UPCOMING WEBINAR: Cluster analysis: Classic, powerful, and still worth knowing 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