This article describes how to go from a MaxDiff Latent Class Analysis output:
To variables which contain estimated preference shares for each respondent, based on the latent class analysis.
Requirements
- A document containing a MaxDiff Latent Class Analysis output.
Method
To create variables that contain estimated preference shares for each respondent, based on the latent class analysis:
1. Select your latent class analysis output.
2. From the Report tree or Anything in the toolbar, select + > Advanced Analysis > MaxDiff > Save Variable(s) > Preference Shares.
When displayed in a SUMMARY table, the output shows the average preference share for each alternative.
To see the shares assigned to each respondent, select the table and then, in the object inspector under Data > Data Source > Columns, change from Summary to Raw Data.
Next
How to do Latent Class Analysis
How to do MaxDiff Latent Class Analysis
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 Respondent-Level Preference Shares from a MaxDiff Latent Class Analysis
How to Convert Alchemer MaxDiff Data for Analysis in Displayr