Recommended test procedure: The ‘tetrad’ test

So far, we’ve talked about what you can do with a general discrimination test. In fact, there are many specific discrimination tests, all of which involve testing a similar, basic question:

When samples are presented without identifying information, can panelists identify which sample or samples are different?

Notice that we write “panelists” above: a key principle of sensory testing is that no one person, no matter how well-trained or expert, is accurate all the time or for every product. Therefore, we use a group of subjects to conduct a sensory test, and we use statistics to determine the strength of the results we observed–to update our understanding of the differences (or not!) between the products. This helps avoid drawing wrong conclusions just because someone had an off day or got very lucky.

Presentation of samples for a water-quality triangle test. This picture presents a key cautionary example: don’t give your panelists extra clues about the different sample: here “183” is obviously different1.

General procedure for conducting a discrimination test

In general, a discrimination test requires the following:

  • Definition of the test objective: what difference are you trying to quantify? Ask yourself how sure you are that a difference between the samples will be found. Examining our prior beliefs helps us calibrate the test.
  • Sample preparation: anonymize samples and prepare to present them in a consistent fashion
  • Panelist recruitment: typically we need at least 20 subjects to participate, and more than 40 is preferred. In addition, it is usually a good idea to have panelists who do not all work in the winery or cidery–experience leads to expertise with the product.
  • The test(!): present the samples in the appropriate fashion (see below for a specific, recommended method), which will involve “anonymizing” samples (masking their identity in a way you can keep track of), and collecting responses in a “ballot”.
  • Analyze the data: use appropriate statistics (or a toolkit like this one!) to determine what the combination of your prior hypothesis and your observed data tells you about the actual range of possible difference between the two samples.
  • Make interpretations: based on the observed results and subsequent statistical output (which typically gives a range of compatible true probabilities of discrimination), determine the risk of accepting that the samples are or are not different.

Summary

On this page, you learned how to set up and conduct a tetrad test. The key element here is the instructions for setting up and collecting the important data you’ll need for the next page: the number of subjects, the number of subjects who got the right answer, and your prior hypotheses.

Review this page and, when you’re ready, conduct your test. Then, go to the next page to analyze your results.

Footnotes

  1. Notice the different colors of ink!↩︎