I want to ask for help and ideas about how to best implement a survey, which includes only participants from a previous study of mine. Here are the details:
I conducted a study on prolific about a year ago with ~1000 UK participants. Now I want to do the same study again with the same participants. The survey is quite short, it includes just one factorial experiment (i.e. a fictional scenario, where participants give their opinion) and a couple of other questions. Here are my specific problems and questions:
What can I expect with regard to the response rate?
Prolifics study draft calculator says that from the 1000 participants of the original study 880 are still active here. Any educated guess about what to expect as response rate would be helpful.
How much does payment matter for the response rate?
The problem is that the original study was implemented as part of a larger survey with an above average hourly rate of compensation for respondents. If I apply the same rate to the new study, which is only about 3 minutes, the relative compensation per hour looks fine, but in absolute terms participants earn only 0.45£. I could overpay even more and go up to 0.5£, but I was wondering if generally such short studies are unattractive to participants.
Any ideas on the technical implementation?
For the new study it is important that every participant receives the same experimental condition as in the previous study. I am using LimeSurvey for hosting and survey design and the only solution, which I found as of now was to ask participants for their Prolitic ID and then condition the experimental scenario for each unique ID. With 1000 participants in the sampling frame, this should be a lot of coding work and is also error prone if participant enter the wrong number. Working with ULR parameters may help, but I do not know how to implement this and there appears to be no integration guide for LimeSurvey.
Of course I am also thankful for every other idea or issue that you think is important when running a study with the same participants as in a previous study. Links or literature suggestions for methodological and statistical work that covers such study design are also very appreciated.