Standard Report: Single Triangle Test Results

Standard Report: Single Triangle Test Results

Overview

The Standard Report for Single Triangle test data can provide a Difference Test and a Similarity Test. The Difference Test will provide a count of Correct and Incorrect responses as well as a statement of significance. The Similarity Test will provide a count of Correct responses as well as a statement on whether or not your samples are Similar or Not Similar.  If a Triangle related comment question was asked you will also see a list of comments for Correct and Incorrect responses.

Generate the Report

There are four steps in the Create report area:

1. Select report type : Select Standard Report.

2. Select options : In the Discrimination analysis select to run a Difference test and/or Similarity test. The Alpha and Beta levels can be changed. Analysis is based on the Binomial distribution.

3. Select questions : Select which questions you wish to include in the report.

4. Select export type : Choose the export type that best suits your reporting needs.

Test Details


  1. Test Name : The name you specified during the test setup in the Overview tab.

  2. Number of Evaluations : The number of evaluations in the test. This will include Complete and Partial Results. Use the Filters feature to control what is included in analysis.

  3. Test Completion Date : The date when your test was set to Complete in the Run test tab.


Samples Table


This table provides a summary of all your sample information as specified during the test setup in the Overview tab.


Difference Test



This table provides the results of the Difference Test.
  1. Chance : The probability of panelists correctly selecting the odd sample by chance.

  2. Number of Evaluations (N) : The number of evaluations in the test. This will include Complete and Partial Results.

  3. Correct/Incorrect Count : The count of Correct and Incorrect Responses.

  4. d' : The measure of the extent of the overlap of panelist perception. It is the distance between the means of the two distributions in terms of their standard deviation. The larger the d' value, the larger the difference between products.

  5. p-value : The probability of obtaining the observed test statistic or one that is more extreme under the null hypothesis.

  6. Decision of Significance : A statement of whether or not the samples are significantly different based on the Alpha selected when creating the Report.


Similarity Test



This table provides the results of the Similarity Test. 
  1. Number of Evaluations (N) : The number of evaluations in the test. This will include Complete and Partial Results.

  2. Correct : The count of Correct responses.

  3. Responses Required : The number of correct responses required to reach a conclusion of Not Similar.

  4. Conclusion : A statement of Similar or Not Similar. Samples are Similar when the number of correct responses is smaller than the responses required. Samples are Not Similar when the number of responses is equal to or greater than the responses required.

  5. Pc (estimate) : Proportion correct.

  6. Pd (estimate) : Proportion of distinguishers.

  7. Std error (Pd) : Standard error of the estimate of the proportion of (momentary) discriminators.

  8. Pmin, Lower confidence limit ( =0.1) : Formula: Pmin = Pd + Zalpha * Std error (Pd). The default Alpha value is 0.10, this value can be changed when creating the Report.

  9. Pmax, Upper confidence limit (=0.1) : Formula: Pmax=Pd + Zbeta * Std error (Pd). The default Beta value is 0.10, this value can be changed when creating the Report.

Comment 



If your Triangle test includes a Triangle related comment question, panelists' comments will appear in one of two tables; Correct response related comments or Incorrect response related comments.

  1. Sample Number : The sample the panelist selected.

  2. SS# : The sample set number used to identify the panelist.

  3. Result : The panelist's comment.



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