Ordinal Data: Nonparametric Statistical Analyses And Spss Applications Pdf ((better)) Download -

The critical statistical limitation of ordinal data is that the "distance" between values is not guaranteed to be equal. The cognitive leap from "Disagree" to "Neutral" may not be the same magnitude as the leap from "Agree" to "Strongly Agree." Because parametric tests rely on means and standard deviations (which assume equal intervals), they can be misleading when applied to ordinal data.

Ordinal data is a type of data that can be ordered or ranked, but the differences between the values are not equal. For example, a survey respondent's level of satisfaction with a product may be measured on a scale of 1-5, where 1 is "very dissatisfied" and 5 is "very satisfied". The responses can be ordered from most dissatisfied to most satisfied, but the differences between consecutive levels are not equal. The critical statistical limitation of ordinal data is

Use case: Comparing satisfaction levels (Ordinal) between Men and Women. For example, a survey respondent's level of satisfaction