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.

Analysis of Central Location Trials.
Tabulation and Presentation of scores and demographics data.
Hands on exercises in Excel.
Analysis of Variance, one and two way,  Presentation of results, Bar charts, Use of Least Significant Differences. Multiple Comparison tests,
Hands on Exercises in XLSTAT

Penalty analysis
Assessing the impact of non optimal JAR scores on liking. Hands on Exercises in XLSTAT-MX

Designing Central Location trials:
Warm up, selection of samples, balanced designs and numbers of respondents
Hands on exercises using DESIGN EXPRESS and free QI statistics Excel spread sheet
Analysis of incomplete designs. Exercises in XLSTAT

Analysis of Frequency Data
Comparisons of products using   JAR and other limited scale data Analysis of paired preference data and CATA (check all that apply) data.
TURF analysis 
Hands on exercises using Turf Calculator and XLSTAT

Day 2

Segmentation Strategies.
Using Cluster Analysis to identify consumer segments.
Hierarchical versus Non-hierarchical methods
Hands on Exercises using XLSTAT
Latent Class clustering – an overview of its approach and possible advantages.
Evaluating the cluster solution –cluster discrimination, investigating relationships with demographics.

Data Mapping and Brand Positioning
Principal Components Analysis – definition, graphical explanation, scaling, score plots and loadings plots.
Internal preference mapping and cluster visualisation
Brand – attribute mapping
Hands on exercises using XLSTAT

Day 3

Relating Consumer and Sensory Data
Linear and quadratic regression (Simple preference mapping)
Building simple regression models to relate liking to sensory data, linear, quadratic models.
Modelling with multivariate sensory data using PCA, vector and ideal point models
Exercises using XLSTAT  External Preference Mapping.
External preference mapping using XLSTAT-MX. . Using the software to select the correct model for each segment.

 NEW! Crossover Preference Mapping
Hands on exercises using XLSTAT Prefmap module.

Advanced Preference Mapping
What sensory properties will the desired product have?
Hands on exercise using XLSTAT            

External preference mapping using alternative data sets: CATA data, Rep Grid data, Sorting, Napping data
Multiple factor analysis in Preference Mapping

External preference mapping using alternative data sets: CATA data, Rep Grid data
Optimisation in 5 dimensions using Design EXPERT

New Ideas
Kano strategies to lift good products to great!