Quantitative vs Qualitative Data

The easiest way to define quantitative and qualitative data is to look at the root of the word. 

Quantitative à Quantity

Quantitative data deals with numbers. This type of data can be measured. For example, saying a picture on the wall is 8 inches by 13 inches. This data is measured. Methods of demonstrating this type of data include tables, charts, histograms and graphs.

Qualitative àQuality

Qualitative data deals with description. It usually groups information in categories. This type of data is observed but not measured. For example, saying the sofa is green. This data is observed but is not a unit of measure.

In regards to scientific research, quantitative data is usually preferred over qualitative data. This is because quantitative data is measured and usually more reliable than some qualitative data.

A research study can be an example that contains both quantitative and qualitative data. The quantitative data in this example is: “There are 20 participants in XYZ Study.” The qualitative data in this example is: “Each participant exhibits anxiety.”

An everyday example that can be described with both qualitative and quantitative data is a sheet of notebook paper. Qualitative data includes that there are lines on the paper. Quantitative data includes that a single sheet is 8.5 inches by 11 inches.

Plagiarism:

Using someone else's work without giving proper credit, is plagiarism. If you use my work, please reference it.