Quantitative Data Analysis (2 º Sem 2020/2021)

Program

Measurement problems in Data Analysis in Social Sciences

1. Preliminary processing of data:

- Variable transformation;
- Creation of synthetic indices and measures of reliability (Cronbach's Alpha).

2. Univariate data analysis:

- Description of the data: frequencies and descriptive statistics.

3. Bivariate data analysis:

- Variable crossings;
- Independence tests (parametric and non-parametric).

4. Multivariate data analysis:

- Simple, multiple and logistic linear regression;
- Analysis of main components;
- Cluster analysis: targeting audiences.