This article describes how to go from a Latent Class Choice Model output created in Displayr:
To a variable containing respondent-level class membership derived from the Latent Class Choice Model:
- A document containing a Latent Class Choice Model output created in Displayr.
- Select the Latent Class Choice Model output in your document.
- From the object inspector, click SAVE VARIABLE(S) > Class Membership.
A new nominal, mutually exclusive (Pick One) variable is saved to the data set containing the respondent-level class membership values.
Each respondent has a probability of being in each class. You can determine these probabilities by using SAVE VARIABLE(S) > Class Membership Probabilities and looking at the RAW DATA. The new variable generated by this script assigns each respondent to the class with the largest probability of membership.
The table below is a Raw Data table that shows the probability of each respondent being assigned to each of the classes from the Latent Class Choice Model: