## Introduction

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 the menus, select **Anything > Advanced Analysis > MaxDiff > Diagnostic > Parameter Statistics Table**. 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.

## See Also

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

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