Variable Setting
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Support for custom variables, which allows the recombination of survey question fields to generate new variables. These newly generated variables can be used for subsequent weighting, statistics, and cross-calculation
Fields marked with * are mandatory. Multiple valid values can be added under the same variable. The rules for valid values are defined according to project requirements.
The system will match according to the order of the valid values above. The same survey data will be preferentially matched to the valid values in the earlier order. If none of the above conditions are met, it will be left blank.
Variable types: single-choice, multiple-choice
Single-choice type: Similar to multiple-choice questions, each player can only correspond to one valid value variable. [For example] Gender: Male, Female
Multiple choice type: Similar to multiple-choice questions, each player can correspond to one or more valid values of the variable. [For example] Frequently played categories: Action Role-Playing/ARPG, Shooting, Real-time MMORPG, Racing, Sports.
If the conditions for valid values include multiple-choice questions/matrix multiple-choice questions, then it is a multiple-choice variable.
The current system functionality only supports setting single-choice variables. If there are multiple-choice variables, the variables need to be split into multiple ones according to valid values. Each variable would be: original_variable_valid_value: valid_value or original_variable_valid_value: yes.
[Example]
Frequently played genres: Action Role-Playing Games (ARPG), Shooting games, Real-time MMORPG, Racing games, Sports games
Split into multiple variables as:
Frequently played category_Action Role-Playing Game/ARPG: Yes
Frequently Played Category_Shooter: Yes
Frequently Played Category_Real-time MMORPG: Yes
Frequently Played Category_Racing: Yes
Frequently Played Category_Sports: Yes
fter finishing editing all variables, click "Execute Calculation Variables" above to trigger the calculation. Once the calculation is complete, the variables will be written into the survey data as new columns, which can be used for statistics, cross-analysis, etc.
All newly generated variables can be used as weighting conditions to adjust the sample proportion.
In the exported raw data/encoded data, newly generated variables will be updated as new columns in the list.
The distribution of each valid value of the newly generated variable can be viewed on the statistical chart page.
The newly generated variable can be used as a header for cross-analysis.
