How to Save Sawtooth-Style Preference Shares (K Alternatives) Variable(s) from MaxDiff Latent Class Analysis

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. 

Method

1. Select your latent class analysis output.
2. From the object inspector , click Data > Save Variable(s) > Sawtooth-Style Preference Shares (K Alternatives). 

When displayed in a SUMMARY table, the output shows the preference shares as an Average in decimal form.

To show this as a percentage you can change the Statistics > Cells to % Share or % Column Share (if the table is a crosstab).

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