a) Gives a realistic view of the situation that cannot be shown in numerical data.
Understanding qualitative data may not use statistical analysis such as that used with quantitative data.
Elements of qualitative analysis:
1. Researchers respect and capture details of the individual and their story. They see each participant as unique.
2. Inductive analysis – the researcher looks for themes, patterns and inter- relationships.
3. Holistic perspective - the researcher acknowledges that there is more to the issue than what is in front of them
4. Context sensitive – the researcher places findings in a social, historical and time context.
5. Voice, perspective, and reflexivity – the researcher is aware of their own voice and perspective.
Complete objectivity is impossible, but through reflection and awareness, a balance can be maintained between subjective understanding and authentic representation of the results.