Mauradhwaj singh Rajawat’s Updates

Module A2 Week 2 community assignment

Describe the primary sampling units (PSU) and secondary sampling units (SSU) used in country C and in Kinshasa province in the study by Burnett et al.

Country C:

The primary sampling units (PSU) is the EA and will be selected on the basis of the P ( Probability Proportional to Size )

Secondary sampling units (SSU) is the households and will be selected using systematic random sampling methodology (SYRS) from the list of households in the selected clusters.

Kinshasa:

In Kinshasa the PSU is the neighborhoods and SSU is the households

2. The Kinshasa province survey described in Burnett et al. had 3 sampling stages, what was the third sampling stage.

The third stage is the selection of the respondent in the households.

3. Based on the definitions of probability sampling and sampling frame found in the 2015 Vaccination Coverage Survey Reference Manual (section 3.6, section 6.2 and annex A), what do you think of the sampling frames used in country C vs. the sampling frame used in the survey described by Burnett et al.? Describe potential limitations of the frames used and how they may relate to sampling bias

The protocol for Kinshasa use a line list (source: DHS) which includes only households with adult female only, allowing for a prior selection bias (i.e., excluding those HHs with male adults). On the other hand, Country C will rely on the National Statistics Office to obtain the sampling frame.

4. In the Kinshasa province survey described in Burnett et al., the expected sample size was not reached. The authors describe two potential factors that may have contributed to this. How could have this been prevented? What are the main consequences of not reaching the expected sample size?

Other official lists from the National Census Bureau or National Statistics Office, which may be more inclusive (not limited to adult female). Advanced planning and involving local community leaders to determine the best time for the interview so that they can maximize the chance of not missing respondents in the visited households.

  • Laydi Hana
  • Anna Shetty
  • Ms Flower
  • Shanelle Asbury
  • Munna Vikram