Training Course in Qualitative Methodology in Scientific Research
General Objectives of the CourseThe main objective of the course is to acquaint trainees with qualitative approaches for data processing. We intend to familiarize trainees with deductive and inductive logics of classification and manipulation of qualitative data, to practice analytical procedures that lead to the quantification of qualitative data and differentiate those from the procedures intended to operate in a strictly qualitative way. Many of tasks involved in qualitative research activities will be operationalized throughout the usage of software, including the management of the data using innovative tools. After completing this unit, the trainee will be prepared to design a research project including qualitative data analysis activities. All the participants will have the chance to use their own data.
To attend this course, students must comply with the following course requirements:
- To be an undergraduate student or graduate student in the final phase of his/her studies.
- A B1 level in the English language, according to the Common European Framework of Reference for Languages.
Preference will be given to applicants preparing thesis or dissertations involving research projects. Registration in such a program must be proven with a statement issued by the host institution.
Candidates should check the admission requirements available on this site, in addition to the information provided here.
Mode of StudyE-learning
Teaching / Evaluation language(s)Portuguese
Learning Objectives and Intended SkillsTo understand the methodological and conceptual aspects underlying the research of qualitative data; To obtain information about specific aspects related with qualitative data analysis; To be capable to describe the steps involved in the design of a qualitative data research project; To acquire competences in the collection, organization and management of qualitative data; To test exploratory analyses of qualitative data; To develop categories and coding systems; To organize and classify unstructured data; To evaluate the consistency and reliability of categorization processes; To operationalize the existent possibilities in the categorization of qualitative data; To develop and apply categories relatedness models and operating hypothesis; To be familiarized with tools used for the construction of theory in qualitative data analysis and for the presentation of research results; Usage of specific software to apply the referred skills.
Qualification Requirements and RegulationsRegulation n.º 339/2012, published in Official Gazette no. 152, 2. Grade, August 7th (Regulation of Creation and Operation of non-degree courses at the UC).
Non Degree Course
Qualification Awarded: Diploma/Certificate
Duration: 54 HORAS
ECTS Credits: 2.0