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)

    Web-data collection (CAWI)