Which of the following is NOT a characteristic of qualitative data?

Qualitative data is typically characterized by the collection of non-numerical information that captures the qualities, attributes, and subjective experiences of individuals. This type of data often involves interviews, open-ended survey responses, and observational notes, focusing on understanding the depth and complexity of human behavior and social phenomena.

The correct selection identifies that qualitative data does not measure numerical variables, which is a defining feature. Instead, it seeks to interpret and understand the meanings behind human actions and experiences rather than quantify them. This contrasts with quantitative data, which is specifically about measuring variable quantities and is expressed numerically.

The aspects of qualitative data being harder to replicate, providing high validity, and carrying more meaningful insights often support the richness of the data. Qualitative methods prioritize context and the meaning-making process, which contributes to their higher validity and potential for in-depth understanding over mere numbers. In summary, the essence of qualitative data lies in its ability to convey experiences and interpretations, not in numerical measurement.