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--- en:survey:pretest [05.10.2015 13:56] – old revision restored (15.03.2015 14:01) admin
+++ en:survey:pretest [08.02.2021 21:51] – [Questionnaire Pretest] sophia.schauer
@@ Line 3: / Line 3: @@
 A functioning questionnaire design does not guarantee that every participant understands the questions correctly. Therefore, the most important step to generate valid data is a pretest.
-In order to conduct a pretest, activate the pretest mode for your project. In **Project Settings**, click on the tab Pretest and tick the box in front of //Allow pretest//, set a //Pretest password// and save the changes by clicking //OK//.
+Pretests often fall short, especially in online surveys. This accounts for a large part of the perceived poor data quality of online surveys used in studies.Therefore, how to perform a proper pretest is explained below.
-Now people can access the questionnaire using the correct Pretest password. Pretests are often not used effectively in online questionnaires leading to the alleged poor data quality of online surveys. Therefore, the following steps describe briefly how to conduct an effective Pretest.
+===== Online Pretest =====
-===== Implementation =====
+SoSci Survey allows for online pretests. These typically include less effort, but only reveal major issues. To grasp the more subtle issues (poor formatting, unclear wording, etc.), a face-to-face pretest shall be done.
+  - Create a pretest hyperlink at **Survey Project** -> **Pretest and Preview**.
+  - Copy the pretest hyperlink and give it the testers.
+  - Testers can access the questionnaire with this hyperlink. They will see the question's IDs and a text input to leave comments about the questionnaire.
+  - Finally, download the testers' annotations at **Collected Data** -> **Pretest Comments**.
+**Warning:** Should you delete the collected data, the pretest annotations are deleted as well.
+===== Face-to-Face Pretest =====
 A pretest takes -- depending on the care taken during the design of the questionnaire -- between one hour and several days. Investing this time is worthwhile though, since a severalfold will be saved when analysing the data. Further, data quality will be higher and rates of discontinuation lower.