Statistics III

Presentation

This course focuses on inferential statistical , namely on the main techniques based on the general linear
model, often used in quantitative research designs in Psychology

Part of this Programme

Psychology

Level of Qualification|Semesters|ECTS

| Semestral | 5

Year | Type of course unit | Language

2 |Mandatory |Português

Code

ULHT35-832

Recommended complementary curricular units

Statistics I and II

Prerequisites and co-requisites

n/a

Professional Internship

Não

Syllabus

1. Stages in quantitative research
2. Types of scientific studies and levels of evidence
3. The relationship between conceptual hypotheses, study design (within-subjects, between-subjects and
mixed subjects), statistical procedures and statistical hypotheses;
4. Analysis of variance
  4.1. ANOVA one-way sand two-way
  4.2. Repeated measures /Mixed ANOVA
5. Covariance and multivariate analysis
  5.1 ANCOVA
  5.2 MANOVA
6. Linear Regression
  6.1. Simple
  6.2. Multiple
  6.3. The concept of mediation: criteria, operationalization and interpretation

Objectives

This CU has the objective of providing students with practical skills in analysing quantitative data in
Psychology. It is intended that students use their knowledge to elaborate a quantitative research proposal
of an inferential nature, using SPSS software for data analysis. It is also the objective of this UC to
prepare students with skills in decision making for the most used statistical procedures within the general
linear model. It is intended that students acquire knowledge about the statistical fundamentals of
univariate, multivariate and covariance analyses, as well as the operationalization of these analyses
using SPSS. At the end, students should be able to choose appropriate inferential statistics techniques
regarding a specific subject and research plan, as well as integrate statistical and psychological
knowledge for better data interpretation

Teaching methodologies and assessment

Lectures rely on a combination of expository and demonstrative methods.
Continuous evaluation in this course consists of:
1) A written test without consultation (60%)
2) Conducting an empirical group work (based on SPSS databases) and writing and formatting a
research paper in APA style (30%)
3) Oral group presentation of the written work (10%), whose assessment will distinguish individual
contributions.

Class attendance is mandatory. Part-time students, who do not have the required attendance, must submit an individual written work that will focus on the analysis, interpretation and description of results, using a SPSS database (40%).

As an average grade, the student must achieve a minimum of 10 points (10/20) If not, the student will be evaluated in the Final Examination mode.

Final Examination: written final exam without consultation (100%), based on all given contents (theoretical and pratical). 

References

APA (2010). Publication manual of the American Psychological Association (6th ed.). Washington: APA.
Coutinho, C. (2013). Metodologia de Investigação em Ciências Sociais e Humanas: Teoria e Prática .
Coimbra: Almedina
Field, A. (2013): Descobrindo a estatística usando o SPSS. (2ª. Ed.). Porto Alegr : Artmed, 2009.
Hayes A (2013). Introduction to mediation, moderation, and conditional process analysis: A regression
based approach . New York, NY: Guilford Press.
Maroco, J. (2014). Análise estatística com o SPSS Statistics (6ª edição). Pêro Pinheiro: Report Number.
Martins,C. (2011). Manual de análise de dados quantitativos com recurso ao IBM SPSS .
Braga: Psiquilibrios.
Morgan, G. A., et al. (2010). IBM SPSS for introductory statistics: Use and interpretation . NJ: Routledge.
Nicol, A. A. M., & Pexman, P. M. (2011). Displaying your findings: A practical guide for creating figures,
posters, and presentations. Washington: APA.

Office Hours