Create an ensemble of MaxDiff models by averaging the respondent parameters. The output may either be a table comparing the underlying models and the ensemble, or histograms of respondent parameters of the ensemble. In either case, MaxDiff functions to save variables (e.g. Individual-level Coefficients) may be applied to the ensemble.
To run the ensemble in Displayr, use the Compare Models function by selecting Anything > Advanced Analysis > MaxDiff > Ensemble of Models.
To run the ensemble in Q, select Create > Marketing > MaxDiff > Ensemble of Models.
Inputs
MaxDiff models created in Displayr and Q are used as the inputs to the ensemble. The inputs are shown in the image below.
Options
Input models At least 2 MaxDiff models.
Ensemble Whether to create an ensemble by taking the average of the respondent parameters across the models.
Output
- Comparison A table comparing metrics from models (and the ensemble, if selected).
- Ensemble Histograms of respondent parameters, as per the underlying MaxDiff outputs.
Histograms of ensemble parameters
More information
See Comparing MaxDiff Models and Creating Ensembles blog post for an example of comparing models.
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Displayr: How to Create MaxDiff Model Ensembles