How do you recode multiple variables in one variable?

How do you recode multiple variables in one variable?

Running the Procedure

  1. Click Transform > Recode into Different Variables.
  2. Double-click on variable CommuteTime to move it to the Input Variable -> Output Variable box. In the Output Variable area, give the new variable the name CommuteLength, then click Change.
  3. Click the Old and New Values button.
  4. Click OK.

What is a multiple response variable?

Multiple Response Sets. This collection of variables is called a multiple response set. In a multiple dichotomy set, a separate variable is created for each of the valid responses to the question. Each variable has two possible values, which indicate whether or not the response was selected by the survey taker.

How do I recode multiple responses in SPSS?

Creating and Using a Multiple-Response Set in SPSS

  1. Open the Apples and Oranges.
  2. Choose Analyze→Multiple Response→Define Variable Sets.
  3. In the Set Definition list, select each variable you want to include in your new multiple dataset, and then click the arrow to move the selections to the Variables in Set list.

How do I combine questions in SPSS?

From the top menu bar in SPSS, select Transform -> Compute variable. You should now see the following dialogue box. Place the cursor in the brackets, select the variables you want to merge, and click on the arrow. Repeat with all the variables, separating them with comas.

How do I combine multiple categorical variables in SPSS?

SPSS Combine Categorical Variables Syntax

  1. *1. Declare new tmp string variable. string tmp(a1000).
  2. *2. Combine values and value labels of doctor_rating and nurse_rating into tmp string variable.
  3. *3. Convert string variable into numeric.
  4. *4. Delete tmp string variable.
  5. *5. Optionally, apply variable label to end result.

What are multiple responses?

A standard type of Multiple Response, or Multiple Answer question looks like an MCQ except that the student can choose more than one answer. Multiple Answer questions are often used to elicit from the student all the items that match a particular definition or that conform to a particular condition. …

How do you read multiple response data?

To properly analyze multiple response questions in SPSS, your dataset should have the following structure:

  1. Each row (case) should represent one subject, survey response, or experimental unit.
  2. For a given multiple response question, each answer option should be represented in a separate column (variable).

How do you analyze multiple responses?

To define a multiple response set through the dialog windows, click Analyze > Multiple Response > Define Variable Sets.

  1. A Variables in Set: The variables from the dataset that compose the multiple response set.
  2. B Variables Are Coded As: The data values used to indicate that the category was present.

How do I merge two groups in SPSS?

How to Combine Variables in SPSS

  1. Pull Up Data. Go to “File” in the tool bar at the top of the page in SPSS.
  2. Add Variables Together. Click the “Transform” menu at the top of the window and select “Compute” from the drop-down menu to open the Compute Variable dialog box.
  3. Multiply Variables.

Can you reduce the number of variables to ten?

I would like to reduce the number of variables to ten or so while still retaining as much predictive power as possible. Added: The reduced set of variables needs to be a subset of the original variable set in order to preserve the economic meaning of the original variables.

How to recode multiple response variables in SPSS?

How to recode multiple response variables in SPSS into a single categorical variable. Is it possible, if more than one choice is indicated , for the recode to use a priority system in choosing which one to specify in the new variable?

Is there a variable for each possible answer?

That is, there should be a variable for each possible answer, with value 1 if a respondent uses a specific package and 0 otherwise. The first respondent in this example uses R and some other package; the second respondent uses R, S-Plus, and Stata; and so on. We use names for the variables that have a common prefix.

Is it good to have multiple responses in Stata?

In statistical computing terms, such multiple responses may pose difficulties both for data structure and for data analysis. Most commonly, they are held as a set of variables, but sometimes it can be useful to hold them as a single variable.