DFC Scoring Analysis is designed to identify how your samples are performing.  You can then perform DFC/DoD Panel Performance over time.

SEE ALSO – Create a Scoring Analysis for additional details.



Sample Details



Input your samples as you typically would. The Identifier column will no longer serve as the key for Scoring Analysis and Panel Performance. 


The Report Name will serve as the Primary tracking method for Samples in Scoring Analysis and Panel Performance.  We have added a new field, Tracking Code, which will trump the Report Name within Scoring Analysis and Panel Performance. The Report Name will still be shown in the Topline data and downloads for the test.



Project Setup

  1. From the Location step, choose Self Check-in or Assisted Check-in.


  2. From the Participants step, select a Panel (if you plan on monitoring Panel Performance over time). Here we have selected our "DFC" Panel.



  3. From the Questionnaires step, use a Single Sample Questionnaire and add your questions.


    The Reporting Name is used for two purposes:
       1) Evaluating several attributes - Overall, Sweetness, Saltiness, etc., and
       2) Group Questions across tests for monitoring Panel Performance over multiple tests.


    The Reporting Type for the DFC question(s) must be set to Interval.



Analyses

  1. From the test's Analyses section, click on [+ADD ANALYSIS].



  2. From the Analysis Type drop-down menu, select Scoring.

    From the For Questionnaire drop-down menu, select the questionnaire to perform the analysis on.



  3. From the Scoring Analysis that was created, click the settings cog in the upper-right hand corner (below your email address).



  4. Change the Score Threshold Mode to Min Max. Set the Min and Max values for the Samples that have an expected Min Max and add a Tracking Code, if necessary. Only attributes and samples with Min Max values set will be included in the calculations.

    In the example screenshot above:

    • Blind Control is only correct if given a 0 or 1,
    • Spike Sample is correct only if scored a 4, 5, or 6.
    • Line A Sample does not have a Min/Max because it is a line sample and is being tested.



  5. In the plot below, you can see that Hector and Mavis both correctly identified Blind Control.




  6. In the plot below, you can see that Hector correctly identified Spike Sample, while Mavis did not.




  7. See DFC Panel Performance.