ISMAT 14559
Data Analysis in Psychology: Quantitative Methods II
Psychology (ISMAT)
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ApresentaçãoPresentationThis UC integrates a set of CUs in the area of Research and Data Analysis in Psychology and aims to prepare students for the practice of Scientific Research in Psychology.
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ProgramaProgrammeS1. Relationship between research and analysis of quantitative data. S2. Relationship between descriptive statistics and inferential statistics. Introduction to inferential statistics. S3. Probability Theory. Mistakes. Meaningfulness. Effect dimension. S4. Criteria for selection of inferential statistical procedures. S5. Hypothesis tests for comparison between groups: One sample: Student's t test and Wilcoxon sign test. Two independent samples: Student t test and Mann-Whitney test. Three independent samples: Univariate analysis of variance and Kruskal-Wallis test. Two paired samples: Student's t-test and Wilcoxon's. S6. Variable association hypothesis tests: Pearson and Spearman correlation. Chi-Square Test. S7. Hypothesis tests of causal association of variables: Simple linear regression. S8. Graphic representation, on a board and writing of the results. S9. Ethical issues in data analysis in Psychology
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ObjectivosObjectivesLG1. Provide information that allows relating the knowledge acquired in the curricular unit Data Analysis n Psychology: Quantitative Methods I with the inferential analysis of data in the context of research in Psychology. LG2. Provide information on fundamental notions in the field of inferential statistics. Provide information on the objectives and methods of using computer applications (in particular, Jamovi) for the archiving and analysis of quantitative data in Psychology. LG3. Provide information on parametric and non-parametric statistical procedures that allow the analysis of hypotheses about the characteristics of the populations under study. LG4. Acquisition of basic skills within the main forms of inferential analysis, data archiving and analysis in Jamovi, selection of appropriate statistical procedures for inferential data analysis and graphical representation and writing of results related to descriptive analyses.
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BibliografiaBibliographyAPA (2020). Publication manual of the American Psychological Association (7th Ed.). APA. Coolican, H. (2024). Research methods and statistics in psychology (8th Ed.). Routledge. Howitt, D., & Cramer, D. (2013). Introduction to statistics in psychology (6th Ed.). Pearson. Moore, D. S., & Notz, W. I. (2017). Statistics - Concepts and controversies (9th Ed.). Freeman & Comp. Navarro, D. J., & Foxcroft, D. R. (2025). Learning Statistics with jamovi: A Tutorial for Beginners in Statistical Analysis. Open Book Publishers. https://doi.org/10.11647/OBP.0333 Nicol, A. A. M., & Pexman, P. M. (2011). Displaying your findings: A practical guide for creating figures, posters, and presentations. APA. Ordem dos Psicólogos Portugueses. (2024). “Regulamento nº898/2024”. Diário da República 2ª série, de 14 de agosto de 2024. Richardson, P., & Machan, L. (2021). Jamovi for Psychologists. Bloomsbury Publishing PLC.
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MetodologiaMethodologyTM1. Theoretical-practical classes using the expository, demonstrative and participatory method. TM2. Practical classes, with a view to training in the applicability of Jamovi to research in Psychology. TM3. Tutoring and self-monitoring. TM4. Internet-based learning (E-Based learning), through Moodle.
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LínguaLanguagePortuguês
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TipoTypeSemestral
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ECTS7
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NaturezaNatureMandatory
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EstágioInternshipNão



