Thesis Seminar IV

Recommended Prerequisites

Knowledge of scientific methodology

Teaching Methods

The seminars will emphasize active methods of teaching and learning notwithstanding times presentation and deepening of the specific content by teachers. Work on b-learning system combining classroom sessions with synchronous sessions. A schedule of activities and intermediate papers will be undertaken by students but always related to the own research. The site of discipline shall be used as support

Learning Outcomes

The Thesis Seminar IV aims to provide further support to the elaboration of the thesis, especially with regard to the processing and data analysis, and at the same time to establish itself as a collective forum for discussion of the work process of each doctoral student

At the end of the course students should be able to discuss and analyze in an articulated, critical and reflective manner data obtained via empirical research

Work Placement(s)

No

Syllabus

Taking into account the further research over the three semesters, the course contents of Thesis Seminar IV are organized as follows:

From Data to conclusions

1. Procedures for data collection

2. The readout of the data. Empirical objectivity and dialogues with the theory

3. The data communication to the scientific community and third parts: academic exigencies

Head Lecturer(s)

Helena da Silva Neves dos Santos Almeida

Assessment Methods

Assessment
Laboratory work or Field work: 40.0%
Report of a seminar or field trip: 60.0%

Bibliography

Para além da bibliografia específica referente a cada temática de estudo, são recomendadas as seguintes obras, entre outras:

In addition to specific references for each subject of study, the following works are recommended, among other:

 

Hammersley, M. (2008). Assessing Validity in Social Research. In Pertti Alasuutari, Leonard Bickman & Julia Brannen. The Sage Handbook of Social Research Methods. Sage Publ.

Yeasmin, S & Rahman, K.F. (2012). 'Triangulation' Research Method as the Tool of Social Science Research. BUP JOURNAL, Volume 1, Issue 1, 154-163.

Rosenthal James A. (2012). Statistics and Data Interpretation for Social Work. Springer.