What kind of questions does quantitative data typically utilize?

Quantitative data typically utilizes close-ended questions, which are designed to elicit specific numerical or categorical responses. Close-ended questions provide predefined answer options, making it easier to quantify the data collected. This structure allows researchers to conduct statistical analysis and draw clear conclusions.

For example, a close-ended question may ask respondents to rate their satisfaction on a scale from 1 to 5, providing quantifiable insights into customer preferences. By focusing on measurable outcomes, close-ended questions help in creating straightforward and uniform datasets that can be analyzed systematically.

This contrasts with subjective open-ended questions, which invite detailed, qualitative responses and are less structured, making them more difficult to analyze quantitatively. Numerical data is indeed a component of quantitative research, but it is not a type of question. Descriptive questions tend to be more exploratory and may not be solely focused on numerical or quantifiable answers. Thus, close-ended questions align perfectly with the nature of quantitative data.