Qualitative Analysis Laboratory

Code: SOC02413L

6 ECTS

Duration: 15 weeks/156 hours

Scientific Area: Sociology

Teaching languages: Portuguese

Languages of tutoring support: Portuguese

Regime de Frequência: Presencial

Presentation

This course combines theoretical, practical, field and laboratory classes, including CAQDAS, to explore the methods and techniques for the collection, analysis and interpretation of qualitative data.

Sustainable Development Goals

4. Educação de qualidade - Assegurar a educação inclusiva, e equitativa e de qualidade, e promover oportunidades de aprendizagem ao longo da vida para todos.

10. Reduzir as desigualdades - Reduzir as desigualdades dentro dos países e entre eles.

11. Cidades e comunidades sustentáveis - Tornar as cidades e os assentamentos humanos inclusivos, seguros, resilientes e sustentáveis.

16. Paz, justiça e instituições eficazes - Paz, justiça e instituições eficazes promover sociedades pacíficas e inclusivas par ao desenvolvimento sustentável, proporcionar o acesso à justiça para todos e construir instituições eficazes, responsáveis
e inclusivas em todos os níveis.

17. Parcerias para a implementação dos objetivos - Fortalecer os meios de implementação e revitalizar a parceria global para o desenvolvimento sustentável.

Learning Goals

Within the time limit of six months shall be the attainment of skills of pupils in the vast field of qualitative methods and techniques. This improvement It is only possible through a selection of qualitative methods and techniques of the widest spectrum of application. It is this discipline cantilevered epistemological knowledge space that gives access to the ability of selection, as regards the methods of application of the various methods and techniques available. This means that, except the points exposed in the programme, there is another set of methods and techniques that, not being taught is, however, discussed and referenced in your own space as a hypothesis of application as appropriate.

1- Technical specifics of qualitative data collection;
2- Non-verbal language;
3 DATA ANALYSIS -Interpretative Hypotheses; hermenêuticos of problems analysis;-Techniques of -The comparison. different forms of analysis contents;- Thematic analysis content;- Structural analysis contents;- Introduction to discourse analysis and narrative.
4-the validity- Search forms validation; Between the paradigms of the scientific community.
5-institutional analysis -Genesis and assumptions.I.;-InstituiçãoWhat is it? -What the sociologist can do;- models of other fields of know;- importance of the analysis discursive;- modalização psychoanalytic; staff for the socio-institutional;- search of omissions and recalcamentos;-Assumptions conflict resolution.

Teaching Methods

The course is designed as a methodological and empirical analysis laboratory, where students consolidate and apply the knowledge acquired in the Sociological Research Methods and Techniques II course. (*)
Overall, this is a highly interactive course that requires active participation in a series of practical exercises throughout the semester, conducted both individually and in groups.
Classes are structured around the real-world challenges of qualitative research, including: Formulating specific research questions; Constructing qualitative research instruments; Defining sampling strategies; Negotiating access to the field; Identifying and locating relevant documents, Data Analysis.
A central component of the course is the practice of analyzing qualitative data collected by the students themselves. This includes the potential use of analytical software to manage, code, and interpret empirical material.
Through weekly practical exercises within a semester-long project, students will develop the reflexive skills necessary for rigorous qualitative research and learn how to generate empirically grounded results.
In this course unit, the use of AI tools is restricted (please refer to the Assessment section).
The improper use of AI tools will be considered academic fraud under the terms of Article 119 of the Academic Regulations (Code of Conduct, Fraud, and Plagiarism).

(*) Note: Indeed, before enrolling in this Course Unit, Sociology students must have successfully completed the courses Sociological Research Methods and Techniques I and II.

Assessment

The assessment of knowledge will be conducted through two modalities: Continuous Assessment or Final Assessment.

In the continuous assessment modality, the final grade for the Course Unit (CU) will be weighted by the instructor of each as follows:
Practical Exercises (80%): All exercises include both a written and an oral component; the evaluation includes both individual and group-based elements.
Active Classroom Participation (20%).
The minimum grade required for each assessment component is 9.5 (out of 20). Specific guidelines and templates for each exercise will be shared at the beginning of each module.

The final assessment modality consists of a single written exam representing 100% of the final grade.

Given the assessment methodology of this CU, the use of Artificial Intelligence (AI) tools is only permitted to assist in creating supporting materials for oral presentations (e.g., PowerPoint), based on content previously produced by the students themselves.
If AI tools are used, a session identifier or a sharing link of the interaction must be included as a complementary element of transparency.
Example: "In the preparation of this work, the tool [Name of AI, e.g., ChatGPT] was used. The author(s) fully validated the content and assume(s) final responsibility for the work presented. AI session link: [Link, e.g., https://chatgpt.com/share/...]"
Any use of AI not specified above is considered unacceptable.
The improper use of AI tools will be considered academic fraud under the terms of Article 119 of the Academic Regulations (Code of Conduct, Fraud, and Plagiarism).