The choice between nominal, dimensional, nominal IV, and dimensional DV depends on the nature of your data and the specific research question you are investigating.
Choosing what type of variables to use when testing a statistic
When choosing what type of variables to use when testing a statistic, think about what kind of data you have and what question you want to answer in your research.
Nominal:
Nominal data is just groups or names without any specific order or numbers. It is used when you want to see how often things happen or how many there are in different groups. For instance, if you want to see the differences in the number of people who support different political parties in an election.
Dimensional:
Dimensional data shows the size or amount of things using a scale that can keep going without stopping. It could be numbers that have intervals or comparisons. Dimensional variables give more details and can make measurements and analysis more accurate. For instance, if you want to find out how tall, heavy, or hot someone is.
Nominal IV means the independent variable that has categories or groups, and Dimensional DV means the dependent variable that has numbers or measurements.
If you have a category that doesn't change and a measurement that does change, you're seeing how the category affects the measurement. This can be done by using methods like ANOVA or regression analysis. For instance, if you want to study how different types of treatment affect patients' blood pressure.