Difference between Qualitative and Quantitative Data
The key differences between Qualitative and Quantitative Data are:
Qualitative vs Quantitative Data |
|
|---|---|
| Qualitative Data | Quantitative Data |
| Qualitative data uses methods like interviews, participant observation, focus on a grouping to gain collective information. | Quantitative data uses methods as questionnaires, surveys, and structural observations to gain collective information. |
| Data format used in it is textual. Datasheets are contained of audio or video recordings and notes. | Data format used in it is numerical. Datasheets are obtained in the form of numerical values. |
| Qualitative data talks about the experience or quality and explains the questions like ‘why’ and ‘how’. | Quantitative data talks about the quantity and explains the questions like ‘how much’, ‘how many . |
| The data is analyzed by grouping it into different categories. | The data is analyzed by statistical methods. |
| Qualitative data are subjective and can be further open for interpretation. | Quantitative data are fixed and universal. |
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Difference Between Qualitative and Quantitative Data
Qualitative and Quantitative Data: Statistics is a subject that deals with the collection, analysis, and representation of collected data. The analytical data derived from methods of statistics are used in the fields of geology, psychology, forecasting, etc.
Quantitative data is numerical, countable, and measurable, providing information on how many, how much, or how often. Qualitative data, on the other hand, is descriptive, interpretative, and language-based, helping us understand the reasons, processes, or contexts behind certain behaviors.
In this article, we will discuss qualitative and quantitative data and the differences between qualitative and quantitative data as well.
Table of Content
- What is Qualitative Data?
- Examples of Qualitative Data
- What is Quantitative Data?
- Examples of Quantitative Data
- Difference between Qualitative and Quantitative Data
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