This article describes how to go from a MaxDiff Latent Class Analysis output:
To new variables that contain the Sawtooth-style preference shares (formula here) for the alternatives in a MaxDiff latent class analysis, MaxDiff hierarchical Bayes or MaxDiff ensemble output. The shares are computed from the individual-level coefficients generated by the MaxDiff analysis.
Requirements
- A document containing a MaxDiff Latent Class Analysis, Hierarchical Bayes, or model ensembles output.
Please note these steps require a Displayr license.
Method
- Select your latent class analysis output.
- From the object inspector, click Data > Save Variable(s) > Sawtooth-Style Preference Shares (K Alternatives).
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