What is the difference between qualitative and quantitative data in impact measurement?
An example of an AI chatbot conversation about qualitative vs quantitative data in impact measurement.
What is the difference between qualitative and quantitative data in impact measurement?
Qualitative data refers to non-numerical insights, like opinions and experiences, while quantitative data involves measurable statistics.
Can you give examples of each type of data?
Sure! Qualitative data examples include interviews and open-ended survey responses. Quantitative data examples include numerical ratings and statistical analysis.
Which type of data is more effective for measuring impact?
It depends on the context. Qualitative data provides depth and context, while quantitative data offers measurable evidence. Both are valuable.
How can I collect qualitative data for my project?
You can collect qualitative data through methods like focus groups, interviews, and open-ended surveys to gather detailed insights.
What tools can I use for quantitative data analysis?
Common tools for quantitative data analysis include Excel, SPSS, R, and Python libraries like Pandas and NumPy.
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