Three one-day workshops designed to give you the knowledge practice and tools to analyse consumer test data and to optimise the sensory properties of foods, beverages, personal products.
For details and registration e-mail: firstname.lastname@example.org
ABOUT THE LECTURERS
Dr. Hal MacFie is a statistician by training, with an international reputation in the areas of product assessment and consumer research. Author of over 100 scientific publications and three books, he was Head of Consumer Science at the Institute of Food Research, Reading England, before becoming Director of the Institute. Dr. MacFie is now an independent consultant, Visiting Professor at Reading and Nottingham Universities and European Editor of Food Quality and Preference.
Anne Hasted began her career as an academic statistician at Reading University, but now runs Qi Statistics Ltd offering statistical training, software and consultancy support to research and industry. She has wide training and consultancy experience in both sensory and consumer research and has an international reputation for “user friendly” training.
Day 1 Exploratory and Modelling methods for Consumer Research
Designed to take you through the key methods that we use in consumer science and explain how they work and how they are applied to consumer data. Emphasis is given to the practical decision making that is made after each analysis. Participants will apply the methods to real life data using XLSTAT routines and will be guided by the written solutions that are a unique feature of Hal MacFie Training. These solutions give you the possibility to pick up the notes after 6 months or a year and remind yourself how a technique works and then apply it to your own data.
Deliverables: Analysis of variance one two and three way applied to sensory and consumer data. Theory, application and analysis experience in Principal Components (with rotation), Correspondence Analysis, Quadratic regression and inspection of response surfaces and the XLSTAT PREFMAP module applied to a single liking variable.
Deliverables: AHC, KMEANS and Latent Class Segmentation. Cluster Diagnostics and stability testing. Demographic and Psychographic analyses
Preference Mapping: The workings of the XLSTAT Preference Mapping module will be described, and its application to overall means, segment means and individual scores demonstrated. Product prototype selection and reverse regression to predict the sensory properties of a prototype will be followed by a new section exploring how to integrate the open- ended question responses into the decision making process.. In some categories Preference Mapping on consumer measures are gradually replacing sensory panel scores and a short section will exemplify this approach. Finally an assessment of the role and validity of internal, external and probabilistic models in this application will be discussed
Deliverables: External Preference mapping, Reverse Regression, Using open ended comments, Optimising product portfolios across segments and markets. Comparing internal and external models.
This section is designed for the very important class of trials that collect CLT or Home Use test on 1 to 3 samples. Preference mapping models are not possible with these trials but there are many techniques that are well suited to product optimisation and can be applied to a single product trial.
Deliverables:Penalty analysis, Ideal Point Profiling, Kano Analysis using CATA data
Concept optimisation and Product matching. Many concept trials ask multiple questions including sensory about one or more concepts. How can we examine segmentation in the response to a single concept? Which concepts do we select for further development?
Deliverables: Factor Analysis and Segmentation on question batteries.
Typically consumer scientists are asked to supply a product that not only matches sensory expectations but enhances the emotional response and reinforces the Brand. We describe PLS on Fit to Concept measures and the use of Multiple Factor Analysis to handle sensory expectation trials. Brand conceptualisations including sensory, emotion and function can be investigated using CATA and Best-worst measures. MAXDIFF scales for prototypes and concept enable the best matching product to be selected.
Deliverables: Partial least Squares, Fit to Concept, Sensory expectation trials, Multiple factor Analysis, Best-Worst, MAXDIFF scales, Concept to product matching.
Based around the use of XLSTAT, attendees will gain practical experience using real-life examples and will be able to save their work to take away, so they will be competent to start using their expertise from day 1 after the course. (There is an option to purchase XLSTAT -Sensory at a discounted price.)
Day 1 Exploratory and Analytical methods for Consumer Science
About the Course Venue:
To be Announced
COURSE REGISTRATION FORM
Yes: Please enrol me in Hands on Consumer Driven Product Optimization Course 10 - 12 October 2018
|Attendees will receive a free 1 year license to XLSTAT|
|Convert to permanent copy XLSTAT SENSORY (€1695)||€700|
|Includes three lunches and one dinner, course materials,|
|Fees reduced by 5% for members of academia - space limited.|
|Attendees may bring along their own PC laptops for the exercises and we will install a free copy of XLSTAT software on your computer. (We do not guarantee to load XLSTAT if you have an unusual software configuration.)|
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.
Registration Policy: Registration is not final until payment is received. Unpaid spaces will be opened to new registrants 30 days ahead of courses.
Payment: Payment may be made in US dollars, Euros or GB pounds via the Worldpay Gateway or into Currency accounts. Contact email@example.com for routing and IBAN details of the currency account you require.
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.
Electronic registration forms to Hal@halmacfie.com