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New tool for conducting conjoint analysis

20 February 2017

It is great to announce that we are now collaborating with a new service called Conjoint.ly. Conjoint.ly is a platform for discrete choice experimentation: from experimental design, to data collection, to analysis with outputs covering simple partworth utilities to Hierarchical Bayes matrices. While Conjoint.ly is primarily targeted at marketing researchers, methodology is extendible to healthcare, environmental science, and other disciplines.

Screenshot of the Conjoint.ly interface

Screenshot of the Conjoint.ly interface

The best part is that Conjoint.ly is free for academic researchers, instructors, and students.

So go check their service out and be sure to keep an eye on the Resources section on the Researcher Support page for more handy tools.

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