The classes that are identified in the latent class analysis can be used to profile other questions from your data set. This article describes how to go from a MaxDiff Latent Class Analysis output:
To a variable containing the respondent-level class assignment:
Requirements
- A document containing a MaxDiff Latent Class Analysis output.
Please note these steps require a Displayr license.
Method
To save a new variable that assigns each respondent to a class:
1. Select your latent class analysis output.
2. From the object inspector, click Data > Save Variable(s) > Class Membership.
This will create a new nominal variable that you can use in crosstabs with other questions.
Note that in latent class analysis, each respondent has a probability of being assigned to each class, but when Class Membership is saved using this option, each respondent is assigned to the class with the highest probability. As a result, there will be some difference between the class sizes reported in the latent class analysis output and the number of respondents that are ultimately assigned to each class.
OPTIONAL: To save variables containing respondent-level class membership probabilities, select Data > Save Variable(s) > Class Membership Probabilities.
Next
How to Use Hierarchical Bayes for MaxDiff
How to Create MaxDiff Model Ensembles
How to Create a MaxDiff Model Comparison Table
How to Create a MaxDiff Experimental Design
How to Save Respondent-Level Preference Shares from a MaxDiff Latent Class Analysis
How to Convert Alchemer MaxDiff Data for Analysis in Displayr