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Presentation
Presentation
The course aims to provide students with basic knowledge and skills in the domains of quantitative research methodology, statistical science, and data analysis applied to Social Sciences, particularly regarding the design of quantitative studies, descriptive data analysis, application of techniques and procedures for univariate and bivariate inferential analysis, and the writing and presentation of results considering specific problems in the field of Psychology. The knowledge and skills acquired in this course have a direct and comprehensive impact on the study cycle, as the content taught allows for the appropriation of scientific research processes and results in the area of Psychology.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 5
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Year | Nature | Language
Year | Nature | Language
2 | Mandatory | Português
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Code
Code
ULHT35-986
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
CP1. Types of scientific studies and levels of evidence; CP2. Relationship between conceptual hypothesis, study design (inter- and intra-), statistical procedures, and statistical hypotheses; CP3. Univariate analysis, CP3.1. One-way ANOVA/Kruskal-Wallis test, CP3.2. Paired-sample t-test/Wilcoxon test, CP3.3. Repeated-measures ANOVA; CP4. Covariance and multivariate analysis, CP4.1. ANCOVA, CP4.2. One-way MANOVA/Friedman test; CP5. Spearman's correlation coefficient (Spearman's rho), Pearson's correlation test (Pearson's r) and chi-square test of association/independence; CP6. Writing and graphical presentation of results according to APA 7th edition guidelines.
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Objectives
Objectives
Apply basic concepts of univariate inferential statistics to the study of three or more independent populations; apply concepts of multivariate inferential statistics to the study of two or more independent populations; apply concepts of inferential statistics to two or more independent populations considering analysis of covariance; apply concepts of univariate inferential statistics to two or more related populations; use the JASP(r) statistical analysis software; evaluate, select, and apply statistical procedures according to research objectives; calculate and analyze point and interval estimates of parametric and non-parametric parameters from both univariate and multivariate perspectives for independent and related populations; quantify the relationship between non-normally distributed quantitative variables, levels of adjustment, and the association/independence between categorical variables; present inferential statistical data.
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Teaching methodologies
Teaching methodologies
Teaching-learning process supported by active methodologies, emphasizing experimentation, autonomous and cooperative work, based on project work conducted by students, built upon their own interests and motivations. Additionally, whenever possible, students may be involved in ongoing research projects at the R&D unit associated with EPVC.
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References
References
Reinhart, A. (2015). Statistics done wrong: The woefully complete guide, No Starch Press. Coolican, H. (2018). Research Methods and Statistics in Psychology (7th Edition). Routledge. Field, A. P. (2018). Discovering statistics using IBM SPSS Statistics (5th Edition), Sage. Goss-Sampson, M. A. (2022). Statistical Analysis in JASP 0.16.1: A Guide for Students. (https://jasp-stats.org/wp-content/uploads/2022/04/Statistical-Analysis-in-JASP-A-Students-Guide-v16.pdf) Howitt, D., & Cramer, D. (2014). Introduction to statistics in psychology (6th Edition), Pearson. Navarro et al. (2019). Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners. (https://tomfaulkenberry.github.io/JASPbook/index.html) Reinhart, A. (2015). Statistics done wrong: The woefully complete guide, No Starch Press.
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Assessment
Assessment
A avaliação contínua pressupõe a realização de duas componentes: individual e de grupo.
A avaliação individual consiste na realização de três testes escritos (em formato de frequência valendo cada um 20% da classificação final).
A avaliação de grupo (40% da classificação final) (número máximo de elementos: 5) consiste na realização dos seguintes elementos de avaliação:
Seis relatórios relativos à matéria lecionada, conforme o planeamento, realizados em aula; um trabalho final que consiste no desenvolvimento de um dos relatórios submetidos e submissão de um short paper; Uma apresentação oral relativa ao trabalho final.
A não participação em qualquer das componentes do trabalho de grupo implica a obtenção da classificação de 0 (zero) na dimensão da avaliação de grupo.
Os/as estudantes que obtenham na avaliação contínua uma classificação final inferior a 9,5 valores ou que optem por não participar no modelo de avaliação contínua, prestarão provas conforme previsto no Regulamento Geral de Avaliação da Universidade Lusófona (Despacho Reitoral n.º 43/2025), nomeadamente através da realização de um Exame de Recurso (100% da classificação final) o qual, incidirá sobre a totalidade dos conteúdos programáticos da UC.
Os/As estudantes com estatuto especial nos termos da alínea i) do Artigo 3.º do Regulamento Geral de Avaliação da Universidade Lusófona (Despacho Reitoral n.º 43/2025) que não integrem um grupo de trabalho, realizarão um trabalho de avaliação escrito equivalente em substituição do trabalho escrito de grupo e uma apresentação oral.
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Mobility
Mobility
Yes
