Nope.
Surveys with numeric responses provide quantitative data (you can add them up).
When I teach measures in my work, I talk about ways to sort measures. One was is sorting by hard or soft. Hard measures look at behaviors; soft measures look at perceptions. So, while a customer feedback survey provides quantative data, it is soft in nature. A measure which looks at customer retention, well, that's a hard data. It, too, is quantitative.
When I teach, I tell people they need to have both hard and soft measures. I think measures are, by definition quantitative. So, what I'm probably saying is that quantitative measures can be either hard (measuring behavior or results: retention rates or achievement test scores, for instance) or soft (measuring how students feel about school or why a new teacher says he quits).
We can have lots of different sorts of data:
- Quantitative vs. Qualitative
- Hard vs. Soft
- Leading vs. Lagging
- Producer-focused vs. Customer-focused
- Activity vs. Results
- Outputs vs. Outcomes
The more of the different kinds we have, the more complete a picture can we paint.
