In preparing categorical variables for analysis, it is usually best to
A)convert the categories to numeric representations.
B)convert the categories to binary, dummy variables.
C)combine as many categories as possible.
D)let them remain categorical.

Question

Quizplus · Accepted Answer

Converting categorical variables to binary, dummy variables allows for easier comparison between categories and avoids assigning numerical values that may not accurately reflect the underlying relationship between the categories. Additionally, keeping the categories separate allows for more nuanced analysis and the ability to investigate relationships between specific categories.

In Preparing Categorical Variables for Analysis, It Is Usually Best