Lecture 7: Qualitative Data analysis II Flashcards
Quantiative content analysis
Focus on manifest meaning
little context needed
strict handling of reliability
Reliability checks more important than validity checks
at least partly concept-driven
fewer inferences to context, author, recipients
Strict sequence of steps
Qualitative content analysis
focus on latent meaning
much context needed
variable handling of reliabity
validity checks just as important as reliability checks
at least partly data-driven
more inferences to context, author, recipients,
more variability in carrying out steps
different approaches to text analysis Qualitative content analysis
- Discourse analysis
- Narrative analysis
- Rethorical analysis
Different approaches to quantative content analysis
Dictionary analysis
sentiment analysis
similarity analysis
Frequency analysis
similarity analysis
machine learning
Type of qualitative content analysis: Rhetorical analysis
Investigates what author of text is trying to achieve through their strategies, including tone + diction
Qualitative content analysis type: Discourse analysis
Discourse analysis: examines values, ideologies and contextual factors embedded within documen
qualitative content analysis type: Narrative analysis
narrative analysis: focuses on content + origins of a message as a ‘story”
Philosophical perspective in QCA: Purist (interpretivist)
purist (interpretivist) views quantative + qualitative techniques as fundamentally different
Neo-positivist in QCA
allows both qualitative as quantitative under positivist approach
Dualist (pragmatic) philosophical approach in QCA
Recognizes strengths + weaknesses in both approaches
What does self-reflexivity mean in qualitative research?
it involves the awareness of the researcher of heir influence on the study, accounting for biases in interactions + data interpretation
Potential benefits of Qualitative Data archiving
- archiving can enhance transparancy
support comparative analysis
reduce redundancy
promote collaboration
Challenges of qualitative data archiving
Issues include human-subjects concerns, metadata and indexing challenges, and possible impacts on data-collection practices
How to increase Trustwortiness in Qualitative research
- Triangulation: Corroborating findings with multiple sources.
- Intense Exposure and Thick Description: Providing sample contextual evidence and detailed reporting.
- Audit Trails: Documenting coding instruments and decisions to increase transparency
Triangulation
Triangulation corroborates findings through multiple sources or methods, supporting data accuracy and credibility .
* mixed method approaches (quantizing)
* member checking (author/sender)
