In Questionnaire Designer user may change parameters of objects created on the screen for some or for all objects in the questionnaire. To do this, user has to select Tools item from the top menu, and then Change the component properties.
This function can be used when it is needed to change the appearance, parameters for a larger number of screens or for the whole questionnaire. For example, surveys performed in the CATI studio have the resolution of 800x600 (px). If the developer wants to quickly create identical (or very similar) project for CAPI field interviewers, they would have to use the change component properties option on a created copy of the project in order to adapt the questionnaire to another resolution, e.g. 1024x768 (px).
The component size change tool works similar to the style editing tool. In this case, user defines the appearance of newly created controls and using the change component properties option, user may perform bulk editing of existing controls parameters.
If this function is used, the following window will be shown:
By default all basic elements, such as screen size, grid size, background image, are shown, etc. User may edit selected parameters. The Select a component pull down list contains all objects available in the CADAS application. User has to select a single element, e.g. a Single question, in order to make changes. The Add property pull-down list contains all parameters for this type of question. User may add only selected elements of the object, selecting them individually from the pull-down menu and then clicking the add a field option .
If All is selected, the application will automatically show full list of parameters for a given component.
After all changes are entered, user shall click the Apply button to accept changes. If Cancel is clicked the changes will be rejected.
If the Selected screens check box is checked, changes will be applied to selected screens only. Otherwise changes will affect all screens in the questionnaire.
Other components shall be changed similarly. In this way a project being executed, e.g. in the CAPI studio, can also be quickly prepared for execution by field interviewers.