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What is Qualitative Data and Quantitative Data in Research? Video Lecture | Data Interpretation for UGC NET

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1. What is Qualitative Data in Research?
Ans. Qualitative data in research refers to non-numeric information that helps to understand the underlying reasons, opinions, and motivations of individuals. It is collected through methods such as interviews, observations, and open-ended surveys.
2. What is Quantitative Data in Research?
Ans. Quantitative data in research consists of numerical information that can be measured and analyzed statistically. It provides a more objective and structured approach to gathering data through methods like surveys, experiments, and statistical analysis.
3. What are the differences between Qualitative and Quantitative Data in Research?
Ans. Qualitative data focuses on understanding the meaning and context of data, while quantitative data emphasizes measurement and statistical analysis. Qualitative data is often exploratory, while quantitative data is more conclusive and precise.
4. How can Qualitative Data be analyzed in Research?
Ans. Qualitative data can be analyzed through techniques such as thematic analysis, content analysis, and narrative analysis. Researchers can identify patterns, themes, and insights from the data to draw meaningful conclusions.
5. How can Quantitative Data be analyzed in Research?
Ans. Quantitative data can be analyzed using statistical methods such as descriptive statistics, inferential statistics, and regression analysis. These techniques help researchers summarize and interpret numerical data to make informed decisions.
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