ISO 11056:2021
Sensory analysis — Methodology — Magnitude estimation method
This document specifies a method for applying magnitude estimation to the evaluation of sensory attributes. The methodology specified covers the training of assessors, and obtaining magnitude estimations as well as their statistical interpretation.
Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Principle
5 General test conditions
6 Selection and training of assessors
6.1 General conditions for selection and training
6.2 Training specific to the magnitude estimation method
7 Number of assessors
7.1 General
7.2 Analytical and research panels
7.3 Consumer panels
8 Procedure
8.1 Presentation of samples
8.2 External reference sample
8.3 Order of presentation of samples
8.4 Magnitude estimations
8.4.1 General
8.4.2 Without fixed modulus for the external reference
8.4.3 With fixed modulus for the external reference
8.4.4 Without external reference
9 Analysis of data
9.1 Choice of data analysis method
9.2 Presentation of raw results
9.3 Establishment of product differences
9.4 Regression
9.5 Rescaling methods
9.5.1 Total rescaling
9.5.2 Rescaling in relation to the reference sample
9.5.3 External rescaling
10 Test report
Annex A (informative) Questionnaire models
Annex B (informative) Examples of data analysis
Bibliography
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Foreword
Introduction
1 Scope
2 Normative references
3 Terms and definitions
4 Principle
5 General test conditions
6 Selection and training of assessors
6.1 General conditions for selection and training
6.2 Training specific to the magnitude estimation method
7 Number of assessors
7.1 General
7.2 Analytical and research panels
7.3 Consumer panels
8 Procedure
8.1 Presentation of samples
8.2 External reference sample
8.3 Order of presentation of samples
8.4 Magnitude estimations
8.4.1 General
8.4.2 Without fixed modulus for the external reference
8.4.3 With fixed modulus for the external reference
8.4.4 Without external reference
9 Analysis of data
9.1 Choice of data analysis method
9.2 Presentation of raw results
9.3 Establishment of product differences
9.4 Regression
9.5 Rescaling methods
9.5.1 Total rescaling
9.5.2 Rescaling in relation to the reference sample
9.5.3 External rescaling
10 Test report
Annex A (informative) Questionnaire models
Annex B (informative) Examples of data analysis
Bibliography