Take for instance, you recruited 200 participants to take part in your Diet Research & Studies – on certain foods and how much intake will it affect one’s weight over the next 3 months. Halfway through the second month, you decided to spin off another study on the same group of participants. This could be a study on how ‘Exercises’ could negates the effects of the food intake in your initial Diet Research & Studies. However when you contacted the 200 participants, only 100 participants were interested to take part.
This is where the ‘Cohort’ feature come into good use! With reference to above instance,
- 100 participants whom are not interested in 2nd study = [cohort A]
- The other 100 participants whom agreed to take part in 2nd study = [cohort A] + [cohort B]
- Questionnaires belonging to first study on ‘Diet’ are tagged to [cohort A] + [cohort B]
- Questionnaires belonging to second study on ‘Exercises’ are tagged to [cohort B]
- Participants in [cohort A] will not be able to see and attempt questionnaires belonging to 2nd study on ‘Exercises’
- Participants in [cohort B] and will be able to see and attempt questionnaires belonging to 1st study on ‘Diet’ and 2nd study on ‘Exercises’
Please refer to below flowchart for a quick understanding.