Class Data Analysis

The curricular unit aims to promote theorical skills (statistical knowledge) and pratices in the field of data processing, using the IBM/SPSS satistical package for this propose.

Not applicable

Introduction to data analysis Variables: type, nature and levels of measurement Statistics as a branch of mathematics Descriptive statistics and inferential statistics Some descriptive statistics Frequencies Inferential statistics: a) Parametric statistics: Student´s t-test, One-way ANOVA, Chi-square test of independence. b) Non-parametric statistics: Mann-Whitney U-test, Kruskall-Wallis H-test, Chi-square goodness-of-fit-test. Introduction to IBM/SPSS and its main functions. Overview of “Data View” and “Variable View”. Basic operations: recode and create composite variables, Graphs. How to request descriptive, parametric and non-parametric statistics. Interpretation of statistical data and writing reports.

In this curricular unit, initially, the expository method is privileged in theoretical contents and the demonstrative method in the presentation of the statistical package. Secondly, the active method is prioritized, focusing on know-how, which will be achieved with a lot of practice in data processing, using existing databases.

Martins, C. (2011). Manual de análise de dados quantitativos com recurso ao IBM SPSS. Braga: Psiquilibrio.   Pereira, A. & Patrício, T. (2013). SPSS – Guia prático de utilização. Lisboa: Edições Sílabo.   Pestana, M. H. & Gageiro, J. N. (2014). Análise de dados para ciências sociais – a complementaridade do SPSS. Lisboa: Edições Sílabo.   Pinto, R. R. (2008). Introdução à Análise de Dados com recurso ao SPSS. Edições Sílabo.   Maroco, J. (2021). Análise estatística com o SPSS. ReportNumber.