UPCOMING WEBINAR: From Thousands of Tables To One Clear Story: using AI in survey analysis This article describes how to go from a MaxDiff Latent Class Analysis or Hierarchical Bayes output:
To variables that contain RLH (root-likelihood) for each respondent, according to a MaxDiff latent class analysis or MaxDiff hierarchical Bayes output.
Requirements
- A document containing a MaxDiff Latent Class Analysis or Hierarchical Bayes output.
Method
- Select your MaxDiff output.
- From the object inspector
, click Data > Save Variable(s) > RLH (Root Likelihood).
- A new variable will be created in the Data Sources tree.
When shown in a SUMMARY table, the output will show a summary table of the new variable.
Next
How to Do Latent Class Analysis
How to Do MaxDiff Latent Class Analysis
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