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QUALITATIVE - Coggle Diagram
QUALITATIVE
Processes in Qualitative Analysis
Data Reduction
Forces choices about which aspects of the assembled data should be emphasised, minimised, or set aside completely for the purpose of the project
Data Display
Allow the analyst to extrapolate from the data enough to begin to discern systematic patterns and interrelationships
Conclusion, Drawing, and Verification
Stepping back to consider what the analysed data mean and to asses their implication for the questions at hand
Strength and Weaknesses
Strength
Greater accuracy
Provide facts
Resulted more detailed
Deep understanding
Clarifying specific responses
Weaknesses
Slower
Expensive
Complicated
Intuitive
Limited
Introduction
Information gathered in non-numeric form.
Interview transcript, field notes,video, audio recordings
Qualitative Analysis in Perspectives
Provide ways of discerning, examining, comparing,
Deals with words and is guided by fewer universal rules and standardized procedures than statistical analysis
Formats For Analysis
Thematic Analysis
Content Analysis
Discourse Analysis
Processing The Data
1) need to think about the data from the moment you start to collect the information
2) You need to judge the value of your data, especially that which may come from dubious sources
3) As your research progresses, you need to interpret the data so that you, and others can gain an understanding of what is going on
4) Finally, you need to undertake the mechanical process of analysing the data
Practical Advice in Conducting Qualitative Analysis
Start the analysis right away and keep a running account of it in your notes
Involve more than one person
Leave enough time and memory for analysis and writing
Be selective when using computer software packages in qualitative analysis
Elements in Qualitative Research Approach
Purpose - Better understanding (complex situation)
Process - Holistic and Emergent
Data collection - Interview, comments, documents
Data Analysis - Inductive reasoning
Reporting Findings - Interpretive narratives