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If you would like to check, who you have invited to your survey, what you wrote in the invitation mail and which mails were not delivered, just follow the steps below:
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You can also filter the field report by disposition codes, common variables and survey variables. In this way, you can, for example, only display the participants, who suspended the survey, who started the survey at a certain point of time or who answered a question in a certain way. Proceed as follows to filter:
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You can also filter or split the Online statistics according to certain variables. The steps are the same as for filtering or splitting the field report. Proceed in exactly the same way as described under Splitting Field Report ResultsandFiltering Field Report Results.
Open-ended Answers
You can view the answers that participants have given to open questions via the Open-ended Answers menu item.
Select the Open-ended Answers menu item in the Statistics menu.
This menu item also allows you to filter the results according to specific disposition codes, general variables or survey variables. To do this, proceed in the same way as described in Filtering Field Report Results.
If your project is multilingual: Select the desired language for which answers are to be displayed from the Select language drop-down menu.
In case you want to display the answers to all open questions, activate the checkbox in the Include all questions line.
If you only want to see the answers to certain questions, select them by clicking the corresponding checkbox on the right-hand side.
Click on Continue.
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Finally, click on Copy file to local PC on the next page. The export file is downloaded to your local system.
Open the export file. The quality column provides information about the quality of a survey participation. The value for the quality variable is calculated by relating the individual processing time of a participant to the mean processing time of the entire sample and lies between 0 and 1. A value of 0.5, which is exactly on average, indicates a high quality of participation. Participants, who spent more time on the survey, are above this value. Participants, who are significantly below a value of 0.5, should be viewed critically and their survey responses might not be relevant for the further evaluation of the survey. In the example below, you can see that the participant in the 5th row has a value of 0,23 in the quality column has a value of -77. This would therefore be a participant, whose data records you could delete for quality purposes.
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Please note that you must always reactivate the quality correction after new participations – for example, if you have subsequently added a participant to the sample. Otherwise, the value -77 (missing value) will be displayed in the quality column. It is therefore recommended that you always activate the quality correction again before exporting the results data. No quality value can be calculated for participants, who have suspended the survey. For these participants, the value -77 is displayed too. |
To delete data records that do not have the desired quality:
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Once again, you are one step closer to completing your first survey project: you now know how to review the distribution of your emails and how to view initial results data in the Field report and in the Online statistics. You have also learned how to check and ensure the quality of your results data during the field phase. But as you may already have suspected – EFS naturally offers you many more features, with which you can manage your data during the field phase and easily analyze it after it:
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