Class Métodos de Investigação em Psicologia Social e das Organizações II

  • Presentation


    This Course enables students to develop skills in data analysis for research in Psychology, focusing on techniques of quantitative data analysis in the field of psychometrics and inferential statistics, as well as qualitative data analysis.

  • Code


  • Syllabus


    PC1. Qualitative data analysis methods: Thematic analysis

    PC2. Quantitative data analysis methods: Descriptive statistics and inferential statistics

    PC3. Psychometrics

    PC3.1. Concept of psychometric scales and measurement theory in psychometrics

    PC3.2. Psychometric validation of measurement tests: Exploratory Factor Analysis and Confirmatory Factor Analysis

    PC4. Inferential Statistics:

    PC4.1. Univariate and Multivariate Analysis of Variance

    PC4.2. Analysis of Variance with Repeated Measures

    PC4.3. Linear relationship between two variables: Correlation, Simple and Multiple Linear Regression

    PC4.4. Mediation Models

    PC4.5. Moderation Models


    Note.  PC = program contents

  • Objectives


    LG1. Conduct a Qualitative data analysis 

    LG2. Understand psychometric theories and underlying assumptions in scale construction 

    LG3. Conduct a psychometric analysis of a scale and interpret its results 

    LG4. Comprehend the relationship between conceptual hypothesis, study design, statistical procedure, and statistical hypothesis 

    LG5. Apply Analysis of Variance and Multivariate Analysis techniques to problems in the domain of Psychology with within-subject and between-subjects samples 

    LG6. Apply Simple Linear, Multiple, Mediation, and Moderation Regression models to problems in the domain of Psychology 

    LG7. Choose and apply different statistical procedures considering research objectives and data type 

    LG8. Present and interpret the results obtained from data analysis clearly 

    LG9. Use a statistical analysis software appropriately and effectively.


    Note: LG = learning goal

  • Teaching methodologies and assessment

    Teaching methodologies and assessment

    The classes of this course, of a theoretical-practical nature (TP), have a primarily applied component, in which students apply the theoretical skills acquired through practical activities such as conducting, analyzing, and discussing applied data analysis procedures. The practical application of the learned concepts will also be carried out using data from a study developed by the students themselves in the course of Research Methods I, allowing them to explore all phases of a research process over the two semesters.

    To engage students in research conducted in the field of Psychology, published studies in international journals that utilize the taught models and analytical techniques will be presented. Additionally, whenever possible, students will be involved in ongoing research projects at the Research and Development Unit (HEI-Lab).

  • References


    . Braun, V., & Clarke, V. (2023). Toward good practice in thematic analysis: Avoiding common problems and be (com) ing a knowing researcher. International Journal of Transgender Health24(1), 1-6.

    . Field, A. (2017). Discovering statistics using IBM SPSS Statistics (5 th Ed.) . London: Sage.

    . Flick, U. (2009). Introdução à Pesquisa Qualitativa (3.ª Ed.). Porto Alegre: Artmed.

    . Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York:Guilford Publications.

    . Maroco, J. (2018). Análise estatística com o SPSS statistics ( 7ª Ed. ) Lisboa: ReportNumber.

    . Bardin,L. (2004). Análise de Conteúdo. Lisboa: Edições 70.

    . Tabachnick, B. & Fidell, L. (2006). Using multivariate statistics . USA: Pearson International.

    . Watt, R., & Collins, E. (2019). Statistics for Psychology: A Guide for Beginners (and everyone else). SAGE Publications Limited.

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