What is a common type of subjective quantitative measure used by researchers?

A Likert scale is a widely used form of subjective quantitative measurement in research that allows participants to express their attitudes or feelings towards a statement on a defined scale, typically ranging from "strongly disagree" to "strongly agree." This type of scale yields numerical data that can be statistically analyzed, enabling researchers to quantify subjective perceptions and compare responses across different groups or over time.

In contrast, interview transcripts, focus groups, and observation records are generally qualitative in nature. Interview transcripts capture verbatim responses, which do not provide the same level of quantification as a Likert scale. Focus groups generate discussions that lead to rich qualitative insights, but they do not result in quantifiable data. Observation records can vary in their approach, but they often involve detailed notes that describe behaviors rather than employing a structured, numerical rating system like the Likert scale. This distinction highlights how the Likert scale stands out as a reliable tool for quantifying subjective experiences in research.