Recoding in SPSS

You will have completed most of the steps for Assignment 1 in Discussions 1 and 2. The exception is recoding. Recoding allows you to take numeric variables and group the responses into categories or take the responses to categorical variables and group them into fewer categories. For example, take the variable “age” (age of respondent) for which participants answer with their numeric age. Let’s say you want to group ages into categories.

Here’s one way age is typically categorized:

18-24 years old
25-34 years old
35-44 years old
45-54 years old
55-64 years old
65-74 years old
75 years or older

To perform a recode in SPSS, after you have imported in the GSS data file, you use the TRANFORM function. Click on Transform – Recode into different variable.  On the left-hand side, click on the variable “age of respondent [age]” and move it over to the right. Under Output Variable, you will give your new recoded variable a name and label, and click Change. (I would call it “ager” and label it “recode of age into categories.”) When you recode a numeric (interval/ratio) variable, you are telling it what the original numbers are and how you want to code (assign numbers to) the new categories.Click on Old and New Values. I would recode it like this:

Old value (Range): 18-24     New value: 1Old value: 25-34     New Value: 2Old value: 35-44     New Value: 3Old value: 45-54     New Value: 4Old value: 55-64   New Value: 5Old value: 65-74     New Value: 6Old value: 75-89     New Value: 7Old value: 98, 99      New Value: system missingContinue – OK

Your new recoded variable will then be at the bottom of the variable list. In variable view, you can go in an assign labels to the numbers (i.e., 1 is labeled 18-24, 2 is labeled 25-34, etc.).

Another example might be a categorical variable that has too many categories and you would like to combine some of the categories that are similar to create a variable with fewer categories. Let’s take a look at the variable “denom16” – denomination in which r was raised. With a categorical variable (nominal or ordinal), the first step of recoding is to look at how the variable is coded (numbers assigned to the categories) to begin with.

I like to go back to the GSS data explorer site to see this, but in SPSS you can go to ANALYZE – REPORTS – CODEBOOK and look up your variable. Denom 16 is coded like this:

Code        Label10         Am baptist asso11         Am bapt ch in usa12         Nat bapt conv of am13         Nat bapt conv usa14         Southern baptist15         Other baptists18         Baptist-dk which20         Afr meth episcopal21         Afr meth ep zion22         United methodist23         Other methodist28         Methodist-dk which30         Am lutheran31         Luth ch in america32         Lutheran-mo synod33         Wi evan luth synod34         Other lutheran35         Evangelical luth38         Lutheran-dk which40         Presbyterian c in us41         United pres ch in us42         Other presbyterian43         Presbyterian, merged48         Presbyterian-dk wh50         Episcopal60         Other70         No denomination98         Don’t know99         No answer0           Not applicable

I think it’s always best to code starting with 0 or 1 (depending on what you’re doing), so here I would start with one. In the recoding process, we will take each of the old categories and combine them into new categories and give them new codes (numbers). It’s not hard, it just needs to be precise.In SPSS, after you have imported the GSS data file in, click on Transform – Recode into different variable. On the left-hand side, click on the variable “Denomination in which r was raised [denom16]” and move it over to the right. Under Output Variable, give it a new name and label, and click Change. (I would call it “rdenom16” and label it “recode of denom16.”)Click on Old and New Values.

I would recode it like this:Old value: (Range) 10-18     New value: 1Old value: 20-28     New Value: 2Old value: 30-38     New Value: 3Old value: 40-48     New Value: 4Old value: 50   New Value: 5Old value: 60     New Value: 6Old value: 70     New Value: 0Old value: 0      New Value: system missingOld value: 98-99      New Value: system missingOld value: system or user missing   New Value: system missingThen select CONTINUE and then OK. (It will look like this…)

The new variable will be placed at the very bottom of the variable list. (You can go into the variable view in SPSS and label the new codes (numbers) with 0=no denomination, 1=baptist, 2=methodist, 3=lutheran, 4=presbyterian, 5=episcopal, 6=other.) When you run future analyses, remember that the recoded variable is at the bottom. The original variable is still there in its original place.

About GSS

Instead of collecting and entering new data into SPSS, we will use the GSS for our analysis in the course. The GSS is a regularly conducted survey by the National Opinion Research Center (NORC) at the University of Chicago, whose purpose is to provide the nation’s social scientists with accurate and up-to-date data for analysis and to provide general attitude/behavioral information based on the US culture.  Beginning back in 1972, The GSS was an annual survey until 1994 when it became biennial (conducted every two year).  Over its lifespan of nearly 50 years, the GSS has asked approximately 50,000 respondents more than 4,500 questions on topics ranging from religion, affirmative action, women’s duties in the home, and homosexual marriage, to spirituality, genetic testing, abortion, and legalization of marijuana. GSS data are a representative sample of American adults. In GSS 2016 data set, 2867 non-institutionalized, English- or Spanish-speaking individuals were sampled to provide responses to the list of survey questions via in-person or telephone interviews. More information can be found here: General FAQS about the GSS.

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