Rapid techniques Flashcards
What are the advantages of descriptive techniques?
Any product
Any characteristic
Precise sensory profile
Described differences
Small number of assessors required
What are the disadvantages of descriptive techniques?
Time and money
Assessors screened and trained
Don’t know if product is liked
Products cannot be compared
What are time intensity methods?
Using clocks and cursor to record intensity of an attribute
What are the 2 types of time intensity methods?
Dual-attribute time intensity
Multiple sampling time intensity
What are the advantages of time intensity methods?
Considers evolution of attributes
Further sampling discrimination
What are the disadvantages of time intensity methods?
Time consuming
No relationship between attributes
Data analysis on non-std curves
Requires training
What are the 3 temporal methods?
Time intensity
Temporal dominance of sensation (TDS)
Temporal check all that apply (TCATA)
What is TDS?
Records dominant attribute during consumption
What is TCATA?
Records presence of multiple attributes simultaneously
What are the 3 attribute based methods?
Free-choice profiling (FCP)
Flash profiling (FP)
Check-all-that-apply (CATA)
What is the method for FCP?
Non-trained consumers
Assessors generate own terms
Assessors rate attribute on intensity
Data analysis using GPA
What is GPA?
Generalised Procrustes Analysis
What does GPA do?
Multivariate technique
Creates perceptual map of products space
What is FP?
Attributes intensity ranked
Limited samples
Samples taken away to avoid halo effect
Uses GPA
What are the advantages of FCP and FP?
Quick and easy
What are the disadvantages of FCP and FP?
Scale use
Limited samples
Hard to describe sensations
What is CATA?
Assessors check each term relating to the sample (yes/no)
Attributes can be rated
Data summarised using contingency tables
What is napping?
Panellists use nappe to record differences
Similar products are near and different are far away
Products are labelled and attributes are given
Matrix is formed for mapping and data analysis