Maxqda: software for conducting qualitative and mixed methods research 24-SODL-W-MAX

A review of the basic potential and limitations of qualitative and quantitative research.
Key strategies for conducting qualitative and mixed methods research
Sources and tools for obtaining basic data and their critical selection
The basic idea, functions, potential and limitations of computer programs to support qualitative data analysis
Importing different types of data into Maxqda
Computer-assisted transcription of interviews using Maxqda as an example, and the potential and limitations of text-based, audio and video-based analysis.
Coding material: different ways of creating codes, changing the range of codes, code tree structure
Auto-coding of textual material: interviews, press, public consultation material, quantitative textual analysis.
Variables as an additional dimension characterising research material, their creation, modification, use
Notes, paraphrases, summaries and links as additional analytical tools in the development of qualitative material.
Analysis of relationships between codes and between codes and variables and document group membership; cross-tabulations, interactive citation matrices
Statistical analysis of codes and variables and the relationships between them (Stats module)
Visualisation of relationships involving material, codes and variables, maps of relationships between phenomena, word clouds and trees, graphs
Presentation and discussion of student projects

Module learning aims

1) consolidate knowledge of qualitative research gained in earlier stages of studies by working with sample data 2) develop skills in the use of MAXQDA - qualitative and mixed data analysis software (CAQDAS) - from the basics to advanced features 3) Become familiar with examples of the application of CAQDAS-type programs in social research and analysis of existing data.

Information on where to find course materials

MS Teams

Methods of teaching for learning outcomes achievement

Lecture supported with multimedia presentations Problem-based learning Individual consultations and assistance during classes

Student workload (ECTS credits)

4 ECTS

Cycle of studies

1st cycle

Module type

optional

Year of studies (where relevant)

Year 3

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

Basic knowledge of qualitative research in sociology, basic computer skills with Windows

Course coordinators

Filip Schmidt

Learning outcomes

At the end of the course Student(s):
Can list and illustrate with examples the basic strategies for conducting qualitative and mixed methods research and qualitative analysis of textual and graphical material.
Understand the potential and limitations of computer-assisted qualitative and mixed-methods data analysis software.
Is able to download, critically select and prepare a variety of types of secondary data for qualitative analysis.
Can transcribe interviews using computer software Is familiar with examples of research projects that have used computer-assisted qualitative and mixed methods analysis
Can independently carry out qualitative analysis of textual material using Maxqda software
Independently carry out mixed and quantitative analysis of textual material using Maxqda software.
Is able to produce visualisations, illustrations and comments on the analyses carried out in Maxqda

Assessment criteria

Homework assignments, consisting of sending in examples analysed by yourself or the results of an independent exercise, or presenting them to the group at the beginning of the next class
Computer-assisted tasks involving the extraction, preparation and analysis of data using the indicated techniques and tools learnt in class, along with commentary
Prepare and carry out your own data analysis supported by Maxqda and submit a written or multimedia presentation of the results, together with a written description of the assumptions, activities carried out and interpretation of the results and files generated during the analysis

Bibliography

1) Jakub Niedbalski, Komputerowe wspomaganie analizy danych jakościowych (CAQDAS) w projektowaniu i prowadzeniu badań, Półrocznik Nauka i Szkolnictwo Wyższe 1/41/2013, s. 185-187 i 194-202, https://pressto.amu.edu.pl/index.php/nsw/armcle/download/1664/1633
2) Kathy Charmaz, Teoria ugruntowana: praktyczny przewodnik po analizie jakościowej, Warszawa 2009, PWN
3) Udo Kuckartz, Stefan Rädiker, Analyzing Qualitative Data with MAXQDA. Text, Audio, and Video, Springer, Wiesbaden 2019.
4) https://www.maxqda.com/help-mx22-teamcloud/start/welcome

Additional information

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

Description of 24-SODL-W-MAX in USOSweb