What are the different types of data used in policy analysis?

What are the different types of data used in policy analysis?

In policy analysis, data can be categorized into quantitative, qualitative, and mixed methods. Quantitative data includes numerical statistics, while qualitative data encompasses interviews and case studies. Mixed methods combine both.

Can you give examples of each type?

Sure! For quantitative data, an example would be census data or survey results. Qualitative data could be insights from focus groups or expert interviews. Mixed methods might involve a study that uses both surveys and interviews to gather comprehensive insights.

How do these data types influence policy decisions?

Different data types provide varied insights. Quantitative data offers measurable evidence, while qualitative data provides context and understanding of human behavior, which together can lead to more informed policy decisions.

What challenges are associated with using these data types?

Challenges include data availability, reliability, and the potential for bias. Quantitative data may lack depth, while qualitative data can be subjective. Balancing both types is crucial for effective analysis.