UPCOMING WEBINAR: The Roadmap for Market Researchers in the Age of AI This article describes how to go from a Hierarchical Bayes model output:
To a series of trace plots which show the main parameters change as the analysis progresses over the iterations for each chain:
Requirements
- A document containing a Hierarchical Bayes output.
Method
- Select the Hierarchical Bayes output.
- From the object inspector
, click Data > Diagnostics > Trace Plots.
A trace plot output will be generated:
The grey half-section on the plots indicates the warm-up iterations, which are excluded from the final results. The non-grey part is the final result. With more than a couple of cores, these plots can be hard to read. Beyond the warm-up stage, the range of each chain should overlap almost entirely with those of the other chains. If one chain appears higher or lower than the others, this would indicate a problem with the model, and more iterations may be required.
Next
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 Classes from a MaxDiff Latent Class Analysis
How to Save Respondent-Level Preference Shares from a MaxDiff Latent Class Analysis
How to Convert Alchemer MaxDiff Data for Analysis in Displayr
How to Create a Table of Parameter Statistics from a Hierarchical Bayes Analysis
How to Create a Posterior Intervals Plot from a Hierarchical Bayes Analysis