Hands on
Sensory Statistics Course
Singapore
Hal MacFie Training Services and Anne
Hasted of Qi Statistics with sponsorship from Sensory
Insight, announce a three days hands on training course
in Sensory Statistics.
Dates
April 28th-30th 2008
Venue
Knowledge Connection Pte Ltd
1 Maritime Square #10-33A/B, HarbourFront Centre, Singapore
099253
www. .kconnection.com.sg
A training course developed jointly by Hal Macfie &
Anne Hasted
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 a free copies of SENPAQ and XLSTAT
so they will be competent to start using their expertise
from day 1 after the course.
ABOUT THE LECTURER
Anne Hasted began
her career as an academic statistician at Reading University
but now runs Qi Statistics Ltd which offers statistical
training, data analysis and consultancy support to research
and industry and has developed both SENPAQ and Design
Express software packages. Anne has wide training and
consultancy experience in both sensory and consumer research
and has an international 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. Fixed, Random and Mixed model
effects, Graphical displays |
| |
Exercises using SENPAQ
and XLSTAT |
| |
|
| 12.30 - 13.30 |
Lunch |
| |
|
| 13.30 -14.30 |
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 |
| |
Exercises in SENPAQ |
| |
|
| |
Tea |
| |
|
| 15.00-16.30 |
Non Parametric Testing |
| |
How to analyse data in
the form of ranks-application of non parametric methods
when ANOVA fails |
| |
Exercises using XLSTAT
and SENPAQ |
| 16.30-17.30 |
Power and sensitivity
in Sensory testing |
| |
Statistical power, sample
size calculations. |
| |
Discrimination tests.
Thurstonian methods v guessing models. Designing trials
for claims testing. |
| |
|
| Evening |
Dinner hosted by Qi Statistics |
| |
|
April
29th 2008
|
| 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 |
| |
Exercises in XLSTAT |
| |
|
| 12.30 – 13.30 |
Lunch |
| |
|
| |
|
| 13.30-15.30 |
Multivariate methods
to assess Panel Performance and Flash profiling |
| |
Generalised Procrustes
Analysis (GPA) |
| |
Application to assess
panel performance data |
| |
Multiple Factor Analysis
and RV coefficient |
| |
Flash profiling: definition
and use |
| |
Analysis of Flash Profiling
by GPA |
| |
Exercises in XLSTAT and
GPA using XLSTAT MX |
| |
|
| |
Tea Break |
| |
|
| 16.00-17.30 |
Canonical Variates Analysis,
Discriminant analysis |
| |
Discriminant Analysis
(DA) |
| |
Canonical Variates Analysis
(CVA) |
| |
Graphical Displays, Confusion
matrices |
| |
Exercises in XLSTAT |
| |
|
| Evening |
Dinner hosted by Sensory
Insight |
| |
|
April
30th 2008
|
| 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 |
| |
|
| 11.00 - 12.30 |
Relating to instrumental
and consumer data 2 |
| |
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 PLS |
| |
|
| 12.30 – 13.30 |
Lunch |
| |
|
| 13.30-14.30 |
Shelf-life Testing |
| |
Design of shelf life
tests |
| |
Analysis by time point |
| |
Detection of trends |
| |
Survival analysis approaches |
| |
Exercises in XLSTAT |
| |
|
| 14.30 - 15.30 |
Revision exercises |
| |
Attendees will be given
a selection of data sets to test their skills |
| |
Worked solutions will
be given out. |
| |
Course evaluation |
| |
|
| 16.00 |
Close |
