Research Work Plan

Code:

2MiM15

Acronym:

Plan

Keywords
Classification	Keyword
OFICIAL	Management Studies

Instance: 2023/2024 - 1S

Active?	Yes
Responsible unit:	Management
Course/CS Responsible:	Master in Management

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIM	44	Official Syllabus after 2021-2022	2	-	9	63	243

Teaching language

English

Objectives

To empower students to apply their acquired research methodology and data analysis skills to an unexplored scientific domain, culminating in the development of a project that leads to the creation of a master's dissertation.

 

 

Learning outcomes and competences

At the final essay, the student is expected to:

- clearly identify the research question(s) and discuss the gap(s) he/she wants to address in the master dissertation (including the internship report);

- fully perform a literature review and systematize the relevant literature on the chosen topic;

- identify the most suitable methodology to address the research problem and questions (i.e. research design, methods of data collection and data analyses).

Working method

B-learning

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

n.a.

Program

Introduction

Part I. RESEARCH METHODS

4 – Sampling and surveys

1. Data collection: Introduction;
2. Steps of research process;
3. Data collection;
4. Sampling (first concepts)
5. Sample survey/questionnaires
6. General overview of some Statistical Databases available in FEP.

Bibliography:

- Cohen L., L. Manion and K. Morrison (2005), Research Methods in Education, 5^th ed., Taylor & Francis.

- Norland-Tilburg, E. V. (1990), “Controlling error in evaluation instruments”, Journal of Extension, 28(2) (http://www.joe.org/joe/1990summer/tt2.html).

-Trochim, W. M. K. (2006), The Research Methods Knowledge Base, 2^nd (http://www.socialresearchmethods.net/kb/).

5A – Qualitative Methods

1. Qualitative research;
2. Theoretical Frameworks: narrative inquiry, phenomenology, ethnography, generic qualitative inquiry, action-research;
3. Qualitative designs;
4. Data collection: observation, interview, focus-group;
5. Data analysis: Content analysis (using or not NVivo11);
6. Advantages & disadvantages of qualitative research;
7. Ethical considerations.

Bibliography:

- Patton, M. (2014), Qualitative Research and Evaluation Methods, 4^th ed., London: Sage Publications.

5B – Quantitative Methods

1. Parametric and non parametrical statistical tests:
1. Introduction;
2. Types of data;
3. Descriptive statistics;
4. Distributions, inference and hypothesis testing (assumptions and applications);
5. Parametrical tests: T-Student test for 1 population; T-Student test for 2 independent populations; T-Student test for 2 paired samples; ANOVA.
6. Non parametrical tests: Normality tests; Wilcoxon test for 1 population; Mann-Whitney test for 2 independent populations; Wilcoxon test for 2 paired populations; Kruskall-Wallis test for k independent populations.
7. Correlations;
8. Chi-Square independence test.
2. Multivariate data analysis:
1. Data matrix and variables;
2. Types of methods;
3. Multiple Regression;
4. MANOVA;
5. Discriminant analysis;
6. Factorial analysis;
7. Principal component analysis;
8. Cluster analysis: Hierarchical method; K-means.

Bibliography:

- Conover, W. J. (1999), Practical Nonparametric Statistics, 3^rd ed., New York: John Wiley & Sons.

- Everitt, B. S. & G. Dunn (2013), Applied Multivariate Data Analysis, 2nd ed., Wiley.

- Hair Jr., J. F., W. C. Black, B. J. Babin & R. E. Anderson (2010), Multivariate Data Analysis – A Global
Perspective, 7th ed., Pearson Prentice Hall.

- Keller, G. (2008), Statistics for Management and Economics, Thomson.

- Sharma, S. (1996), Applied Multivariate Techniques, Wiley.
5Bi.

5Bi. - Quantitative methods: Social network analysis, opinion mining, sentiment analysis

1. Social network analysis. Social networks: interactions between actors. Professional social networks, e.g. LinkedIn. Social network analysis:
2. The role of actors in the network: centralities and influence;
3. Communities and interactions;
4. Information diffusion in social networks.
5. Sentiment analysis:
6. Opinions in the digital age: social media, blogs, tweets, etc.;
7. Text mining: identifying entities, and polarity.

Bibliography:

- Liu, B. (2012), Sentiment Analysis and Opinion Mining, Human Language Technologies.

- Zafarani, R., M. Ali Abbasi and H. Liu (2014), Social Media Mining, Cambridge University Press.

5Bii. - Econometric Methods

1. Object and method of Econometrics;
2. Brief revision of the linear regression model;
3. Binary choice models (logit/probit);
4. Time series models;
5. Panel data models.

