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 posterior intervals plot which shows the range of the main parameters in the analysis:
Requirements
- A document containing a Hierarchical Bayes output.
Method
1. Select the Hierarchical Bayes output.
2. From either the toolbar > Anything or the '+' menu in the Report tree, select Advanced Analysis > MaxDiff > Diagnostic > Posterior Intervals Plot. A posterior intervals plot output will be generated:
The black dot corresponds to the median, while the red line represents the 80% interval of the draws, and the thin black line is the 95% interval. The plot includes the distributions of the estimated means and standard deviations. This gives us an understanding of the uncertainty regarding the conclusions shown in the earlier histograms.
For example, comparing Apple and Microsoft, we can see that there is little overlap in the distributions of the means, which tells us that the data shows a clear average preference for Apple being greater than for Microsoft. Looking at the standard deviations, we can see that the value for Apple is, by far, the largest for any of the brands. This tells us that it is a divisive brand (i.e., some people love it, others like it much less).
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 Table of Parameter Statistics from a Hierarchical Bayes Analysis