Certified Professional in Talent Development (CPTD) Practice Exam

What type of data is used in qualitative analysis?

1. Statistical data

2. Non-measurable data

3. Quantitative data

4. Historical data

The correct answer is: Non-measurable data

In qualitative analysis, non-measurable data is utilized to explore and understand underlying themes, patterns, and meanings. This type of data typically consists of descriptive information, such as interviews, open-ended survey responses, observations, and textual or visual material. The focus is on the quality of the data rather than numerical measurement, allowing for a deep understanding of participants' experiences and perspectives. Statistical data refers to numerical information that can be analyzed mathematically, which is not the focus of qualitative analysis. Quantitative data deals with measurable forms that can be counted or expressed numerically, making it unsuitable for qualitative approaches, which seek to gather insights and understand complex phenomena on a more subjective level. Historical data, while it can sometimes be used in qualitative research, is not inherently non-measurable; it often includes both qualitative and quantitative elements, depending on how it is analyzed. Therefore, non-measurable data aligns perfectly with the nature of qualitative analysis.