In data analysis, how are qualitative data typically described?
Understand the Problem
The question asks how qualitative data is typically described in data analysis. Qualitative data is non-numerical and is usually described using frequencies and proportions.
Answer
Qualitative data is descriptive, using words or labels to describe characteristics. Analysis involves identifying patterns and themes.
Qualitative data is descriptive, using words or labels to describe characteristics or traits. It is often collected from interviews, observations, and documents to understand experiences and behaviors. Analysis involves identifying patterns and themes within the data.
Answer for screen readers
Qualitative data is descriptive, using words or labels to describe characteristics or traits. It is often collected from interviews, observations, and documents to understand experiences and behaviors. Analysis involves identifying patterns and themes within the data.
More Information
Qualitative data is distinct from quantitative data, which uses numerical values. Common qualitative data analysis methods include content analysis, thematic analysis, and narrative analysis. The data is 'indexed' to develop analytical categories.
Tips
A common mistake is trying to apply quantitative analysis techniques to qualitative data. It is important to focus on interpreting the meaning and context of the data rather than trying to measure it numerically.
Sources
- Qualitative Data Analysis: Step-by-Step Guide (Manual vs. Automatic) - getthematic.com
- What Is Qualitative Data? Characteristics & Examples - Datamation - datamation.com
- Qualitative Data Analysis | Urban Institute - urban.org
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