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March Quiz

You're running a survey. The only quotas are nat rep on age, gender and location. After soft launch, you pick up an error effecting a quarter of the sample. They have not been shown 1 question correctly. The question affected is filtered by users of a specific product. What is the best course of action to take?
Inform the client, and replace all the effected respondents
Don't inform the client, and replace all the effected respondents
Inform the client, and discard the data for the effected question only (keeping everything else)
Don't inform the client, and discard the data for the effected question only (keeping everything else)
Inform the client, and launch a recontact to re-collect data for that question
Don't inform the client, and launch a recontact to re-collect data for that question
Do nothing
Do something else
Which of the following is NOT a possible cause for data shifts within a tracking study?
Changes to screening questions
Changes to quota targets (or quota structure)
Changes to targeting / sampling
Changes to panel source mix
Changes to exclusion periods
Changes to data map
Changes to fieldwork duration
None of the above
You're running a B2B study and have run out of targeted sample. You open up to gen pop sampling, and the IR increases. Is that a problem?
Yes
No
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