Generalized Procrustes Analysis

MDSS6

Duration : 1.0 day(s)

:: Course Summary

This course covers Generalized Procrustes Analysis (GPA), a powerful multivariate technique developped in psychometrics and used extensively in sensory evaluation to:

Summarize large sets of 3-dimensional data (objects, characteristics and assessors)

Identify structure and trends in the data

Identify agreement between assessors and correlation in the data

Produce graphical displays of the results

:: Learning Objectives

Upon completion of the course, participants will have learned:

In what context Generalized Procrustes Analysis should be used

What exploratory analysis should be performed on the data (Box-plots, descriptive statistics)

How to manipulate the dataset into the required format

How to read and interpret numeric and graphical software output

How to interpret and report the results of the Procrustes analysis

:: Target Audience

This applied training session in statistics is intended for all scientific staff who collect large datasets and who wish to graphically summarizing them as well as assess agreement between assessors.

:: Prerequisite

Participants must have attended Principal Component Analysis and its Applications or have working knowledge of this multivariate technique.

:: Notes and Other Information

Each participant will receive a copy of an XLStat, SAS or S-Plus program, developped by Creascience, to run Generalized Procrustes Analysis
If you are interested in:
- acquiring or furthering your skills in multivariate data analysis methods
- putting the theory of multivariate analysis to practice with a wide array of case studies
- and doing so with your very own software of choice
then our our summer school on multivariate data analysis is what you are looking for! T
All our training sessions are available on-site
Contact us to learn more

:: Topics Covered

Purpose of GPA
Principles of GPA
Indicators Provided by GPA and their Interpretation
- PANOVA (Procrustes Analysis of Variance)
- Scaling Factors
- Residual Values for Assessors and Objects
Consensus Configuration
- Percentage of Variance Explained by the Consensus Configuration
- Variance Explained by Each Component and Assessor
- Scores of the Initial Variables on the Consensus
- Coordinates of the Objects on the Consensus Graph
Case Studies
Software to Run GPA
Handling Missing Data
Application to Real-Life Data

:: Course Content

Generalized Procrustes Analysis (GPA) is a multivariate technique commonly used in sensory evaluation to analyze free-choice profiling data. Under this type of sensory profiling, each assessor or judge describes a product’s characteristics using his or her own list of sensory attributes.
This multivariate method is also highly useful in studying the consensus among judges in classic sensory analysis and in assessing scale use, attribute interpretation, panel performance, monitoring, etc. Finally, GPA is also used in market research to assess the similarity between terms used by sensory experts to describe products.
This training focuses on the comprehension of the results obtained after running a GPA to help participants gain autonomy in interpreting software output. Examples and case studies will be presented to ensure the concrete application of the concepts discussed.
The principles of GPA will also be outlined so that participants understand the underlying hypotheses involved when performing the analysis.

Upcoming Public Sessions

No public sessions for this training has been planned yet. If you are interested in attending one, please let us know with your prefered training location: Contact us

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Efficient Design & Analysis of Shelf-Life & Stability Studies

The course was excellent and well presented. It provided me with the basic knowledge neces ..

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