By default, choice models in Displayr treat attributes as being categorical, estimating the utility for each level of each attribute. An alternative approach is to treat the attribute as being numeric (see Numeric versus Categorical Attributes in Choice Models in The Data Story Guide).
Requirements
A document containing a choice model.
Method
- Select the choice model.
- Check EXPERIMENTAL DESIGN > Code some categorical attributes as numeric
- In the Attribute 1 field that appears, type in the exact name of the first numeric attribute and desired values to use, with commas in between. For example:
- Attribute name: Salary (compared to current)
- Attribute levels (in the order they appear in the value attributes):
- Your current salary
- Salary 5% higher
- Salary 10% higher
- Salary 15% higher
- Salary 20% higher
- What to type in: Salary (compared to current), 0, .5, 1, 1.5, 2
- For more information about which values to use, see Numeric versus Categorical Attributes in Choice Models in The Data Story Guide.
- Press CALCULATE to update the model.
See Also
How to Read Displayr's Choice Model Output
How to Remove Random Choosers from a Choice-Based Conjoint Model
How to Create an Experimental Design for Conjoint Analysis
How to Set Up a Choice-Based Conjoint Analysis in Qualtrics
How to Preview a Choice Model Questionnaire
How to Compare Discrete Choice Models
How to Create a Choice Model Utilities Plot
How to Save Utilities from a Choice Model
How to Save Class Membership from a Choice Model
How to Create a Choice Model Simulator
How to Create a Choice Model Optimizer
Comments
0 comments
Please sign in to leave a comment.