Enter the data in the SPSS Statistics Data Editor and name the variable " Runs ". The original value 3 remains unchanged. (You could use DO IF-ELSE IF for recoding a categorical variable, but there's no real reason to use it over Recode; the Recode syntax is shorter and more efficient for that situation.). In the Output Variable area, give the new variable the name, Handle missing values first: In the Old Value area click, Define the underclassmen group (1): In the Old Value area click, Define the upperclassmen group (2): In the Old Value area click, 2 = Commute is more than 30 minutes, but less than 60 minutes (30 < time < 60), Double-click on variable CommuteTime to move it to the Input Variable -> Output Variable box. Choose Analyze→Multiple Response→Frequencies. Published with written permission from SPSS Statistics, IBM Corporation. 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. Click on 4. For example, the response to a particular question may have been measured on a 5-point scale and you might want to reverse the coding so that 1 becomes 5, and so on. Double-clicking on a function name will add it to the "Include if case satisfies condition" box. ), they can be a bit tedious to use when you want to recode or transform multiple variables (e.g., when reverse-scoring multiple responses in a survey data set). 2 Put the variable you want to recode in the Input Variable → Output Variable box. This will allow you to specify the conditions under which the recode will be applied to your data. Why didn't we use the "Range" option to specify category 2? 1 The left column displays all of the variables in your dataset. IF v#a=1 ethnic=1. You can also use parentheses to group or distribute the effects of an operator. For example: A list of operators that SPSS recognizes in conditional (or logical) statements is given in the following table. That is, the original values will be replaced by the recoded values. The COMPUTE statements are where the new variable(s) are actually computed or set. B Output Variable: Define the name and label for your recoded variable(s) by typing them in the text fields. The most common recoding errors happen when you don't tell SPSS explicitly what to do with missing values: SPSS may recode missing values into one of the new valid categories. No results were found for your search query. ... q1_R q1_SPlus q1_SAS q1_SPSS q1_Stata q1_others 1. 1. When you are ready to run the procedure, click OK. Now your new variable will be recoded according to the criteria you specified. SPSS: Multiple response tables (via Custom tables) (by P. Stikker) Creating a multiple response set In order to create a frequency table or a cross table from a question with multiple answers, you first need to create a multiple response set. An alternative, which also allows us to do further analysis, is to use the Multiple Response command. We'll dichotomize variables v4 to v6 by changing values 1, 2 and 3 into 0 and values 4 and 5 into 1 as implied by recode v4 to v6 (1,2,3 = 0)(4,5 = 1). Right-click on the new CommuteLength variable and click Descriptives Statistics. ), you would not use the assignment statement var=. When you are finished defining the conditions under which your recode will be applied to the data, click Continue. Recode into Different Variables was able to correctly account for all possible values in that situation. However, it should NOT be used if one or both of the endpoints is "open" (which happens if a group is defined by a "[strictly] greater than" or "[strictly] less than" statement). About Recode Values. Click the arrow in the center to move the selected variable to the center text box, (B). 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. To specify the conditions under which the recode should be applied, however, you will need to click Include if case satisfies condition. This creates a dichotomous variable with cut-off point between 2 and 3. A typical grading scheme in the United States is: Recall that the Range specification in Recode into Different Variables allows us to specify a range of values which includes both endpoints. 2. After recoding, we should be able to compare the frequencies old and new variables. The Recode into Different Variables window will appear. How to make a frequency tabel for multiple response items Step 1 is to specify which variables have to be combined into a set; we use the DATA menu for this. Example: This method tells SPSS exactly how to map each old category onto a new category. We should also be able to check our new variable to make sure that it performed as we expected. Recode changes to codes of one or more variables (varlist1) according to a list of specifications enclosed in parentheses. Search support or find a product: Search. If you are using version 20, you may need to put dashes before each COMPUTE statement inside the DO IF block. To recode into different variables, click Transform > Recode into Different Variables. Need more help? IF v#f=1 ethnic=6. Exampe of data: IF v#b=1 ethnic=2. The Multiple Response Frequencies dialog box. Once you are finished, click Change. The multiple response sets that are defined through Analyze - Multiple Response - Define Variable Sets only exist for as long as that current session of IBM SPSS Statistics is open. ELSE is optional -- you don't necessarily have to use it, but it is often more convenient to use than addressing every possible outcome using ELSE IF. Click in the menubar on 2. Suppose we want to recode these scores to have a letter grade using the scheme described above. (If you have value labels, perhaps you should change these now accordingly). There should be an identical number of missing values; the number of underclassmen should equal the sum of the number of freshmen and sophomores; and