When running a Longitudinal Study, it is important to:

1. 1. Let participants know up front that the study is longitudinal.
      You can use the description box to tell participants the study requires multiple rounds of data collection. Within the survey, ask participants again if they would be interested in doing the rest of the project. Participants who are unsure of their commitment to participating in follow-up study are more likely to drop out of the study.
   2. Be sure you are collecting each participant's Connect ID.
      You can then track them between each wave of data collection and match up responses.
   3. Pay more across time points or offer a bonus for completing all time points.
      By using an incremental pay schedule or offering a bonus at the end, you can increase the incentive for participants to continue being part of your project. Be sure to let participants know about the pay schedule up front using the custom instructions box. For example, if participants can earn up to $10 by taking both studies you can include a statement in the initial study description that says "This is a two-part study. The next study will be available in X days. Earn up to $10 by completing both."
   4. Pay above average wages.
      Participants are more likely to return for successive ways of data collection not just if there is a bonus or increasing rewards to be earned, but also when the study's overall pay is above average. Average wages are close to minimum wage, so most longitudinal studies should pay above minimum wage.
   5. Notify participants when the follow-up study launches by sending messages.
      You can do this by navigating to the "Conversations" tab on your Connect account and composing a new message by pasting all included participant IDs in the recipient area. Additionally, after launching you can select the "..." for the study and then click "Notify". All included participants who have not already taken your project will be automatically added to the recipient section. You can then send them a message about finding the study on the dashboard to take.