Statistical sampling plays a significant role in any study that you will ever run. Not having a large enough and reliable sample will pose questions regarding your project findings’ rigor, and worse, it could lead to misinformed budgetary decisions.
Instruments are designed based on internationally agreed protocols. To validate the instruments, these are piloted in a non-survey sample area to capture the local context and ensure internal validity.
Some of the instruments we have developed in the past
Vignettes, mystery shopper, standardized
Patient charts, observation files
Patient files, patients guide
Focus group, interview guides
The following process is envisioned
Set up the data collection protocols
Draft the data collection manual
Plan the data collection
Train enumerators
Monitoring of Data Quality
This is done in 3 stages
Supervisor level
- Accompanies field teams & sits on interviews
- Gives feedback and debriefs teams in the evening
- Keeps under-performing enumerators accountable
Back-checks/ independent audit level
- Performs random checks on 10% of the sample
- Perform the third visit when needed
- Confirm status if dropped/ replaced
Logbook management level
- Check response and completion rate
- Ensure drop replacement and the reason why
Type Of Data Collection Procedures
Field data collection (F2F)
Telephone data collection (CATI)
