Non-comparative scaling data are generally assumed to be interval or ratio scaled.

Question

Quizplus · Accepted Answer

Non-comparative scaling data involves asking respondents to rate an object or attribute on a single scale without comparing it to any other object or attribute. This type of data is assumed to be interval or ratio scaled because it involves measuring a continuous quantity and has a meaningful zero point (e.g. temperature and weight).

Non-Comparative Scaling Data Are Generally Assumed to Be Interval or Ratio