Bibliography:

- Asteriou, D. & S. G. Hall (2015), Applied Econometrics, 3rd ed., Palgrave.

- Griffiths, W. E., R. C. Hill & G. C. Lim (2012), Using EViews for Principles of Econometrics, 4th ed., John
Wiley & Sons.

- Gujarati, D. (2014), Econometrics by Example, 2nd ed., Palgrave.

- Gujarati, D. N. & D. C. Porter (2009), Basic Econometrics, 5th ed., McGraw-Hill.

- Heij, C., P. De Boer, P. H. Franses, T. Kloek & H. K. Van Dijk (2004), Econometric Methods with
Applications in Business and Economics, Oxford University Press.

- Hill, R.C., W. E. Griffiths & G. C. Lim (2012), Principles of Econometrics, 4th ed., John Wiley & Sons.
 

Part II. TUTORIALS & PRESENTATIONS

Mandatory literature

APA; Publication manual of the American Psychological Association : the official guide to APA style, 7th Ed, 2020 (A)
Saunders, Mark; Lewis, Philip and Thornhill, Adrian; Research Methods for Business Students, Prentice-Hall, Edinburgh, 2002
Bryman, Alan; Bell, Emma; Business Research Methods, Financial Times / Prentice Hall, London, 2006
To be Defined by the Lecturers of the Thematic subjects; Quantitative and Qualitative research methods

Complementary Bibliography

Michael Quinn Patton ; Qualitative research and evaluation methods : integrating theory and practice / , 2014 (Available in the library)
Case study research and applications : design and methods / Robert K. Yin ; Case study research and applications : design and methods , 2018 (Available in the library)
Marno Verbeek ; A guide to modern econometrics , 2017 (Available in the library)
João Marôco; Análise estatística com o SPSS Statistics , 2021 (Available in the library)
João Marôco; Análise de equações estruturais : fundamentos teóricos, software e aplicações , 2014 (Available in the library)
Maria Helena Pestana, João Nunes Gageiro; Análise categórica, árvores de decisão e análise de conteúdo : em ciências sociais e da saúde com o SPSS , 2009 (Available in the library)
Maria Helena Pestana, João Nunes Gageiro; Análise de dados para ciências sociais : a complementaridade do SPSS , 2008 (Available in the library)
Laurence Bardin; trad. Luis Antero Reto, Augusto Pinheiro; Análise de Conteúdo , 2018

Comments from the literature

Additional resources available in Moodle

Teaching methods and learning activities

1. Pre-recorded sessions
The sessions concerning parts I and II of the syllabus are made available as pre-recorded video sessions. They will be made available on the Moodle platform.

2. Classroom sessions
All sessions will be presential.
Note: for students in international mobility, the classroom presentations may be replaced by videoconference presentations.

3. Tutorial sessions
Held by the student' supervisor.

 

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Trabalho escrito	100,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Elaboração de projeto	50,00
Estudo autónomo	20,00
Frequência das aulas	39,00
Trabalho de investigação	125,00
Apresentação/discussão de um trabalho científico	9,00
Total:	243,00

Eligibility for exams

To pass the students must have a score equal or higher than 50% in the dissertation proposal (10 points out of 20).

Calculation formula of final grade

Distributed assessment without final exam:

• 100% of the final grade: Final essay delivery (Work plan proposal) – Report (maximum 6500 words, all included).

Penalties (all penalties are deemed as deductions to the final grade):

• Draft 1: one page summary containing the research topic, purpose and relevance. If the student does not submit the document two working days before the day of the presentation, 1 point (out of 20);


• Presentation of draft 1. If the student delivered the draft 1 and does not make its presentation according to the recommended guidelines, 1 point (out of 20).


• Paper (literature review). If the student does not make the presentation, 1 point (out of 20).


• Draft 2: Report containing information about the research topic, literature review, methodology. If the student does not deliver this draft three working days before the day of the presentation 1 point (out of 20).


• Presentation of draft 2. If the student delivered this draft and does not make its presentation according to the recommended guidelines, 1 points (out of 20).


• Research methodologies sessions: if the student does not attend at least one of the sessions, 0.5 points (out of 20).

Examinations or Special Assignments

n.a.

Internship work/project

n.a.

Special assessment (TE, DA, ...)

n.a.

Classification improvement

Not available.

Observations

There is no resit season to get approval.

The course has a web page on Moodle platform, that contains, namely, de detailed planning of the lectures.

Besides, in this same platform, there will be a specific page to make available the videos of the pre-recorded sessions.