This article describes how to go from a Latent Class Choice Model, Hierarchical Bayes, or Ensemble of Models output created in Displayr:

To a variable containing the root likelihood (RLH) from the Latent Class or Hierarchical Bayes Choice Model, or Ensemble of Models output.

## Requirements

- A document containing a Latent Class or Hierarchical Bayes Choice Model or Ensemble of Models output created in Displayr.

## Method

- Select the Latent Class Choice Model output in your document.
- From the
**object inspector**, click**SAVE VARIABLE(S) > RLH (Root Likelihood)**. - A new variable will appear in the data set.

## Technical details

If the model output contains holdout questions, variables for in-sample and holdout RLH will be created, otherwise, just one RLH variable will be created.

RLH is not able to be saved to a variable for models with simulated data and models created using a CHO data file where respondent IDs were not specified

The RLH for each respondent is the geometric mean of the likelihoods of their tasks, i.e., the k^{th} root of the product of the likelihoods, where k is the number of tasks for the respondent.

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Next

How to Do the Statistical Analysis of Choice-Based Conjoint Data

How to Create an Experimental Design for Choice-Based Conjoint

How to Set Up a Choice-Based Conjoint Analysis in Qualtrics

How to Preview a Choice-Based Conjoint Questionnaire

How to Compare Multiple Choice Models

How to Create a Utilities Plot

How to Save Utilities from a Choice Model