Department

Sociologia

Credits

6

Teacher in charge

Manuel Gaspar da Silva Lisboa

Weekly hours

4

Teaching language

Portuguese

Objectives

a) Understanding of how to use systematic, statistical and computer processing of data in relation to the general research strategy;
b) Knowledge of and ability to apply mediator operations between the research dossier and analytical protocol;
c) Ability to define the technical specifications for data analysis;
d) Knowledge of and ability to use the principal statistical solutions for purpose of multivariate data analysis in Sociology;
e) Knowledge and ability to use the analyses and measures of association for purposes of multivariate processing;
f) Understanding of modes of integration in analytical protocols, factor analysis (simple and multiple) and post factor analysis techniques;
g) Understanding of algorithms of simple and multiple multivariate analyses;
h) Ability to use the main computer programmes for statistical processing on the market;
i) Ability to communicate the results of multivariate statistical analyses and their interpretation in a rigorous and significant manner.

Prerequisites

The students must have completed 48 ECTS credit units.
Prior attendance of the following classes is recommended: Social Science Theory and Methodology, Sociological Research Methods and Techniques: Sampling and Surveying, and Univariate and Bivariate Data Analysis.

Subject matter

1. Definition of the stages and principal instruments required for the systematic operation of sociological research strategies
2. Variables, statistical processing and definition of analytical protocols
3. Encoding of survey data and production of data matrices
4. Systematisation of statistical knowledge applied to the processing and analysis of survey data, at a univariate and bivariate level
5. Initiation to multivariate analysis techniques
5.1. Introduction to the mathematical algorithms required for the correct use of the techniques
5.2. Introduction to the parameters and basic techniques required for the use of the main computer programmes for statistical processing on the market.

Bibliography

Bryman, A. & Cramer, D. (2003). Análise de dados em ciências Sociais: Introdução às técnicas utilizando o SPSS. Oeiras: Celta.
Busca, D. & Toutain, S. (2009). Analyse factorielle simple en sociologie. Méthodes d’interprétation et études de cas. Bruxelles: De Boeck .
Cibois, Ph. (1984). L´analyse des données en sociologie. Paris: PUF.
Ghiglione, R. & Matalon, B. (1992). O inquérito: Teoria e prática. Oeiras: Celta.
Jambu, M. (1999). Méthodes de base de l’analyse des données. Paris: Eyrolles.

Teaching method

Lectures presenting systematized and structured knowledge of both tehoretical and technical nature;
Exercises carried out in practical classes and as homework.

Evaluation method

Continuous evaluation of exercises carried out in class (30%);
A written test in class (70%).

Courses