This article describes how to go from a MaxDiff Latent Class Analysis output:

To new variables which 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 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) > 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