Designed to give you the knowledge, practice and the tools to do your own design, analysis and interpretation of sensory data
Hands-on exercises, free XLSTAT and SENPAQ software for participants to take away
27 to 29 September 2017
For details and registration e-mail: email@example.com
This course forms a hands-on introduction to those statistical methods needed by a sensory scientist. Mainly based around the use of SENPAQ and XLSTAT software, attendees will gain practical experience using real-life examples and will be able to save their work to take away with free copies of SENPAQ and XLSTAT so they will be competent to start using their expertise from day 1 after the course.
It will also be possible to attend this course from the comfort of your home or office using the Virtual Training Room Facility.
ABOUT THE LECTURER
Anne Hasted began her career as an academic statistician at Reading University, leaving in 1989 to set up Qi Statistics Ltd offering statistical support to research and industry. She has over 25 years’ consultancy experience in the food, beverage and personal products industry, particularly in the area of product improvement and is an experienced trainer with a worldwide reputation for “user-friendly” training.
|09.00 - 12.30||Analysis of sensory descriptive data|
|Revision of QDA approach|
|Comparisons of two samples -Student t-tests, Analysing QDA data using analysis of variance|
|Testing for sample differences, least significant difference, multiple comparison tests, testing for interactions. Graphical displays.
Fixed, Random and Mixed model effects, Graphical displays.
|Exercises using SENPAQ and XLSTAT|
|12.30 - 13.30||Lunch|
|13.30 – 15.00||Panel Monitoring
Discrimination, Reproducibility, Measuring consistency -partitioning the interaction effects, assessor vs panel mean correlations . Understanding SENPAQ output.
Setting up a Traffic light system for performance monitoring
XLSTAT module on panel performance
Review of Panel check and EyeopenR
Exercises in SENPAQ and XLSTAT
|15.15 - 16.00||Power and Sensitivity in Sensory testing
Statistical Power, sample size calculations,
Discrimination tests, Thurstonian methods versus Guessing models, Power and sample size.
Exercises using Vpower
|16.00 - 17.30||Non Parametric Testing|
|How to analyse data in the form of ranks - applications of non parametric methods when ANOVA fails
Exercises using XLSTAT and SENPAQ
Course Outline Day 2
|09.00 - 10.30||Principal Components Analysis of QDA data|
|Covariance, Correlation, Interpreting Correlations using cosines|
|Geometric interpretation of Principal Components Analysis|
|PCA on Sensory data - covariance or correlation?|
|Methods to determine dimensionality|
|Effect of Outliers, Varimax rotation
|How is PCA different from Factor Analysis?|
|Exercises in SENPAQ/XLSTAT|
|11.00 - 12.30||Cluster Analysis, clustering of products and variables to select key sensory attributes|
|To standardise or not?|
|Agglomerative Hierarchical Classification (AHC)|
|Clustering Products and variables
Selecting key variables
|Exercises in XLSTAT|
|12.30 – 13.30||Lunch|
|13.30 - 14.30||Multivariate methods to assess Panel Performance and Flash profiling|
|Generalised Procrustes Analysis (GPA)|
|Free choice profiling flash profiling Repertory grid: definition and use and analysis
Significance testing in GPA
Exercises in XLSTAT and GPA using XLSTAT MX
|14.30 - 15.30||Multiple Factor Analysis|
|Theory and RV coefficients
Combining sensory and instrumental and liking data
|16.00 - 17.00||Canonical Variates Analysis, Discriminant analysis|
|Discriminant Analysis (DA)|
|Canonical Variates Analysis (CVA)|
|Graphical Displays, Confusion matrices|
|Exercises in XLSTAT
Comparing Sensory and Consumer discrimination
Course Outline Day 3
|09.00 - 10.30||Relating to instrumental and consumer data 1|
|Linear regression, Multiple regression|
|Modelling Curvature, Stepwise regression|
|Best modelling, Overfitting|
|Principal components regression|
|Exercises in XLSTAT|
|10.45 - 12.30||Relating sensory to instrumental and liking and emotions data|
|Partial Least Squares regression compared to PCA regression|
|Assessing dimensionality using Cross validation|
|Relating sensory to instrumental data|
|Relating Liking to sensory data|
|Exercises in XLSTAT PLS|
|12.30 – 13.30||Lunch|
|13.30 - 14.30||Sorting, Napping and Multidimensional Scaling|
|What is Mutidimensional Scaling
Analysing distance and similarity matrices
Napping – methods and analysis
Exercise using XLSTAT
|14.30-15.45|| Dealing with Check all that apply Data (CATA)
Testing differences between products
Multivariate Displays and Clustering
Location: MicroTek Training Facilities
180 Maiden Lane, New York 10038
MicroTek New York City is one of our first-class meeting and conference room facilities! This 20,000 square foot training facility is located in the Seaport District in lower Manhattan. Located along the East River, the Seaport District is a vibrant community with with convenient to shopping, restaurants and transportation. Our New York City meeting room venue is also conveniently located near our partner hotels – perfect for attendees who will be traveling. They can receive a discounted hotel rate as well as enjoy a five-star stay!
For details of location, nearby hotels Ggo to https://www.mclabs.com/attendee-information/
Joining a Virtual Training Room Event is Easy
SIGN UP FOR A VIRTUAL TRAINING CLASS TODAY!
We will send you a folder with all the class notes and exercises and you will be able to download the data sets. We will be able to watch you doing the exercises.
Virtual Training Room (This is an additional fee to the course fee which must be paid as well) $500
Fees reduced by 5% for members of academia - space limited.
Includes all lunches and a course dinner, course materials, attendees receive a free one year license for SENPAQ (the specialised Sensory Analysis program developed for the course).
It is possible for course attendees to convert to a permanent copy of XLSTAT SENSORY for a further payment of $500 recommended as the full price is $1300. This offer must be taken up within 6months of taking the course.
A free download of the difference testing program VPOWER will also be provided. We will also provide you with access to your own individual laptop computer for exercises.
Attendees may bring along their own PC laptops for the exercises and we will install copies of XLSTAT SENSORY and SENPAQ 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 firstname.lastname@example.org 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.
For electronic bank transfers: contact email@example.com for IBAN details
Mailing address for registration and payment:
Dr H J H MacFie
43 Manor Road
Keynsham, Nr Bristol,
BS31 1RB, United Kingdom
Electronic registration forms to Hal@halmacfie.com