nonquantified

Nonquantified is an adjective used to indicate that something has not been expressed in numerical quantities or subjected to measurement on a numerical scale. In data-driven fields, nonquantified information is contrasted with quantified data, which are captured as numbers or numeric codes.

In research methods, nonquantified data most often arise in qualitative research, nonexperimental observations, or descriptive reporting. This type of information is typically analyzed through thematic analysis, content analysis, or other interpretive approaches that do not rely on statistical computation. Examples include interview transcripts, open-ended survey responses, field notes, and case descriptions. Nonquantified data emphasize patterns, meanings, and context rather than numerical trends or tests of significance.

Outside of research, the term can appear in discussions of language and logic. In linguistics, nonquantified elements may refer to words that do not function as quantifiers, while in philosophical or logical contexts, nonquantified statements or variables may be described as not bound by quantifiers. However, usage in these areas is less standardized than in data analysis.

Overall, nonquantified data play a central role in qualitative inquiry and descriptive reporting, where depth, context, and interpretive insight are prioritized over numerical measurement. They complement quantified data by providing rich information about processes, experiences, and meanings that numbers alone cannot capture.

See also: quantification, qualitative data, qualitative research, measurement.