Just About Right (JAR) and Penalty Analysis
The use of Just-about-right (JAR) scales in consumer research the assessment of product attributes to determine if they are perceived as too high, too low, or "just about right." The information gathered through JAR scales aids in identifying opportunities for product improvement and guides potential formulation changes in the desired direction.
The information from JAR and hedonic scales can be merged to offer further guidance on adjusting or improving a product. One common method for interpreting the data is through Penalty Analysis.
This article provides detailed information on constructing a questionnaire for conducting penalty analysis using EyeQuestion.
Build a survey using JAR and hedonic scales
JAR Scales
When building your questionnaire, go within the Design Section, click "Add Screen" and then "Add Question" within your screen.
When clicking Add Question you can select a 5-points JAR question type in the General Question folder. The scale is a bipolar scale where negative scores are indicated as -1 and -2 while positive scores are 1 and 2. The JAR value is equal to 0.
Within the Predefined Questions folder, you can find other predefined 5-JAR scales with instruction for evaluating specific attributes.
Within this question type you can modify specific setting such as transforming the scale from 5-points to 7-point. To do so, you can follow these instructions:
- Add two extra answer options to the JAR question you are building.
- Change the value of the newly created answer option from 6 and 7 to -3 and 3 respectively.
- Move the answer option with value -3 on top of the answer options list.
- Add the specific text that should be linked to the new answer options.
If you are planning to perform the Penalty analysis, make sure that within the Analysis settings of your JAR question the Data Type selected is "JAR".
Hedonic Scales
To add an hedonic question you can click again "Add Question" in the position of the questionnaire where you want this question to be asked.
Within the Predefined Questions folder, you can find predefined liking question type with different points. You are free also to build your own liking scale using either the category or the line question type.
Penalty Analysis
After data has been collected, you can run a Penalty Analysis on your JAR and hedonic data collected using EyeOpenR.
To do so, open EyeOpenR from your project with the data collected and select "Consumer Methods".
Within the Analysis settings select "Penalty Analysis JAR".
Before running the analysis you will be asked to select as mandatory information which Liking variable should be considered for the analysis.
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