The unit of Quantitative Methods comprises a wide and practical approach of statistic techniques both at the level of descriptive statistics and at the level of statistical inference or estimation. Students will be able to understand the different statistical techniques covered and to use the SPSS software (Statistical Package for the Social Sciences) to implement them. With this, students will gain expertise to develop their research project (dissertation).
1. Introduction
2. Descriptive Statistics
3. Statistical Inference
4. Comparison of counts and proportions
5. Parametric tests to compare populations from independent and paired samples
6. Non-parametric tests to compare population from independent and paired samples
7. Analysis of principal components
8. Factor analysis
9. Clusters’ analysis
10. Multidimensional scaling
11. Discriminant analysis
12. Linear regression
13. Categorical regression
The main focus is on practical applications. However, a theoretical introduction of all subjects is performed, in which the notation and the most important demonstrations are presented. The presentation of the different techniques is performed with the SPSS software (Statistical Package for the Social Sciences).
Maroco, J. (2007). Análise estatística com a utilização do SPSS, Edições Sílabo, 3ª Edição.
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