Recoding (Transforming) variables in SPSS
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- Опубликовано: 22 авг 2024
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Sometimes you will want to transform a variable by combining some of its categories or values together. For example, you may want to change a continuous variable into an ordinal categorical variable, or you may want to merge the categories of a nominal variable. In SPSS, this type of transform is called recoding.
In SPSS, there are three basic options for recoding variables:
• Recode into Different Variables
• Recode into Same Variables
• DO IF syntax
Each of these options allows you to re-categorize an existing variable. Recode into Different Variables create a new variable without modifying the original variable, while Recode into Same Variables will permanently overwrite the original variable. In general, it is best to recode a variable into a different variable so that you never alter the original data and can easily access the original data if you need to make different changes later on.
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Hello and thank you If I transform certain items in the questionnaire using a square root transformation to avoid non normality, under a lCB-SEM approach, will there be changes in the interpretation after conducting the structural model assessment? Specifically, is it sufficient to interpret the t-statistics and discuss the significance of the relationships as usual? Thank you
Yes, it is sufficient to interpret the t-statistics and discuss the significance of the relationships. However, if you want to analyze deeply how the relationships (between independent variables and dependent one) are, you must be careful to interpret correctly according to your square root transformation distribution.
@@HKT-SPSS thank you very much for your reactivity and response
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