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Two-Out-of-Five

 
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PostPosted: Thu Mar 22, 2012 9:05 am    Post subject: Two-Out-of-Five Reply with quote



Two-Out-of-Five


Two-Out-of-Five Test is a discrimination test presenting 5 products to the judge among which 2 are from one group and 3 are from another group. 2A 3B. Judges are asked to group the products into 2 groups usually based on similarity. Also known as a 2 Among 5 test, this test is used less often than the Triangle Test, Duo-Trio Test, or the paired-comparison tests.

Similar to a Two-Out-of-Four, aka Tetrad Test, a discrimination test presenting 4 products to the judge among which 2 are from one group and 2 are from another group. 2A 2B. See our webpage:
http://www.sims2000.com/Questionnaire-Tetrad.asp




Questionnaire Example: 2 of 5 example, Tetrad same but with 4 samples. The sample's order will appear randomized.
Experimental Design:
    Because this test is a little different than a typical discrimination test, the experimental design will also be a little different in setup. The ballot question as shown actually takes care of the division of the independent samples. Therefore setup a 1C1R1 experimental design, a one sample design. Run the test.


Pros & cons:
    Statistically robust, since the chances of guessing the 2/5 samples correctly is 1/10, rather than 1/3 as in the Triangle Test. Fewer panelists are often needed due to this boost in power – as few as 5 or 6 panelists can be used when expected differences are large enough. But not a good choice when carry-over and lingering aftertastes is an issue due to the high number of samples that need to be tasted.


Raw Data:

Stats: Two-Out-of-Five Test
    In the partial chart below 'n' signifies the number of assessments in the test, and .1/.05 represents the a-risk, match the a-risk you want with the number of assessments you have performed to find the minimum number of correct responses needed to show significance. For example, for 20 assessments at an a-risk of 0.05, you’d need 5 or more correct responses to show a significant difference.
    Code:
              alpha
         n  0.1 0.05    n  0.1 0.05    n  0.1 0.05    n  0.1 0.05
         3   2   2      10  3   4      17  4   5      24  5   6
         4   2   3      11  3   4      18  4   5      25  5   6
         5   2   3      12  4   4      19  5   5      30  6   7
         6   3   3      13  4   4      20  5   5      60  10  11
         7   3   3      14  4   4      21  5   6     
         8   3   3      15  4   5      22  5   6     
         9   3   4      16  4   5      23  5   6
    See complete statistical Table 17.14 Critical Number of Correct Responses in Two-out-of-Five Test,
    Sensory Evaluation Techniques, 4th Edition, by Meilgaard, Civille, and Carr, page 439.




References:
Sensory Evaluation Techniques, Civille, 4th Ed. pg 80

More information:
http://www.sensorysociety.org/ssp/wiki/Two-out-of-five_Test/




Last edited by ForumAdmin on Thu Oct 02, 2014 12:42 pm; edited 11 times in total
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PostPosted: Thu Jan 16, 2014 6:24 pm    Post subject: Profiling Reply with quote



Example using Profiling in SIMS.

NOTE: This profile style is less used then the ABOVE Hedonics shown in previous post above.
Use the Tetrad Examples in above post.



Questionnaire Example:

Profile Ballot Setup Example:




Profile style allows for unique blinding codes for all panelists, if that is an absolute requirement.


Experimental Design:
    Setup a 4C4R1 experimental design, a four sample design.

    [X] Enable Profiling.

    This design gives you more control over to customize the presentation order of the samples. A permutations plan is randomized.


Run the test, then use the SIMS software frequency reports to pull your data.


Raw Data:
    Use Data Export to Excel to count your Correct & Incorrect panelist responses. Use the same XLS file shown previous post above and transfer the reponses acccordingly.


Stats: Same as above. Tetrad, Two-Out-of-Four Test
    See complete statistical Table 17.8 Critical Number of Correct Responses in Triangle Test,
    Sensory Evaluation Techniques, 4th Edition, by Meilgaard, Civille, and Carr, page 433.




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