Methodology and Epistemology of Research in Psychology II

Code:

MTP03

Acronym:

MEIP II

Keywords
Classification	Keyword
OFICIAL	Investigation Methodology

Instance: 2015/2016 - 2S (since 15-02-2016 to 28-05-2016)

Active?	Yes
Responsible unit:	Psychology
Course/CS Responsible:	Master in Psychology Themes

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MTP	23	Official Curricular Structure	1	-	6	54	162

Teaching language

Portuguese

Objectives

 

Following “Metodologia e Epistemologia da Investigação em Psicologia I”, the goals are to apply and understand research methods in the context of students’ own research project, helping them to develop skills in critically evaluating research studies and providing the tools needed to design one’s own study.

Learning outcomes and competences

By the end of the course, students should be able to:

• determine which statistical technique should be used to investigate different types of research questions and datasets (e.g. regression, ANOVA, repeated measures).
• perform the corresponding analyses using SPSS and interpret the results.
• develop critically thinking on the analysis and interpretation of results on both quantitative and qualitative approaches.
• Communicate ideas, methods, and findings scientifically.

Working method

Presencial

Program

Quantitative research:
- research goals, methods, and analyses

Introduction to the program of quantitative data analysis SPSS

- structure of SPSS

- data files set

- descriptive statistics and graphics

- principles of inferential statistics

- parametric and non parametric tests

- bivariate inferential statistics (chi square, t test; Pearson correlation; simple linear regression)

- analysis of variance with one and two factors, and with repeated measures

- transformation of variables and files

 

Qualitative research:

 - research goals, methods, and analyses
- content analysis

Mandatory literature

Field Andy; Discovering statistics using SPSS for windows. ISBN: 0-7619-5755-3
Martins Carla; Manual de análise de dados quantitativos com recurso ao IBM SPSS. ISBN: 978-989-8333-08-7

Teaching methods and learning activities

• Lectures to introduce students to research topics, using practical examples;


• Students will actively participate in large and small group discussions, using the computer when appropriate

 

Autonomous work:

 Students will complete small tasks and activities in order to

• analyze and interpret scientific


• searching in databases and literature review


• collaborate with their peers.


• verbally present research findings in a coherent and concise manner.


• perform analyses on existing datasets and write scientific papers.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

designation	Weight (%)
Exame	60,00
Participação presencial	40,00
Total:	100,00

Eligibility for exams

Type of evaluation: A final examination will be given

 

Terms of frequency: In order to be admitted to the final exam, students are required to attend at least 75% of the weekly sessions.

 

 

 

Calculation formula of final grade

Formula Evaluation: The final score, corresponding to the score of the written test to be held by the student, will be expressed on a scale of 0 to 20. A score lower than 10 points leads to the disapproval of the student in the course.