How do I combine multiple response variables in SPSS?

How do I combine multiple response variables 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 convert multiple data in SPSS?

Restructure data in SPSS

  1. From the Data tab, select Restructure.
  2. In the “Restructure” window, select Restructure selected variables into cases, and then click next.
  3. Under “How many variable groups do you want to restructure?”, select the correct number (in the example here, there are two variables, weight and calories).

How do you do multiple response crosstabs in SPSS?

Using the Multiple Responses

  1. Click in the menubar on Analyze.
  2. Click on Crosstabs.
  3. Click on the multiple response set and move it to the Row(s)
  4. Click on the variable you want to cross with and move it to the Column(s)
  5. Click on Define Ranges.
  6. Specify the range of codes for the values you want to show.
  7. Click on Continue.

How do I use multiple response crosstabs in SPSS?

How to define multiple response sets in Excel?

To define a multiple response set through the dialog windows, click Analyze > Multiple Response > Define Variable Sets. A Variables in Set: The variables from the dataset that compose the multiple response set. For surveys, this is typically the set of columns corresponding to the “selectable” choices for a single survey question.

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?

What are the codes for multiple response variables?

The multiple response variables should be numeric. If they are string, you will need to convert them to numeric codes (see the Automatic Recode procedure). Numeric code (typically 1) if present, blank (missing) if not present. Numeric codes representing present and not present (such as 0=Absent, 1=Present).

Is it possible to have multiple multivariate responses?

We are not here to discuss multivariate responses in general, nor repeated measures, nor panel data or longitudinal data, etc. In statistical computing terms, such multiple responses may pose difficulties both for data structure and for data analysis.