nominal data- categorical data, the frequency count of a particular variable is recorded at this level of measurement, these variables are discrete (they don't overlap), and the categories have no natural order.
when using nominal data other than frequency, psychologists can't discuss differences between each category, examples of nominal data- birth country, career choice, and taste in music
ordinal data- same properties as nominal data, (also a form of categorical data); however, the categories have a natural order. The difference between each point in ordinal scale is not consistent.
examples of ordinal data- include positions in a competition 1st 2nd 3rd, choice on a likert scale