Data reduction, data display construction, and conclusion-drawing and verification are the steps in qualitative data analysis.
<h3>What is qualitative data analysis?</h3>
Utilizing computational and statistical techniques, quantitative data analysis focuses on the analytical, mathematical, or numerical study of datasets.
There are three processes and qualitative data analysis after data collecting.Instead of going through each stage one at a time, researchers alternate between them repeatedly.
The three steps in qualitative data analysis are-
- Data reduction,
- building data displays, and
- coming to/verifying
The reason if iteration of the qualitative data analysis are-
- The procedures of categorization, coding, theory creation and iteration, as well as negative case analysis, all work together to reduce the amount of data.
- The process of categorizing involves coding and labeling portions of the transcript or photographs.
- The categories can then be incorporated into a theory using iterative data analysis.
- The second step involves data displays.
- In tables or figures, data is presented as pictures of findings to make it easier to understand and communicate the information.
- After an exhaustive iterative procedure, researchers can make judgment calls and confirm their results.
- Researchers try to prove the validity of their data analysis at the verification/conclusion drawing stage.
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