MAXQDA: computer software for qualitative and mixed methods data analysis 24-SODU-S-MAX

Course objectives:
1. to ground the knowledge of qualitative research gained at earlier stages of studies in practical exercised with actual qualitative data. Students usually have little practical experience in the application of concepts acquired in previous education stages The course should enable to apply the theoretical knowledge about qualitative data analysis in practice;
2. to teach how to use basic and advanced Maxqda functions:
- importing various types of data
- computer-assisted transcription
- coding and assigning variables
- performing lexical analyses
- creating paraphrases and memos
- creating visualizations.
3. to show examples of using the CAQDAS software in social research and analysis of existing data. Examples from recent research projects are used in which Maxqda has been applied.

Module learning aims

Course objectives: 1. to ground the knowledge of qualitative research gained at earlier stages of studies in practical exercised with actual qualitative data 2. to teach how to use basic and advanced functions of MAXQDA - software for qualitative data analysis 3. to show examples of using the CAQDAS software in social research and analysis of existing data.

Information on where to find course materials

The address of the virtual disk is given to the participants during the first classes and by e-mail (the email listed in USOS system or given to the teacher during the first classes).

Major

sociology

Methods of teaching for learning outcomes achievement

- Presentation of MAXQDA functions based on social and market research examples - Interactive exercises using MAXQDA - Discussions within the group - Individual consultations - Homework (individual exercises used to test the acquired skills)

Student workload (ECTS credits)

Cycle of studies

2nd cycle

Module type

elective

Pre-requisites in terms of knowledge, skills and social competences

Basic knowledge about qualitative research in sociology Basic computer skills (using Microsoft Windows)

Course coordinators

Filip Schmidt

Learning outcomes

Obtaining credits, the student is able to:
1. list basic strategies for conducting qualitative and mixed research and qualitative analysis of text and graphic material and illustrate them with examples
2. collect various types of existing data and prepare them for qualitative analysis.
3. perform qualitative analysis of text and graphic material using the MAXQDA software

Assessment criteria

There are two forms of obtaining credits to choose from:
(a) Pass the Final test: perform a set of tasks using MAXQDA (extraction, preparation and analysis of data using the techniques and tools learned throughout the course);
(b) Prepare and execute student's own mini research project based on qualitative data analysis using MAXQDA (a written or multimedia presentation of the project's aims, assummptions, methods and results is required as well as mx18 file containing results).
Evaluation criteria:
(1) Scope of material and analysis
(2) Correct use of the software.

Bibliography

Udo Kuckartz; Stefan Rädiker, Analyzing Qualitative Data with MAXQDA: Text, Audio, and Video, Springer, 2019
Jakub Niedbalski, Komputerowe wspomaganie analizy danych jakościowych (CAQDAS) w projektowaniu i prowadzeniu badań, "Nauka i Szkolnictwo Wyższe", nr 1 (41), 2013
https://www.maxqda.com/learn-maxqda

Additional information

Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system:

Description of 24-SODU-S-MAX in USOSweb