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In general, it is best to recode a variable into a different variable so you in no way alter the initial info and can certainly entry the initial knowledge if you have to make distinct improvements afterwards.
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When recoding variables, often deal with the missing values 1st! The commonest recoding faults happen when you don't explain to SPSS explicitly how to proceed with lacking values: SPSS may recode missing values into among the new legitimate categories. This really is especially true if using the "Most affordable thru", "thru Optimum", or "Array - by way of" options.