What can I do to minimise the drop-out rate of my study?
We tend to see very low attrition (drop-out) rates in longitudinal studies if the requirements of the full study are made clear upfront, and the time between follow-up stages is not too long.
Drop out rates depend on a lot of factors. To name a few:
- How far apart are the different parts of the study?
- How generous are the rewards?
- How long do the different parts take?
We've had studies with 0% dropout rate and as high as 50%. A typical study would be somewhere in between these extremes. An independent study by Kothe and Ling found attrition of <25% over 1 year. Shorter longitudinal studies following best practices can expect better retention than this.
There are some steps you can take to minimise the attrition rate:
- You should clearly communicate your study information (i.e. expectations of participants, reward structure, time gap between the phases of your study).
- You could also screen for those with at least 20 previous submissions, to ensure you are obtaining active and committed participants. You can do this by applying the 'number of previous submissions' prescreener. Inexperienced participants are more likely to drop out.
- Paying a generous reward and offering bonus incentives to participants who complete all parts of your longitudinal study is also a good way to minimise attrition - you can read about how to do this here: bonus payments.
Can I delay payment until all parts of the study are completed?
What should I do if a participant says that they can't access my follow-up studies?
If a participant on an allowlist has informed you that they are unable to see your study on their dashboard, please get in touch with our Support Team for further assistance.