Maxdiff (Best-worst) and Conjoint Masterclass, Chicago, May 2020 – postponed

Product code: Maxdiff-US-2020

Chicago

May 12, 2020

  • 1 day face-to-face masterclass
  • Taught by Anne Hasted
  • Price includes all refreshments and lunch

Maxdiff (also known as Best/Worst Scaling) and Conjoint Analysis are techniques widely offered by market research companies. This workshop explains the different contexts where each technique is useful, considers aspects of design including sample size, consumer presentation issues and constraints.  The close link between conjoint analysis and statistical experimental design is emphasised together with the importance of identifying interactions. The modelling of data from these studies is illustrated using XLSTAT software.

For full workshop outline including a detailed list of topics, please view the course flyer (see below).

Workshop Outline

  • The different questions they answer – which to use
  • MAXDIFF for context, emotions, liking
  • How to design and analyse the study
  • Comparison with CATA and hedonic scoring
  • Types of study where conjoint is appropriate – products or concepts with several components or factors
  • Rating v Choice based conjoint
  • Aspects of designing the test set – importance of pre-guessing interactions
  • Modelling and analysis
  • Prediction of market share
  • Sample size recommendations

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Other course information

Discounts
We offer a 10% discount on registrations when two or more people from the same company register for the same course at the same time. We also offer a 10% discount for members of academia – please choose the appropriate option when purchasing.

Location
The course will run at a specialist training facility in Chicago. We will be running the workshop using XLSTAT MARKETING – computers will be provided with the software preloaded. The course price includes a folder of course material plus exercises with worked solutions.

Registration Policy
Registration is not final until payment is received. Unpaid spaces will be opened to new registrants 30 days ahead of courses. Virtual attendees must register and make payment at least 30 days before the start of the course to secure a virtual seat.

Payment
Payment can be made in GBP, EUR or USD. Please choose the appropriate currency when you checkout.

Refund policy
Cancellation of registration can be made up to 30 days ahead, and return of payments, minus reasonable administrative expenses, will be made for these cancellations. Cancellations within 15 to 30 days of the course start will receive a credit for a future course. Registrants who fail to attend or cancel less than 15 days prior to the seminar start date are responsible for the entire fee. Substitution of another person for the same course may be made at any time.

Course Cancellation
Qi Statistics Ltd retains the right to cancel the course 30 days before the start date if less than 4 delegates have registered by that date. Please do not book travel before this date.