In SPSS, there are three basic options for recoding variables: Each of these options allows you to re-categorize an existing variable. Recode into Different Variables and DO IF syntax create a new variable without modifying the original variable, while Recode into Same Variables will permanently overwrite the original variable.
Recoding several variables into several new variables is straightforward: simply fill in multiple input variable names after RECODE and multiple output variable names after INTO. Just make sure that the number of input variables matches the number of output variables.
If you a lot of variables, you definitely want to use syntax to do both. The commands are RECODE and VALUE LABELS. If you look them up in the Command Syntax Reference manual. It’s in the Help as a pdf. hello, how to know whether data that i have is already recoded or not?
If you are a Qualtrics user and have downloaded your "raw" survey data in SPSS format, using syntax to modify variable labels or compute new variables means that you don't have to worry if you lose the SPSS data file you've been working in; you can just re-download the raw data from Qualtrics and rerun your syntax to get your data back.
Method 1Click Transform > Recode into Different Variables.Double-click on variable Rank to move it to the Input Variable -> Output Variable box. In the Output Variable area, give the new variable the name RankIndicator. ... Click the Old and New Values button. ... Click OK.
Using the [Recode into Same Variable] function. From Transform Menu --> Recode into Same Variable --> Old and New Variables --> System Missing --> in value space add the value you want to replace the missing data with --> continue --> Ok. Done.
1. Select Transform/Recode/Into Different Variables. 2. Select the variable to be dichotomized.
Recode a given range in SPSS StatisticsEnter the data in the SPSS Statistics Data Editor and name the variable "Scores". ... Click on Transform > Recode Into Different Variables... in the top menu. ... Transfer the variable you want to recode by selected it and pressing the button, and give the new variable a name and label.More items...
From the menus choose: Transform > Replace Missing Values...Select the estimation method you want to use to replace missing values.Select the variable(s) for which you want to replace missing values.
You can specify the missing=listwise subcommand to exclude data if there is a missing value on any variable in the list. By default, missing values are excluded and percentages are based on the number of non-missing values.
It means: Take a variable with multiple different values (>2), and transform it so that the output variable has 2 different values. Note that this “thing” can be understood as consisting of two different aspects: Recoding and cutting.
What is Syntax? SPSS syntax is a programming language that is unique to SPSS. It allows you to write commands that run SPSS procedures, rather than using the graphical user interface. Syntax allows users to perform tasks that would be too tedious or difficult to do using the drop-down menus.
Click the “Transform” menu at the top of the SPSS data sheet, then select “Recode Into Different Variable,” because you will transform the categorical variable into one or more dichotomous or dummy variables. This opens a window that displays the variables in your data set.
0:482:31SPSS Tables - Multiple variables with same values - YouTubeYouTubeStart of suggested clipEnd of suggested clipUp select variables that you want to show in my case 4.1. And I'm holding the shift key and then goMoreUp select variables that you want to show in my case 4.1. And I'm holding the shift key and then go to 4.7 to select all of them in one go and drag. It then to the rows.
1:234:53Value Labels - SPSS - YouTubeYouTubeStart of suggested clipEnd of suggested clipSo if you're on data view you got to click on variable view and then click on values. And a windowMoreSo if you're on data view you got to click on variable view and then click on values. And a window will come up and you just have to type in the number associated with each level.
To do this, click Analyze > Multiple Response > Frequencies. All multiple response sets you've defined during the current SPSS session will appear on the left.
Recoding into the same variable ( Transform > Recode into Same Variables) works the same way as described above, except for that any changes made will permanently alter the original variable. That is, the original values will be replaced by the recoded values.
Recoding into a different variable transforms an original variable into a new variable. That is, the changes do not overwrite the original variable; they are instead applied to a copy of the original variable under a new name.
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.
This method uses the "Lowest thru" and "thru Highest" ranges. The "Lowest thru" option acts as "less than or equal to some-number " , and the "thru Highest" option acts as "greater than or equal to some-number ".
We’re assuming that you’ve fired up SPSS, opened a data file, or entered new data, and you’re looking at the Data View window.
As its name suggests, if you choose this option, SPSS will use an input variable to create a new recoded variable.
If you take a look at the Data View, you’ll see you’ve got a new variable which contains the recoded values.