filmeu

Class Research Methods in Applied Neuropsychology II

  • Presentation

    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

    Code

    ULHT789-25057
  • Syllabus

    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

    Objectives

    LO1. Conduct a Qualitative data analysis LO2. Understand psychometric theories and underlying assumptions in scale construction LO3. Conduct a psychometric analysis of a scale and interpret its results LO4. Comprehend the relationship between conceptual hypothesis, study design, statistical procedure, and statistical hypothesis LO5. Apply Analysis of Variance and Multivariate Analysis techniques to problems in the domain of Psychology with within-subject and between-subjects samples LO6. Apply Simple Linear, Multiple, Mediation, and Moderation Regression models to problems in the domain of Psychology LO7. Choose and apply different statistical procedures considering research objectives and data type LO8. Present and interpret the results obtained from data analysis clearly LO9. Use a statistical analysis software appropriately and effectively. Note: LO = learning objective
  • 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

    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 Health , 24 (1), 1-6. https://doi.org/10.1080/ 26895269.2022.2129597 . 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.
SINGLE REGISTRATION
Lisboa 2020 Portugal 2020 Small financiado eu 2024 prr 2024 republica portuguesa 2024 Logo UE Financed Provedor do Estudante Livro de reclamaões Elogios