What type of data is generally considered quantitative?

Quantitative data refers to data that can be quantified, meaning it is expressed in numerical form and can be subjected to statistical analysis. This type of data typically arises from measures that result in numerical outputs, such as counts, ratings, or scales that allow for quantitative assessments and comparisons.

In the context of survey responses with numerical data, these responses are often systematically collected using structured questionnaires or scales. The resulting data from these surveys can include ratings on a Likert scale (like 1 to 5) or categorical data that can be converted into numerical formats. Because this data can be easily analyzed using statistical methods, it is classified as quantitative.

In contrast, other answer choices involve qualitative data, which is descriptive and often non-numeric. Interview transcripts, focus group discussions, and personal journals provide rich, detailed insights into personal experiences, opinions, and narratives but do not lend themselves to the same statistical treatment as quantitative data. Thus, survey responses with numerical data stands out as the only quantitative option.