Class Data Analysis

  • Presentation


    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.

  • Code


  • Syllabus


    Introduction to data analysis

    The main types of data analysis

    Variables: type, nature and levels of measurement

    Statistics as a branch of mathematics

    Descriptive statistics

    Descriptive statistics and inferential statistics

    Location and position measurements

    Measures of central tendency

    Measures of non-central tendency

    Dispersion measures

    Skewness and kurtosis


    Inferential statistics

    Parametric statistics: Student´s t-test, One-way ANOVA, Chi-square test of independence

    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.

  • Objectives


    It is intended that students acquire:

    a) Previous statistical knowledge (descriptive and inferencial statistics) so that they can later handle statistical packages.

    b) Skills in the field of data processing using the IBM/SPSS satistical package.

  • Teaching methodologies and assessment

    Teaching methodologies and assessment

    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.


  • References


    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.


    Maroco, J. (2021). Análise estatística com o SPSS. ReportNumber.


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