Base Knowledge
Not applicable
Teaching Methodologies
Expository classes with a practical component for solving exercises.
Learning Results
Planning and executing a research project. Its objective is to provide the necessary tools and foundations for the successful completion of the work that students will have to carry out in their profession and within the scope of their disciplines and Master’s dissertation. Additionally, it aims to review concepts of data analysis and statistics.
By achieving the objectives of this course and acquiring the expected skills, the student will be able to:
• Develop the ability to read and comprehend texts in the relevant technical and scientific areas.
• Enhance the capacity for written and oral expression in specialized contexts.
• Enrich the lexicon of specific terminologies.
• Conduct research, analyze data, and prepare reports.
• Foster critical thinking through self-assessment and peer assessment practices.
Program
Module 1: Communication
1.1 Reading and decoding specialized texts.
1.2 General notions of research.
1.3 Structuring and elaborating scientific reports.
1.4 Understanding plagiarism and creating citations.
1.5 Creating bibliographies.
1.6 Communication techniques for presenting work.
Module 2: Data Analysis
2.1 Methodologies and research design.
2.2 Sampling techniques.
2.3 Data collection. The questionnaire as an information gathering instrument.
2.4 Data analysis techniques with SPSS
2.4.1 Descriptive statistics.
2.4.2 Parametric tests.
2.4.3 Regression analysis.
Grading Methods
Assessment distributed throughout the semester:
Module 1
Evaluation: Mandatory written test.
Weight: 20 points
Module 2
Evaluation: Resolution of exercises proposed during classes (50%) and mandatory written test covering the course material (50%). The written test will be conducted in the last class of the module.
Weight: 20 points
Requirement: Minimum grade of 5 out of 20 points in both Module 1 and Module 2.
The final grade is the arithmetic average of the grades obtained in both modules. The student will pass if the final grade is equal to or greater than 9.5 points and if the defined requirement is met.
In case of failure and if the student wishes, any positive grade obtained through the assessment distributed throughout the semester can be retained, and only the module with a negative grade will be reevaluated in the exam.
Final assessment:
Written exam consisting of two sections, corresponding to each of the taught modules.
Internship(s)
NAO
Bibliography
Module 1:
● American Psychological Association (2020). Manual of the American Psychological
Association. 7th edition. American Psychological Association.
● Bastos, L. da R., Fernandes, L. M., Paixão, L., & Deluiz, N. (2003). Manual para
elaboração de projetos e relatórios de pesquisa, teses, dissertações e monografias.
Guanabara Koogan.
● Estrela, E., Soares, M. A. & Leitão, M. J. (2012). Saber escrever, saber falar.
Publicações Dom Quixote.
● Estrela, E., Soares, M. A. & Leitão, M. J. (2013). Saber escrever uma tese e outros
textos. Dom Quixote.
● Vasconcelos e Sousa, Gonçalo de (1998). Metodologia da investigação, redação e
apresentação de trabalhos científicos. Livraria Civilização Editora.
Module 2:
● Anderson, D.R., Sweeney, D.J., Williams, & T.A. (2000). Estatística Aplicada à
Administração e Economia. Pioneira.
● Coutinho, C. P. (2023). Metodologia de Investigação em Ciências Sociais e
Humanas – teoria e prática. Almedina.
● Hill, M., & Hill, A. (2012). Investigação por questionário, 2ª edição. Sílabo.
● Maroco, J. (2021). Análise Estatística com SPSS Statistics, 8ª edição. Report
Number.
● Newbold, P., Carlson, W.L., & Thorne, B.M. (2020). Statistics for Business and
Economics, 9 th edition. Pearson.
● Pestana, M.H., Gageiro, J.N. (2014). Análise de dados para ciências sociais: a
complementaridade do SPSS, 6ª edição. Sílabo.