How Can I Set Up, Run, and Analyze a Best Worst / Max Diff Test

How Can I Set Up, Run, and Analyze a Best Worst / Max Diff Test

Introduction

Best Worst scaling is an approach for obtaining preference/importance scores for multiple items, such as brand preferences, brand images, product features, advertising claims, etc. 
Best Worst scaling is also known as Max Diff.

Setting up your questionnaire

1. Insert a Maxdiff/Best-Worst question, you can find this question in folder 3. Multi sample questions > Maxdiff/Best-Worst Scale.
  
2. After inserting the question in your questionnaire you can change the display values of the question items. These are the names of the columns in the question type.


NOTE: Do not change the values of these columns. the values need to be 1, 0, and -1. if you change them, your data cannot be analyzed using the best worst analysis in EyeOpenR.

3. The statements in the question types refer to the products in your design. To change the number of statements generate a new design or import a design. If you want to generate a design you can generate a balanced design (to show all statements) or a balanced incomplete design (to show only a selection to each assessor). Make sure the setting Multi Product is set to N Combination(s).


4. Change the statements by changing the product descriptions.




Analyze your data

After you have collected your data you can analyze the results in EyeOpenR. To do so open your project, go to the export page and choose EyeOpenR.
The Best Worst Scale analysis is included in the consumer method.
    • Related Articles

    • Best Worst/Max Diff

      Introduction Best Worst/Max Diff method involve in providing panellist a list of different statement which they have to chose which is the most and the least preferred. Best Worst/Max Diff can be used for multiple items, such as brand preferences, ...
    • Best Worst Scaling

      Purpose To provide analysis of data from a Best Worst Scaling (aka Max-Diff) study. Best Worst Scaling (BWS) presents a subset of items from a longer list to a consumer, who must then select the best and worst item amongst the subset. The process can ...
    • How Can I Analyse My Data?

      In EyeQuestion there are multiple options to analyze the project data. When you select the Data tab in your project you will find a dropdown menu Analysis: Auto Reports Via the option for Auto reports EyeQuestion will analyze the data and create the ...
    • Different From Control Test Analysis

      Purpose To analyse the results of a different from control test. Data Format Different from control.xlsx Attribute data type is ‘category’. Background Different from control tests can determine: If a difference exists between a product vs. reference. ...
    • Cochran and McNemar test (CATA)

      Purpose Cochran and McNemar tests are used to test for differences between products when the data has been collected through a ‘Check All That Apply’ (CATA) design. Using a CATA method for sensory research means that the responses collected are ...