In order to analyze the results of Alchemer MaxDiff data, you will need to first convert the data file.
This article describes how to convert a MaxDiff data file provided by Alchemer (formerly known as Survey Gizmo) and add the responses to the main survey data set in a format suitable for analysis in Q.
Requirements
- An Excel Alchemer MaxDiff data file containing the following variables: Response ID, Combination, your Attribute variables with the shown attribute, and the Best and Worst selection variables.
- Survey data set with a Response ID variable matching the MaxDiff data file.
- If you don't have a survey data set, but still want to do the MaxDiff analysis: you can create a dummy dataset with one variable named Response ID containing the unique response id numbers from the MaxDiff data. This is most easily done in Excel:
- If you don't have a survey data set, but still want to do the MaxDiff analysis: you can create a dummy dataset with one variable named Response ID containing the unique response id numbers from the MaxDiff data. This is most easily done in Excel:
Method
- Import the survey data set into Q.
- Import the Alchemer MaxDiff Data into Q.
- From the toolbar menu, select Automate > Browse Online Library > Marketing > MaxDiff > Convert Alchemer (Survey Gizmo) MaxDiff Data for Analysis.
- At the first prompt, select the Alchemer MaxDiff data set and click OK.
- At the next prompt, select the respondent data set and click OK.
New variables containing best/worst choices along will be added to the respondent data set. A MaxDiff experimental design output will be added to the report tree as well.
Use the outputs in step 5 as the inputs in the steps in either How to Use Hierarchical Bayes for MaxDiff or How to Do MaxDiff Latent Class Analysis.
-
- EXPERIMENTAL DESIGN > Design source > Use an existing table and select the experimental design table output created above.
- RESPONDENT DATA > Version > Version from the respondent data set.
- RESPONDENT DATA > Best/Worst from the best/worst variables added to the respondent data set.
Next