Dr Hal MacFie

Consultant in Sensory & Consumer Science

Hal MacFie Training Services
Company Registration No: 7864651
Company Address: 43 Manor Road
Keynsham, Bristol BS31 1RB, UK
Contact Tel: (44) 0117 9863590

About Us!

Hands on Sensory Statistics Course

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.

Hal MacFie and Anne Hasted

March 26 to 28 2018
42, rue Legendre 75017 Par

Course Organiser
Hal MacFie
For details and registration e-mail:

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.


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 University and European Editor of Food Quality and Preference.

Anne Hasted began her career as an academic statistician at Reading University, leaving in 1989 to set up Qi Statistics Ltd offering statistical training and consultancy support to research and industry. She has wide training and consultancy experience in the food industry, particularly in the area of product improvement.

Course Outline Day 1  

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.
MAM analysis
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.
Similarity Testing, A not A testing
Exercises using VPOWER software
16.00 - 17.30 Non Parametric Testing for ranked data How to analyse data in the form of ranks
Exercises using XLSTAT
How to analyse data in the form of ranks - applications of non parametric methods when ANOVA fails
Exercises using XLSTAT
19.30 Course Dinner

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
Coffee Break
11.00 - 12.30

Cluster Analysis, clustering of products and variables to select key sensory attributes
Similarity/dissimilarity measures
To standardise or not?
Agglomerative Hierarchical Classification (AHC)

Aggregation criteria
Clustering Products and variables
Selecting key variables
Exercises in XLSTAT
12.30 – 13.30 Lunch
13.30 - 14.30 Multiple Factor Analysis
Theory and RV coefficients
Combining sensory and instrumental and liking data
Tea Break
14.30 - 15.30 Canonical Variates Analysis, Discriminant analysis
Discriminant Analysis (DA)
Canonical Variates Analysis (CVA)
Graphical Displays, Confusion matrices
Exercises in XLSTAT
16.00 - 17.00 Multidimensional Scaling and Sorting
What is MDS
Analysing distance and similarity matrices
Sorting trials.
Exercise using XLSTAT

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
Coffee Break
10.45 - 12.30 Relating sensory to instrumental and liking and emotions data
Partial Least Squares regression compared to PCA regression
Geometric interpretation
Assessing dimensionality using Cross validation
Relating sensory to instrumental data
Relating Liking to sensory data
Exercises in XLSTAT
12.30 – 13.30 Lunch
13.30 - 15.30 Temporal measurement and Repeated measures
Repeated measures – analysis of variance and three way PCA and PLS
  From Time Intensity to Dominance and TCATA
16.00 Close


We are again using the Purpose Built Multimedia Computer Training Facilities of MediasiteParis:

MEDIASITE 42, rue Legendre 75017 Paris


We like this facility:

***Laptop computer provided

***Internet connection

***Air conditioning


Hotel Accommodation nearby

Mediasite have a web page devoted to hotels:
The hotels below have a special reductions for Mediasite customers so mention when you book.
We usually stay about 1 minute’s walk away at
18 rue Claude Pouillet - 75017 Paris
Tél : + - Fax : +
Web : - Email :

165, rue de Rome, 75017, Paris
Tél. : +33 1 56 79 29 29 - Fax.: +33 156792920
Web : - E-mail

150 metres from Mediasite. This new boutique hotel as 29 rooms.
 64 rue de Levis - 75017 Paris
Tél. : +33 1 42 27 33 10
Web - E-mail :

Yes: Please enrol me in Hands on Sensory Statistics Course 26 to 28 March 2018

Registration fees:
Include 3 lunches, and one course dinner, course materials     €2300
Attendees receive a free one year license to the XLSTAT SENSORY module and a permanent copy of SENPAQ (the specialised Sensory Analysis program developed for the course).The combined value of this software will be €945.

(It is possible for course attendees to convert to a permanent copy of XLSTAT SENSORY for a further payment of €700 – recommended as the full price is €1695).

Equally if you do not want the XLSTAT licenses we can reduce the course fees by €200.  We will also provide you with access to your own individual laptop computer for exercises.

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 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 5% 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 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.


Course Registration Fees



Number of Places

Course Fee


Permanent copy of XLSTAT SENSORY €700

Course Fee without XLSTAT licenses €2100

Total: €

    Payments and Refund Policy    

For electronic bank transfers: contact for IBAN details
Mailing address for registration and payment:
Dr H J H MacFie
43 Manor Road
Keynsham, Nr Bristol,
BS31 1RB, United Kingdom

Tel/Fax +44(0)1179863590

Electronic registration forms to