Ordinal data violates these. Nonparametric tests rely on (ordering of values) rather than actual numbers, making them appropriate.
The "average" of a Likert scale (e.g., 3.4) may be theoretically meaningless. Ordinal data violates these
Suppose we want to compare the satisfaction ratings (ordinal data) of customers who purchased three different products. We can use the Kruskal-Wallis H test in SPSS: "Strongly Disagree" to "Strongly Agree")
In social science research, medicine, and psychology, data does not always conform to the rigid requirements of interval or ratio scales. Frequently, researchers deal with —variables where the order of values is significant, but the distance between them is unknown. Common examples include Likert scales (e.g., "Strongly Disagree" to "Strongly Agree"), pain scales, and military ranks. and military ranks. Parametric tests (e.g.
Parametric tests (e.g., t-test, ANOVA) assume: