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MODULE 4

Recode Sex; this is also an example of dummy coding (coding a dichotomous variable with 0 and 1).

Start off by importing the ExampleData001.sav into the Data Editor window of PASW / SPSS (from this point forward referred to as simply SPSS).

To recode an item it is generally recommended that one use the 'Recode into Different Variables...' menu choice of the 'Transform' button on the SPSS task bar. That way we preserve the original data or the data in its original form.

Next, we want to move the variable Sex [Gender] into the "Numeric Variable --> Output Variable:" box. Then we can name the output variable Sex_RC with the label Gender Recoded and click the "Change" button, which will move the output variable into the middle box; as shown below. Next, click on the "Old and New Values" button.

Now we can specify the old and new values by typing a 1 in the "Old Value" "Value" box and typing a 0 in the "New Value" "Value" box; then click the "Add" button to bring that re-code to the "Old --> New:" box. Then, type a 2 in the "Old Value" "Value" box and typing a 1 in the "New Value" "Value" box; then click the "Add" button to bring that re-code to the "Old --> New:" box. Then we can click the "Continue" button.

Next, click on the "OK" button (or the "Paste" button if you prefer to maintain a syntax file for your records). The output window should pop up and show the syntax for the recode procedure.

Next, go back to the Data Window and click on the "Variable View" tab at the lower left corner. Once in the Variable View, select the "Values" cell of our newly created Sex_RC variable. Specifically, you want to click on the button with three dots. This will bring up the "Value Labels" dialog box.

       

Inside the "Values" field, first type a zero (0) and type Female in the "Label:" field, then click the "Add" button. Second, type a one (1) in the "Values" field, and type Male in the "Label:" field, then click the "Add" button. Now we can click the "OK" button to finish assigning value labels to the recoded variable.

That concludes the recoding of Sex (with label Gender and value labels 1 = Female, 2 = Male) into Sex_RC (with label Gender Recoded and value labels 0 = Female, 1 = Male).

Remember, this is also an example of dummy coding (coding a dichotomous variables with zeros and ones) as would be done for entering a categorical variable into a regression model/analysis.

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Contact Information

Jon Starkweather, PhD

Jonathan.Starkweather@unt.edu

940-565-4066

Richard Herrington, PhD

Richard.Herrington@unt.edu

940-565-2140

Last updated: 01/21/14 by Jon Starkweather.

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