Converting from continuous to categorical measures
A)results in loss of information about a variable.
B)works because higher levels of measurement have all the properties of lower levels of measurement.
C)in many cases is really useful for interpreting the results.
D)is a process that really isn't subject to a lot of rules.
E)All of these are correct.

Question

Quizplus · Accepted Answer

Converting from continuous to categorical measures indeed results in a loss of information because the precise values are grouped into broader categories. This process is based on the principle that higher levels of measurement include the properties of lower levels, allowing for such conversion. It can be useful for interpreting results, as categorical data may be easier to analyze and understand in certain contexts. Lastly, while there are guidelines for converting continuous data to categorical data, the process can be flexible and dependent on the specific goals of the analysis, indicating that it isn't strictly ruled.

Converting from Continuous to Categorical Measures