UPCOMING WEBINAR: From Thousands of Tables To One Clear Story: using AI in survey analysis This article describes how to go from a Hierarchical Bayes model output:
To a table of parameter statistics from the Hierarchical Bayes model:
Requirements
- A document containing a Hierarchical Bayes output.
Method
1. Select the Hierarchical Bayes output.
2. From Properties, go to Data> Diagnostics > Parameter Statistics Table.
3. A table containing the Hierarchical Bayes parameter statistics will be generated:
The table shows the following statistics:
- mean = the mean
- se_mean = the standard error of the mean
- sd = standard deviation
- n_eff = the effective sample size
- Rhat = the potential scale reduction statistic of the main parameters
What we want to see are values of 100 or more in the n_eff column and ideally 1.1 or less in the Rhat column. If there are problems with convergence, this can be corrected by rerunning the model with more iterations. A good rule of thumb is to keep doubling the number of iterations until the model converges. For more information, see Checking Convergence When Using Hierarchical Bayes for MaxDiff.
Next
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 Trace Plots from a Hierarchical Bayes Analysis
How to Create a Posterior Intervals Plot from a Hierarchical Bayes Analysis