Dimension and Weight Settings

SurveyMars supports setting dimensions for 360-degree evaluation questionnaires and adding questions to each dimension. By categorizing questions into dimensions and setting weights, you can clearly display scores for different dimensions. In the evaluation report, you can obtain an overall score, individual question scores, and dimension scores.

1. Dimension Settings Entry

- On the Build page, click the "Set Dimension" button.

dimensional entry


- On the Edit Questionnaire page, you can quickly import dimensions and bind questions to them.

Click the "Batch Add Questions" button below. In the upper part of the popup window, add questions and dimensions. The format should be [Dimension Name] + [Question Content]. For example: [Leadership Ability]Able to reasonably distribute resources and authority to subordinates in work.


bulk add


After successfully setting the dimensions, if you need to change the binding relationship between questions and dimensions, you can make modifications on the edit page.


switch dimensions

2. Dimension Weight Setting Process

The process is divided into four steps: Add Dimensions, Bind Questions, Set Dimension Standard Scores, and Set Dimension Weights.


(1) In the format of one line per entry, copy and paste your prepared text into the text box.


add dimension


(2) Check the "Set Multi-level Dimensions" checkbox at the bottom to enable multi-level dimensions, which allows for better categorization of questions.


sub-dimensions


(3) Next, click "Bind Questions" to associate dimensions with multiple questions.


bind questions


(4) After setting the dimension standard scores, they will be displayed in the report and compared with the evaluatee's dimension scores, providing valuable reference information.


 standard scores


(5) Finally, set the weight for each dimension. For example, in the screenshot, the three dimensions have weights of 30%, 30%, and 40%, respectively. When you view the report page, you will find that the evaluatee's total score is calculated by multiplying each dimension score by its corresponding weight. In the case of multi-level dimensions, if the sub-dimensions have assigned weights, the average score for the parent dimension is calculated by multiplying each sub-dimension score by its corresponding weight.


dimension weight


FAQ

Q1: What are the benefits of setting dimensions in 360-degree evaluation questionnaires?

A: Setting dimensions allows you to categorize questions and set weights for each dimension. This enables you to clearly display scores for different dimensions in the evaluation report, where you can obtain an overall score, individual question scores, and dimension scores for comprehensive analysis.


Q2: How can I access the dimension settings in the system?

A: You can access dimension settings in two ways: on the Build page, click the "Set Dimension" button; or on the Edit Questionnaire page, you can quickly import dimensions and bind questions to them using the "Batch Add Questions" button.


Q3: What is the correct format for adding questions and dimensions in bulk?

A: The format should be [Dimension Name] + [Question Content]. For example: [Leadership Ability]Able to reasonably distribute resources and authority to subordinates in work. You can add multiple entries in this format, with one line per entry.


Q4: How does the multi-level dimensions feature work?

A: You can check the "Set Multi-level Dimensions" checkbox to enable multi-level dimensions, which allows for better categorization of questions. This feature supports hierarchical dimension structures for more detailed analysis and organization of assessment content.


Q5: How are dimension weights calculated in the final assessment results?

A: When you set weights for each dimension (e.g., 30%, 30%, and 40%), the evaluatee's total score is calculated by multiplying each dimension score by its corresponding weight. In multi-level dimensions, if sub-dimensions have assigned weights, the average score for the parent dimension is calculated by multiplying each sub-dimension score by its corresponding weight.


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