Qualitative analysis allows us to understand the complexity of phenomena between the Person and the Context. Regardless of the scientific area in which we are located (e.g. Communication Sciences, Education, Psychology, Sociology, Literature, Health), analyzing meanings, expectations, discourses, as well as multimedia productions, texts, interviews or advertisements, are a way to create scientific knowledge of excellence.

This course aims to explore the main characteristics of qualitative studies, presenting its stages, paradigms and processes between theoretical reflection and practical work, considering its interdisciplinary usefulness.

With a strong theoretical-practical component, we will explore theories, textual data and multimedia using the N-Vivo software  so that we can, in an interactive way, provide participants with tools and strategies to efficiently explore data they have from their academic projects.

The course is organized in two complementary parts: a first theoretical-practical part, dedicated to understanding the fundamentals of qualitative methods; and a second practical part, focused on the direct application of this knowledge through the use of the N-Vivo software

Pré-Requirements: Access to a computer with a free version of the N-Vivo software.

Part I – Theoretical-practical (hybrid regime)

Lesson 1

Dynamic presentation of the participants;
Qualitative Methods (QM): What? From whom? For whom?
The researcher in QM;
Features two MQ;

Lesson 2

How to be happy (in the creation of the study/report)?
Processes for QM: paradigms, collection methods, strategies of inquiry, analysis and writing;
Paradigms: from positivism to post-positivism;
Data triangulation;
Validity: the dynamics of triangles;
Empathy: a value central to the development of collection methods;
Practical dynamics (without the use of N-Vivo).

Part II – Practice (face-to-face regime)

Lesson 3

Approach to the N-Vivo analysis environment;
Sharing of dynamic results and data insertion in an N-Vivo environment;
Reflections for instrument development and data analysis
Codification between theory and practice: basic operations.

Lesson 4

Encoding: basic operations (continued);
Phases of analysis and analysis by phases;
Memos: importance in the development of (cons)science.
Practical exercise: Analysis in N-vivo software;

Lesson 5

Data Questions;
Writing data in MQ;
Ecological data: continuous interaction of knowledge creation.

By the end of the course, participants will be able to:

• Recognize the importance of qualitative methods in individual and collective behavior;
• Structure the essential ideas for the construction of a qualitative project in its areas of action/research;
• Transpose the knowledge obtained to the preparation of work and reports in teams and organizations.

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