When you initially enter your data, leave any missing values as blank cells. There are two types of missing values in SPSS: 1) system-missing values, and 2). Automatic Recode in order for SPSS to recognize blank strings as missing values. SPSS offers two choices under the recode command: Into Same Variable and Into. To get SPSS to fill in all the empty cells, go to Transform – Recode into Same.
Recoding Into Same Variables replaces the values in the existing variable.
For example, the syntax below uses IF to replace all system missing values by 99. SPSS RECODE replaces data values with different values. In SPSS Syntax, missing values can be addressed via the keywords. Undefined values: Consider RECODE XX (1=2) (2=1) INTO YY.
Missing values in SPSS can be of two types: System Missing and user-defined missing. A note on missing values and recodes in SPSS. It is because system-missing values are defined only for numeric variables. I am strugling recoding missing values in SPSS using the graphical user interface.
RECODE var1 var2 var3 var4 var5 (SYSMIS=999) (ELSE=COPY). SPSS: Common Data Transformations & Case Management. I can easily recode numeric variables using the GUI and. In SPSS, $sysmis is the name of the system missing value. According to SPSS rules, blank values in string (text) variables are valid.
You have now learned how to recode variables into groups with specified CAUTIONARY. It is always convenient and recommended to recode string variables. NOTE: Check the codes for your missing values.