Transform Continuous Variable into a Categorical Variable using SPSS

#transformVariablesinSPSS
#ContinioustoCategoricalvariables
#Recodingvariablesinspss

Transform Continuous Variable into a Categorical Variable using SPSS

We now have two options: recode into other variables and recode into the same variables. Recording into Different Variables is the only option that should be utilized. If you make a mistake, you may try again since your original variable is still in the file. If you make a mistake when using Recode Into the Same Variables, the original variable will be changed. If you saved the file after doing this and didn't have a backup, you've effectively ruled out all chance of undoing your error.

We may wish to change the value of a variable by merging some of its categories or values. For example. We could want to convert a continuous variable to an ordinal categorical variable or combine the categories of a nominal variable, this sort of transformation is known as recoding in SPSS. Assume you performed a survey and one of the demographic items you asked was the respondent's age. The simplest approach to work with the data would be to enter the actual age in years. However, let's assume you wish to compare persons from various age groups. In other words, if your data was sorted into categories like "Young," "Middle Age," and "Old” For example, you may have measured people’s BMI (body mass index) as a continuous variable but may want to use it to create groups such as low weight, normal and overweight. it would be more useful to go for further parametric and comparative analysis.

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