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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; CP5. Spearman's correlation coefficient (Spearman's rho) and Chi-square test of association/independence and adjustment; 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® 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 and assessment
Teaching methodologies and assessment
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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Office Hours
Office Hours
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Mobility
Mobility
No
