This article describes how to go from a MaxDiff Latent Class Analysis output:
To variables which 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 output.
Method
To create variables that contain estimated preference shares for each respondent, based on the latent class analysis:
1. Select your latent class analysis output.
2. Select Anything > Advanced Analysis > MaxDiff > Save Variable(s) > RLH (Root Likelihood).
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