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Class Data Analysis

  • Presentation

    Presentation

    To prepare students for the application of statistical techniques, descriptive and inferential, to analyze
    data on the context of the course, based on the acquirement of a solid knowledge of basic and
    fundamental concepts on applied statistics.
    To prepare the student for doing academic scientific essays in the area of his/her cycle of studies, based
    on the development of a logic and organized reasoning that allow the definition of valid hypothesis and an
    adequate presentation of statistical results.
    At the end of this unit, the students should:
    1. Develop skills in the application of statistics, descriptive and inferential techniques in data
    analysis;
    2. Apply the knowledge learned in formulating valid hypotheses and presenting
    statistical results adequately.

  • Code

    Code

    ULHT6358-6944
  • Syllabus

    Syllabus

    PC1.    Introduction to SPSS, databases creation and organization

    PC2.    Descriptive statistics and exploratory

    PC3.    Inferential statistics

    PC4.    Parametric and nonparametric statistics

    PC5.    Statistical power and effect size

    PC6.    Analyses of association and correlation

    PC7.    Univariate and bivariate group comparisons

    PC8.    Simple regression analysis

  • Objectives

    Objectives

    OA1: Build an SPSS database and its syntax

    OA2: Formulate hypotheses and make test decisions to be chosen based on the metric and methodological properties of the variables, as well as on the assumptions for performing parametric tests

    OA3: Perform exploratory data analysis, descriptive and inferential analysis (uni-bivariate)

    OA4: Interpreting outputs

    OA5: Write results using scientific language in accordance with APA standards

    OA6: Apply the skills developed to practice

  • Teaching methodologies and assessment

    Teaching methodologies and assessment

    Theoretical-practical exposition of the main models and analysis techniques. Systematized practical analysis and exercises in creation, development and analysis of databases and respective statistics
  • References

    References

    Field, A. (2013). Discovering Statistics Using SPSS (4ª ed). London: Sage.

    João Marôco. (2014). Análise Estatística com o SPSS Statistics. 6ª edição. ReportNumber, análise e gestão de informação, LDA.

    Martin, W. E. & Bridgmon, K. D. (2012). Quantitative and Statistical Research Methods: From Hypothesis to Results. San Francisco, CA: John Wiley and Sons

    Martins, C. (2011). Manual de Análise de Dados Quantitativos com recurso ao IBM SPSS: Saber decidir, fazer, interpretar e redigir. Braga: Psiquilibrios.

    Nikos Ntoumanis. (2001). A Step-by-Step Guide to SPSS for Sport and Exercise Studies. Publisher Routledge

    Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. (5th ed.) Boston: Allyn and Bacon

     

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