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ISMAT 15321

Data Analysis in Psychology: Quantitative Methods III

Psychology (ISMAT)
  • ApresentaçãoPresentation
    The CU Data Analysis in Psychology: Quantitative Methods III aims to deepen the knowledge previously acquired in the area of Data Analysis in Psychology, based on research carried out by the students themselves, through the teaching of the theoretical foundations of statistical procedures and training, guided and autonomous, along with its application to research in Psychology. The best researches carried out in the CU will be presented by the students which developed them in the X JIICP.
  • ProgramaProgramme
    Difference between univariate and multivariate statistics. Multiple linear regression Analysis of variance:   ANOVA with 1 and more factors (interaction/moderation)   Analysis of covariance (ANCOVA)   ANOVA repeated measures Multivariance and covariance analysis   MANOVA   MANCOVA Procedures for reducing the dimensionality of variables Exploratory Factor Analysis vs Principal Component Analysis Cluster/Discriminant Analysis Graphical, tabular representation and description of results
  • ObjectivosObjectives
    Provide information that allows relating the knowledge acquired in the curricular units Data Analysis in Psychology: Quantitative Methods I and II with the multivariate analysis of data within the scope of research in Psychology. Provide information on fundamental notions in the field of multivariate statistics. Provide information on the aims and methods of using computer applications, in particular, the Jamovi software, for storing and multivariate analysis of quantitative data in Psychology. Provide information on the statistical procedures that allow the analysis of hypotheses about the characteristics of the populations under study. It is intended that students acquire basic skills in the scope of the main forms of multivariate analysis, storing and data analysis in Jamovi, selecting the appropriate statistical procedures for multivariate analysis of data and graphic representation and writing of results.
  • BibliografiaBibliography
    APA (2020). Publication manual of the American Psychological Association (7th Ed.). Washington:APA. Hair. J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th Ed.). London: Prentice-Hall. Ho, R. (2014). Handbook of univariate and multivariate data analysis and interpretation with Spss (2nd Ed.). New York: Chapman & Hall/CRC. Lloret, S., Ferreres, A., Hernández, A., & Tomás, I. (2017). The exploratory factor analysis of items: guided analysis based on empirical data and software. Anales de Psicología/Annals of Psychology, 33(2), 417-432. Navarro, D. K., & Foxcroft, D. R. (2019). Learning statistics with jamovi: a tutorial for psychology students and other beginners. (Version 0.70). https://doi.org/10.24384/hgc3-7p15 [Available from url: http://learnstatswithjamovi.com] Richardson, P., & Machan, L. (2021). Jamovi for Psychologists. London: Bloomsbury Publishing PLC.    
  • MetodologiaMethodology
    Theoretical-practical classes using the expository, demonstrative and participatory method. Practical classes in a laboratory context, with a view to training in the applicability of Jamovi to research in Psychology. Tutoring and self-monitoring. Internet-based learning (E-Based learning), through Moodle.
  • LínguaLanguage
    Português
  • TipoType
    Semestral
  • ECTS
    7
  • NaturezaNature
    Mandatory
  • EstágioInternship
    Não