Final answer:
In SPSS, 'Scale' refers to both interval and ratio level data, where comparisons of differences and ratios are meaningful. Nominal and ordinal data, which include categories and ordered ranks without meaningful differences, are not considered 'Scale' data in SPSS.Option C is the correct answer.
Step-by-step explanation:
In the context of SPSS, the term 'Scale' refers to c. Both interval and ratio level data. These two levels of measurement allow for meaningful comparison of data through differences (interval level) and ratios (ratio level). Nominal data are qualitative and consist of categories with no inherent order, such as colors or labels. Ordinal data can be ordered, but the differences between them are not meaningful numerically. Thus, nominal and ordinal data are not referred to as 'Scale' in SPSS.
To illustrate, nominal level data might include categorizing cars by color, where the color does not imply a ranking. Ordinal level data could rank cities by the quality of life, but the difference between ranks is not quantifiable. Interval level data, such as temperature in Celsius, has differences that are meaningful, but since it lacks a true zero, ratios are not meaningful. Finally, ratio level data includes measurements such as weight or height, where there is a true zero and both differences and ratios are meaningful.