What best defines quantitative data in the context of research methods?

Quantitative data in research methods refers to information that can be quantified, measured, and expressed numerically. This type of data is often collected through various tools such as surveys, experiments, or observations that produce measurable outcomes. It is characterized by its ability to be analyzed statistically, allowing researchers to identify patterns, relationships, or differences within the data.

Using statistical techniques, quantitative data can yield results that can be generalized to larger populations. By focusing on numerical data, researchers can apply mathematical models to draw conclusions and make predictions based on the information collected. This method emphasizes objectivity and reliability, often contrasting with more subjective forms of data.

In this context, qualitative experiences and narratives, subjective interpretations, or personal opinions do not constitute quantitative data. Instead, these options center on descriptions, feelings, or insights that cannot be easily transformed into numbers and are typically analyzed through qualitative research methods. This distinct separation highlights the unique role that quantitative data plays within the broader field of research methods.