How to Perform MaxDiff Multinomial Logit Analysis – Displayr Help

Multinomial logit on MaxDiff data is equivalent to a single-class latent class analysis.

The table below shows the output of multinomial logit using MaxDiff data on technology companies. The distribution of respondent parameters is displayed for each alternative, with blue and red columns corresponding to positive and negative parameters, respectively:

Requirements

A document containing your MaxDiff respondent data.
A MaxDiff experimental design.

Note: If your MaxDiff data is from Alchemer or Qualtrics, see:

Method

In the Report tree, select +> Advanced Analysis > MaxDiff > Multinomial Logit.
Select your experimental design. You can use an existing table, an R output, variables from a data set, or a URL. For this example, I'm using an existing table that I've added to my project by copying it from Excel and pasting it onto my page using Ctrl + v (or Cmd + v on a Mac).
The Design input table should be in a format similar to the one shown below. The 'Version' column is optional when there is only one version in the design. The 'Question' column is also optional. However, if these columns are included, they must be named 'Version' and 'Question'. The columns after this contain the indices of the alternatives presented to the respondents.
Select the Version variable from your respondent data set. If you have only one version, leave this blank.
In Best selections, choose the variables in your data set that identify the options that were selected as best, or most preferred, for each task. The order of the selected variables should match the design order (i.e., the variable for the first task should be selected first, the variable for the second task should be selected next, and so on).
In Worst selections, choose the variables in your data set that identify the options that were selected as worst, or least preferred, in each task.
OPTIONAL: Click on Add alternative labels, and enter the alternative names in the first column of the spreadsheet editor. The order of the alternatives should match the order in the design.
Click the Calculate button if the model doesn't automatically run.
OPTIONAL: In the Save Variable(s) section, choose the variables you want to save. You can read more about each option in the "Next" section below.
OPTIONAL: In the Diagnostics section, choose the diagnostics of your choice.