Based on the following information define ordinal type of data used in quantitative research. Provide an example , and Identify ordinal type of quantitative data that can be used with this form of statistics (parametric and non-parametric). Ordinal data relates to "identity (+) magnitude." Each value has a unique meaning and an ordered relationship to every other value on the scale. Each value is inherently greater or lesser than the others. Everyday Example: Likert scale on a questionnaire. For example: strongly agree, neutral, and strongly disagree. You read that Kentucky Blaze won his last race. This means that he came in first, before the horse that placed (came in second), and the horse that showed (came in third). "Win," "place," and "show" rank the order in which horses finished the race. However, we cannot tell from this data whether it was a close race or whether Kentucky Blaze won by a mile. Identity = win, place or show; Magnitude = win has a greater value than place or show