Why transform continuous variables into categorical variables?

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* Another example of why you would want to transform a continuous variable into a categorical variable is if there are only a few responses on some of the answer choices in the continuous variable. [[Image:Fe40.png]] - Imagine a scale range from 1-11 in which answer choice 4 and answer choice 9 received only 1 response each. One response is not enough data for meaningful interpretation. You may want to collapse the 11 point scale into 3 or 4 categories.  
* Another example of why you would want to transform a continuous variable into a categorical variable is if there are only a few responses on some of the answer choices in the continuous variable. [[Image:Fe40.png]] - Imagine a scale range from 1-11 in which answer choice 4 and answer choice 9 received only 1 response each. One response is not enough data for meaningful interpretation. You may want to collapse the 11 point scale into 3 or 4 categories.  
* Keep in mind that creating the new categorical variable is answering a different research question than the original continuous variable. When you splice the continuous variable into categories, any data analysis using the new categorical variable must be interpreted in line with the categories.
* Keep in mind that creating the new categorical variable is answering a different research question than the original continuous variable. When you splice the continuous variable into categories, any data analysis using the new categorical variable must be interpreted in line with the categories.
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Latest revision as of 20:57, 7 September 2009

It is possible to transform continuous variables into categorical variables




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