Nominal and ordinal variables are both qualitative or discrete variables. Nominal variables allow for only qualitative classification while an ordinal variable is a nominal variable, but its different states are ordered in a meaningful sequence.
In qualitative variables, nominal data involves categories with no inherent order, such as colors or types of fruit. Ordinal data, on the other hand, includes categories that have a meaningful order or ranking, such as education levels or customer satisfaction ratings.
Nominal and ordinal. I was actually looking for the answer on this and other sites, and couldn't believe no one would answer it. I finally found it in a book, and hopefully, your search is now much easier than mine.....can't we all just get along:)
Qualitative 100% its that and not quantitative The variable is qualitative because it is an attribute characteristic.
I think it has to do with the quasi you cannot randomly assign people to groups and cannot infer causality. With correlational you are simply examine the relationship between two nominal variables.
Qualitative measurement is a method used to describe characteristics or attributes instead of quantifying them numerically. It focuses on qualities such as color, texture, taste, and appearance, providing descriptive information rather than numerical data.
Variables in qualitative research help to capture and analyze different aspects of the research phenomenon. They guide the researcher in exploring relationships, patterns, and themes within the data. Variables can also be used to categorize and compare different attributes or characteristics of the participants in the study.
nominal and ordinal is wrong; those are the two types of qualitative variables. Ratio and interval are the two types of quantitative variables.
The median shows where the 'middle' of your data is. For qualitative data, this only makes sense when the variable is ordinal. An ordinal variable is one whose values have a natural order, eg never/rarely/sometimes/often/always. If you have nominal data (qualitative data with no order) eg democratic/republican/other, you might find the mode (most common value) useful.
There are many ways of categorising variables. One classification, used in statistics, is Nominal, Ordinal and Interval.
Ordinal
Nominal.
nominal
Ordinal.
It is ordinal.
It is ordinal.
is environmental advertising nominal and ordinal scale
Ordinal. Though more likely interval or even ratio scale.
Three, they are: Constant,dependant, & controlled. Alternatively, you can say there are 4: nominal, ordinal, interval, and ratio.