A full-day course, run at the MRS offices in central London. This course is designed for quantitative researchers and focuses on how to manage, design, implement, interpret, and present a wide range of conjoint analysis projects, including variants such as DCM (Discrete Choice Modelling) and MaxDiff scaling.
Click here to find out more or book a place via the MRS website.
Learning outcomes
Topics covered during the day include:
- Firm grounding in the theory and nomenclature of conjoint and DCM
- Practical advice in what conjoint can and can’t do, when to use it and when not
- Conventional conjoint analysis (from full profile to adaptive conjoint), designing, data collection, and processing
- Discrete choice modelling, from aggregate models, to latent class, to Hierarchical Bayes
- Adaptive choice modelling, the latest trend in choice
- Online and offline options for data collection, especially relevant for global studies
- Turning results into insights, and presenting the results in a meaningful and useful way
Who will benefit?
The course is targeted at researchers who are already familiar with a range of quantitative techniques (such as factor analysis, cluster analysis, and regression) and who have some familiarity or exposure to conjoint analysis.