Computer Assisted Qualitative Data Analysis 2400-OG-EN-CAQDA
What is qualitative analysis in science? Can it be structured? Is it based solely on the instinct of researchers, or can it be refuted? Can the computer be useful to us in qualitative analysis only for playing sapper or as a typewriter? In this course, we will learn the basics of computer-assisted qualitative data analysis. Using Maxqda (qdalab) software, which is widespread among analysts, we will learn procedures for coding data, mapping relationships, linking processes, visualising relationships, adjusting and building theoretical models based on data sets. During the course, we will work on textual material, images, videos, websites, social networks and maps.
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Total student workload
Learning outcomes - knowledge
Learning outcomes - skills
Learning outcomes - social competencies
Teaching methods
Expository teaching methods
- participatory lecture
Exploratory teaching methods
- seminar
Online teaching methods
Course coordinators
Assessment criteria
Assessment methods:
Research project, participation
Grading criteria:
ndst - work does not meet requirements
dst/dst+ - basic analytical techniques, basic coding
db/db+ - extensive database, advanced analytical techniques
bdb- additionally data visualisation techniques
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: