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Presentation
Presentation
The syllabus of this course aims to provide students with practical skills in methodologies and quantitative data analysis in Psychology. The goal is for students to develop competencies in conducting a quantitative research proposal, focusing on inferential nature, and acquire knowledge about the statistical foundations involved in the main techniques of the general linear model.
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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
ULHT35-13884
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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
PC1. Research phases of investigation in quantitative methodology PC2. Types of quantitative research designs PC3. Common measures of effect size PC4. Analysis of variance and multivariate analysis PC4.1. Two-way ANOVA PC4.2. Mixed ANOVA PC4.3. Two-way MANOVA PC5. Linear regression PC5.1. Simple PC5.2. Multiple PC5.3. Mediation models via regression PC5.4. Moderation models via regression Note: PC = programmatic contents
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Objectives
Objectives
LO1. Identify the research phases in quantitative methodology LO2. Identify, explain, and compare different types of quantitative research designs LO3. Plan a quantitative investigation, of inferential nature LO4. Define, calculate, and interpret common measures of effect size LO5. Apply Analysis of Variance (ANOVA) and Multivariate Analysis of Variance (MANOVA) models with more than one inter- and/or intra-subject factor LO6. Analyze and interpret first-order interaction effects between factors LO7. Apply Simple and Multiple Linear Regression models LO8. Apply Mediation and Moderation models via regression LO9. Choose and apply different statistical procedures considering the research objectives and type of data LO10. Present and interpret the results obtained from data analysis clearly LO11. Use the statistical analysis software JASP® appropriately
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Teaching methodologies and assessment
Teaching methodologies and assessment
The teaching-learning process is supported by active methodologies, prioritizing experimentation, autonomous work, and cooperation, based on project work conducted by the students, built around their own interests and motivations. Additionally, whenever possible, students may be involved in ongoing research projects within the R&D unit associated with EPVC.
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References
References
APA (2020). Publication manual of the American Psychological Association (7th ed.). Washington: APA. Coolican, H. (2014). Research methods and statistics in psychology (6th ed.). Hove: Psychology Press. Coutinho, C. (2013). Metodologia de Investigação em Ciências Sociais e Humanas: Teoria e Prática. Coimbra: Almedina 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) Hayes, A. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression based approach. New York, NY: Guilford Press. Howitt, D., & Cramer, D. (2014). Introduction to statistics in psychology (6th ed.). Harlow: Pearson. Navarro et al. (2019). Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners, available at https://learnstatswithjasp.com.
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Office Hours
Office Hours
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Mobility
Mobility
No
