Class Quantitative Research Methodology

  • 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.

  • Code


  • 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

  • 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

  • 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.

  • 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 PráticaCoimbra: 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

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