Let's say you want to learn how a group will vote in an election. You face a classic decision of gathering qualitative vs. quantitative data. With one method, you can ask voters open-ended questions ...

Quantitative research uses surveys, experiments, or pre-existing data to gather information. The goal is to collect enough structured and standardized data so you can confidently generalize the ...

Quantitative data is a result of research methods that product measure and quantified data. ... Unlike quantitative data, qualitative data is not collected in a quantified, measured data format.

That’s why two types of analysis—quantitative and qualitative—play such a central role in investment research. Each method offers a different lens: one focused on measurable performance, the ...

Rather than measuring “how many”, qualitative methods answer questions related to “why” and “how” to provide context and meaning behind the statistics. ... Virtually all businesses can benefit from ...

Both qualitative analysis and quantitative methods can be used to make decisions. ... qualitative methods rely on information that is not easily measurable while quantitative methods deal with data.

Using methods like interviews, focus groups and ethnography, qualitative research seeks to answer the “why” and “how” behind people’s experiences and behavior. It provides essential context and nuance ...

Attribute data are characteristics that aren’t readily quantified by hard numbers. It is a discrete data type. Making use of it requires more data on hand, as well as a robust method of ...

There are four types of customer relationship management (CRM) data: quantitative, qualitative, descriptive and identity. Understanding what specific information falls under these categories and ...