Data Analysis in Social and Organizational Psychology

Presentation

This course provides students with skills of data analysis in research in Social and Organizational Psychology, focusing on quantitative data analysis techniques in the context of inferential statistics, namely in the General Linear Models (GLM), and on an introduction to qualitative data analysis. 

Part of this Programme

Social and Organizational Psychology

Level of Qualification|Semesters|ECTS

| Semestral | 6

Year | Type of course unit | Language

1 |Mandatory |Português

Code

ULHT1705-14594

Recommended complementary curricular units

N/A

Prerequisites and co-requisites

n/a

Professional Internship

Não

Syllabus

1. Analysis of Variance and Covariance

2. Multivariate Analysis of Variance and Covariance

3. Analysis of Variance with Repeated Measures

4. Linear Regression

5. Multiple Linear Regression

6. Mediation Analysis using Multiple Linear Regression

7. Moderation Analysis using Multiple Linear Regression

8. Logistic regression

9. Principal Components Exploratory Factor Analysis

10. Introduction to Qualitative Data Analysis: Content analysis

Objectives

This course aims to provide an understanding of the General Linear Models (GLM) that have become a common statistical tool in research, namely in Social and Organizational Psychology. For this, a theoretical and practical approach will be adopted, in which the concepts will be introduced using practical examples. In this course, students should apply GLMs to analyse their data, more specifically, they should be able to recognize and test alternative hypotheses and understand the logic underlying the various statistical analyses. It is also an objective of this course to introduce students to qualitative data analysis in PSO by addressing the content analysis procedure as well as creating synergies with more quantitative approaches in a mixed methods perspective.

Teaching methodologies and assessment

The UC, with TP classes, has an eminently applied component, where students apply the theoretical skills acquired through practical activities (conduction, analysis and discussion of the applied analytical procedures). Whenever possible, studies published in social and organizational psychology journals using the specific statistical models and data analysis techniques will be presented.

Continuous assessment comprises 4 assessment moments: two written tests (30%+30%), a written group work (30%) and oral presentation of the same work (10%, individual evaluation). As a final weighted average, the student must obtain a minimum grade of 10 values. Choosing to take the course in final assessment, students must take an exam consisting of a written test (100%) focusing on all theoretical and practical content and students must obtain a minimum of 10 values as a final grade. Due to the current pandemic situation a percentage of classes will be online. Attendance at classes is required.

References

Field, A. (2017). Discovering statistics using IBM SPSS Statistics (5^_th Ed.). London: Sage.

Flick, U. (2009). Introdução à Pesquisa Qualitativa (3.ª Ed.). Porto Alegre: Artmed.

Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York:Guilford Publications.

Maroco, J. (2018). Análise estatística com o SPSS statistics (7ª Ed.) Lisboa: ReportNumber.Bardin, L. (2004). Análise de Conteúdo. Lisboa: Edições 70. 

Tabachnick, B. & Fidell, L. (2006). Using multivariate statistics. USA: Pearson International.

Watt, R., & Collins, E. (2019). Statistics for Psychology: A Guide for Beginners (and everyone else). SAGE Publications Limited.

Office Hours