the number of upperclassmen should equal the sum of the number of juniors and seniors. Note that this method works OK for integers, but will often yield unexpected results when used on variables that have one or more nonzero decimal places. Cite. IF v#d=1 ethnic=4. After recoding we must respecify the value labels for all three variables. Dichotomizing a continuous variable transforms a scale variable into a binary categorical variable by splitting the values into two groups based on a cut point. In the Output Variable area, … This method uses ranges. In general, it is good practice not to recode into the same variable because it overwrites the original variable. Let's try recoding this variable into three ordinal groups: To check your work, go to the Variable View tab in the Data Editor window. When recoding variables, always handle the missing values first! Syntax to add variable labels, value labels, set variable types, and compute several recoded variables used in later tutorials. For example, for case 2 in the example data, both v#a and v#b are selected. Multiple responses depend on the half normal percent probability and the ANOVA. For the "D" and "C" grades, we could try specifying the ranges as [60, 69.9] -> D and [70, 70.9] -> C. This could work if scores were only recorded to one decimal place, but what would happen to a score with two decimal places -- say, 69.99? Now the center text box, (B), will display both the name of the original variable as well as the name for the new variable (e.g., “Height --> Height_categ”). Search, None of the above, continue with my search. (We discuss the If option in more detail later in this tutorial.). You may encounter this syntax error after executing a DO IF block: If this happens, you may need to add a hyphen (-) before the COMPUTE statement(s). Had we not first handled the missing values, category 2 would have included all of the cases with 30 < time < 60 and all of the cases with missing values. This is especially true if using the "Lowest thru", "thru Highest", or "Range - through" options. For example, I have types meanscom for indicating "means of communication". DO IF-ELSE IF syntax performs similarly to the Recode procedures, but allows for more control over specifying numeric ranges. Click Transform > Recode into Different Variables. This method tells SPSS exactly how to map each old category onto a new category. Discretizing a continuous variable transforms a scale variable into an ordinal categorical variable by splitting the values into three or more groups based on several cut points. 1 1 0 0 0 0 0 0 0 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". If the recode was performed successfully, we should see the new variable in the Data Editor window. 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. Indicate which number code (s) should be counted as "present". Get Useful Information In Seconds. You will use one or more variables to define the conditions under which your recode should be applied to the data. This means that cases meeting the conditions will be recoded, and cases not meeting the conditions will be assigned a missing value. Multiple responses—in the sense used here—are defined by a degree of open-endedness. SPSS offers two choices under the recode command: Into Same Variable and Into Different Variables. IF v#c=1 ethnic=3. Remember that each individual's results go on a separate line (row) in SPSS Statistics. We will show three different ways of defining the categories that produce identical results. Double-click on variable Rank to move it to the Input Variable -> Output Variable box. Once you have specified all the transformations that you wish to make for the selected variable, click the “Continue” button. Check here to start a new keyword search. Combining multiple responses into one variable in SPSS Statistics Question As the title suggests I would like to know how to turn the results of a multiple response question into a single variable, so it can be used to run a variety of tests. In the sample dataset, the variable Rank has the categories Freshman (1), Sophomore (2), Junior (3), and Senior (4). If you ever needed to use the variable in its original form (or wanted to double-check your steps), that information would be lost. This method uses the "Lowest thru" and "thru Highest" ranges. 2 The default specification for a recode is to Include all cases. You can find your new variable in the last column in Data View or in the last row of Variable View. C Old and New Variables: Click the Old and New Values to specify how you wish to recode the values for the selected variable. This changes all occurrences of value 4 to value 3. Once again, suppose you wanted to create a dummy variable from trial1 with a cutpoint of 2. The above example showed how to discretize a continuous variable into three categories using Recode into Different Variables. We'll illustrate this with a test case, then show how to use DO IF syntax to properly implement the desired recoding scheme. Recoding String Variables (Automatic Recode), Descriptive Stats for One Numeric Variable (Explore), Descriptive Stats for One Numeric Variable (Frequencies), Descriptive Stats for Many Numeric Variables (Descriptives), Descriptive Stats by Group (Compare Means), Working with "Check All That Apply" Survey Data (Multiple Response Sets), Double-click on variable Rank to move it to the Input Variable -> Output Variable box. A dummy variable from trial1 with how to recode multiple responses in spss complex and powerful programming language receive or. Group list the SPSS dataset on respondent ID using Version 20, you need split. Score/Code ) is, the original variable into the table ( s ) by typing them the. 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