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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
SC1. Phases of research in quantitative methodology
SC2. Types of scientific studies and levels of evidence
SC3. The relationship between conceptual hypothesis, study design (within, between, and mixed), statistical procedure, and statistical hypothesis
SC4. Analysis of variance
SC4.1. One-way or two-way ANOVA
SC4.2. Repeated measures/mixed ANOVA
SC5. Analysis of covariance and multivariate analysis
SC5.1. ANCOVA
SC5.2. MANOVA
SC6. Linear regression
SC6.1. Simple
SC6.2. Multiple
SC6.3. Mediation concept: criteria, operationalization, and interpretation
Note. SC = syllabus contents
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Objectives
Objectives
UC has the following learning objectives:
¿LO1. Identify the phases of investigation in quantitative methodology.
LO2. Identify different types of scientific studies, their levels of evidence, and different study designs.
LO3. Plan a quantitative, inferential nature investigation.
LO4. Understand the relationship between conceptual hypothesis, study design, statistical procedure, and statistical hypothesis.
LO5. Apply statistical techniques of Analysis of Variance, Covariance and Multivariance to problems in the field of Psychology.
LO6. Apply Simple Linear Regression, Multiple Regression, and Mediation models to problems in the field of Psychology.
LO7. Choose and apply different statistical procedures considering research objectives and data type.
LO8. Present and interpret the obtained results from data analysis clearly.
LO9. Use the statistical analysis software JASP® appropriately and effectively.
Note. LO = learning outcomes
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Teaching methodologies and assessment
Teaching methodologies and assessment
The teaching-learning methodology is active in nature and involves the transmission of content in a laboratory setting, emphasizing experimentation using data analysis software, cooperative work, and, whenever possible, student involvement in ongoing research projects at the R&D unit (HEI-Lab). Additionally, to maximize learning and student engagement, a semester-long inferential quantitative research project will be developed, allowing for the integration and application of the programmatic content learned.
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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
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
