What type of data is typically categorized as quantitative?

Quantitative data refers to numerical information that can be measured and analyzed statistically. This type of data often involves responses that can be quantified, which allows for easier comparison and aggregation. Survey ratings, such as those collected on a Likert scale (e.g., 1 to 5 stars), are a clear example of quantitative data. These ratings provide measurable insights into opinions or behaviors, making them suitable for statistical analysis.

The other types of data mentioned, such as experiential observations, descriptions of personal experiences, and subjective evaluations, generally rely on qualitative data. These forms of data focus on understanding complexities and nuances in personal experiences or perceptions, rather than providing a numerical measurement that can be easily analyzed. Therefore, survey ratings distinctly stand out as the option that aligns with the definition and characteristics of quantitative data.