Event Phone: 1-610-715-0115

Cancellation Policy: If you cancel your registration at least two weeks before the course is scheduled to begin, you are entitled to a full refund (minus a processing fee of $50).

In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

A 3-Day Livestream Seminar Taught by Jens Hainmueller, Ph.D.

Conjoint analysis is a powerful tool for understanding multidimensional preferences, often used in market research, product development, and policy analysis. It allows researchers to dissect the preferences of individuals and determine the relative importance of different attributes when making decisions. Recent years have seen an increased use of conjoint analysis in the social sciences, thanks to the increasing ease of implementing survey experiments via online surveys.

This course offers a comprehensive journey through the entire process of designing, implementing, analyzing, and presenting results from a conjoint experiment. You will gain practical skills and theoretical understanding necessary to conduct your own conjoint studies effectively.

Throughout the course, you will engage in hands-on activities, including designing mock conjoint experiments, implementing surveys, analyzing simulated data, and creating visualizations. Real-world examples and case studies will be used to illustrate concepts and facilitate learning.

The course commences with an introduction to conjoint analysis, providing insights into its practical applications and emphasizing the significance of comprehending multidimensional preferences.

Subsequently, we delve into the fundamental principles of designing conjoint experiments, scrutinizing various design choices such as the selection of features, profiles, choice tasks, outcome measures, and randomization schemes. We will assess the merits and drawbacks of different options and acquire the skills to effectively design a conjoint experiment.

The focus then shifts towards the implementation phase, where you gain proficiency in programming conjoint surveys. You will be guided through the intricacies of survey interface design, mastering techniques for incorporating feature randomization, and internalizing best practices for collecting data.

We then turn to methods for analyzing conjoint data. You will navigate through core statistical methods, encompassing the estimation of average marginal component effects, the discernment of conditional effects based on respondent and profile characteristics, and marginal mean estimates. Additionally, insights into interpreting results and their implications for decision-making will be imparted. Lastly, you will be equipped with effective visualization techniques to convey findings to stakeholders.

By the end of the course, you will be equipped with the skills and knowledge to independently run your own conjoint experiments. You will understand the intricacies of experimental design, survey implementation, data analysis, and result visualization, enabling you to make informed decisions based on multidimensional preferences.