UPCOMING WEBINAR: The complete guide to analyzing NPS 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.
Please note these steps require a Displayr license.
Method
- Select the Latent Class Choice Model output in your document.
- From the object inspector, click Data > Save Variable(s) > RLH (Root Likelihood).
- A new variable will appear in the Data Sources tree.
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 kth root of the product of the likelihoods, where k is the number of tasks for the respondent.
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