Qualitative data
Qualitative data is a type of data that is non-numerical and used in qualitative research. It is often compared to quantitative data, which is data that is numerical in nature. Qualitative data can be observed and recorded, and it is typically descriptive and more subjective than quantitative data.
Types of Qualitative Data[edit | edit source]
There are several types of qualitative data, including:
- Observational Data: This type of data is collected through observations. It can include notes, video recordings, audio recordings, and photographs.
- Interview Data': This type of data is collected through interviews. It can include transcripts of interviews, notes taken during interviews, and audio or video recordings of interviews.
- Document Data: This type of data is collected from documents. It can include letters, emails, reports, policy documents, and other written materials.
- Focus Group Data: This type of data is collected from focus groups. It can include transcripts of the focus group discussions, notes taken during the focus group, and audio or video recordings of the focus group.
Analysis of Qualitative Data[edit | edit source]
The analysis of qualitative data involves interpreting the data to find patterns, themes, and meanings. There are several methods for analyzing qualitative data, including:
- Thematic Analysis: This method involves identifying themes in the data.
- Content Analysis: This method involves categorizing the data and counting the number of times each category occurs.
- Narrative Analysis: This method involves analyzing the stories that are told in the data.
- Discourse Analysis: This method involves analyzing the use of language in the data.
See Also[edit | edit source]
References[edit | edit source]
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Contributors: Prab R. Tumpati, MD