In order to analyze the results of Alchemer Conjoint analysis, you will need to first convert the data file.
This article describes how to convert a choice model 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 Displayr.
Before running this script, Alchemer Conjoint and respondent data files first need to be added to the project. This script produces questions containing the choices and the respondent version in the respondent data set. These inputs can then be used to run a Conjoint analysis using Latent Class Analysis, Multinomial Logit, or Hierarchical Bayes.
The user is prompted to select a Conjoint data set imported from Alchemer, and a respondent data set containing a question Response ID.
- An Excel Alchemer Conjoint data file containing the following variables: Response ID, Set Number, Card Number, your Attribute variables with the shown level, and a Score variable.
- Survey data set with a Response ID variable matching the Conjoint data file. This file should have one row/case per Response ID.
- All variables in the Conjoint Data.csv file must be Numeric variables.
- Import the survey data set into Displayr. See How to Import Data into Displayr.
- Import the Alchemer Conjoint Data into Displayr (e.g., Conjoint Data.csv).
- In the Data Sets tree select the Conjoint data set.
- In the Anything menu go to Advanced Analytics > Choice Modeling > Convert Alchemer (Survey Gizmo) Choice Modeling Data for Analysis.
- You will now have the following Conjoint variables added to your respondent data file:
- If there is more than one other data set containing Response ID then the respondent data set must also be selected.
To use this data to run the conjoint analysis, see How to Do the Statistical Analysis of Choice-Based Conjoint Data. The Response ID from the conjoint data set is used as Version and Set Number as Task in your EXPERIMENTAL DESIGN section.