Marketing - MaxDiff - Diagnostic - Parameter Statistics

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Produces a table of parameter statistics for both Marketing - MaxDiff - Latent Class Analysis and Marketing - MaxDiff - Hierarchical Bayes outputs. With latent class analysis, this is a table containing parameter estimates and significance-testing statistics. With hierarchical Bayes, this is a table containing sample statistics of the mean and standard deviation parameters for the distribution from which individual coefficients are sampled. For more information on how to interpret this output, see this blog post.

Example

The table below shows parameter statistics from a Choice Modeling - Latent Class Analysis output:

The next table shows parameter statistics from a Choice Modeling - Hierarchical Bayes output:

Technical details

Whenever hierarchical Bayes analysis is run with multiple classes, an attempt will be made to match class labels between chains (note that it is often not possible to match class labels). If this succeeds, or if only one chain was specified, one set of mean and standard deviation parameters will be shown for each class in the parameter statistics table. In addition, class size parameters will also be displayed. If this attempt is unsuccessful, the parameter statistics table will not be able to be shown.

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Customizing the QScript

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JavaScript

includeWeb("QScript R Output Functions");

main();

function main() {

    // The following 2 variables contain information specific to this diagnostic.
    var required_class = "FitMaxDiff";
    var output_name_suffix = "parameter.statistics";
    
    var item = checkSelectedItemClass(required_class);
    if (item == null)
        return false;
    var r_name = stringToRName(item.referenceName);

    // The following lines contain the R code to run
    var expression = "r.name <- flipMaxDiff::ExtractParameterStats(" + r_name + ")";

    return createROutput(item, expression, output_name_suffix);
}

Acknowledgements

Uses the rstan R package.

See also

See MaxDiff Software or What is MaxDiff? for an overview of key MaxDiff concepts and resources.