Paired Comparison

Paired Comparison

Introduction

The paired comparison method is a handy method to use when dealing with products that have a lasting effect or are in short supply. Unlike other tests like the triangle or duo-trio, it works well when showing three samples at once isn't possible, making it practical for scarce products.
Panellists are presented with two samples and are required to identify which of the two has a greater intensity in a specific attribute.
This method uses four possible sequences (AA, BB, AB, BA), and these sequences should be mixed up for different panellists.

Template Description

The template starts with a screen giving instructions to panellists. In the design section, the first screen has instructions, followed by a question where panellists pick the more intense product in a specific attribute (e.g sweetness). After choosing, panellists can add comments.
In the end screen, the template incorporates a thank-you message, providing an opportunity for you to personalize a final message for the panellists. 
Within the design settings, you can examine how each panellist will receive the sample, with each set corresponding to a specific order of presentation for an individual panellist.
Within this template, Product 1 functions as the reference product, while Product 2 represents the new formulation (e.g., one with a reduced sucrose level). You have the flexibility to edit these fields by clicking on the Product section.

Raw Data Representation

The raw data will be displayed with each row corresponding to an individual judge and the pair of products they were presented with. The data will be stored to indicate which sample was selected by the panellist. The Q1_info column offers supplementary details regarding the sequence in which the products are presented to the panelists.

Analysis

Once data has been gathered, you can  access EyeOpenR and navigate to the Discrimination methods. Choose the Paired Comparison analysis to examine your results. Additional details about this analysis can be found in the following article: https://support.eyequestion.nl/portal/en/kb/articles/paired-comparison-analysis

References

  1. Lawless, H. T., & Heymann, H. (2010)

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