Discuss the results presented in table HH.1 and describe the importance of this table in any survey.

1. Table HH1 presents the Number of households, and children 12 to 23 months old by interview results, and household, and children 12 to 23 months old.
The table shows the number of household’s samples, and the those occupied and out of which those that agreed to be interviewed across the rural and urban locations and across each of the six geopolitical zones of Nigeria. Its shows that the response rate is higher in the rural areas and south west zones has the lower response rate overall
However, when it comes to the household with children with aged 12-23months, the South-south zones have the lowest response rate and the North-West zones has the highest rate of 99.2 percent. Also, the rural areas have the higher rate compare to the urban area.
The table is also important to adjust non- response rate this is to ensure that the survey results represent the target population, an adjustment is made to the design weight to transfer the sampling weight of the non-respondents to the respondents of the survey. This adjustment is referred to as the nonresponse adjustment.
The table is also as the analysis plan will be pooling the estimates across the six geopolitical zones to calculate a national coverage estimate. In this case the analysis is intended to estimate population totals therefore the table will also be used to calculate the post stratification weight

From tables HH.3 and HH.5, (a) describe the key differences between weighted and unweighted household composition findings. (b) What factors would influence the differences observed between the weighted and unweighted results.

(a)The mean household size has a weighting effects on each state. the state with somewhat high household mean size example, Lagos with a mean HH size of 5.7 with unweighted size 1681 but when weighted is 2324. And those that have a small size like FCT 0.8 with an unweighted size of 1174 has a size of 322 when weighted. Benue with 3.0 changed very slightly when weight was applied.

(b) One factor that can influence the differences observed between the weighted and unweighted results is the mean household size, also because the results of the survey are based on a sample rather than a census, they have an element of uncertainty due to sampling variability so the need for weighting to help balance the sample variability

The results of table IM.1 are based on a weighted analysis (a) Discuss the findings of table IM.1

(a)The table shows the children aged 12 to 23months who caregiver reported having taken the three doses of pentavalent vaccination penta 1, 2 and 3 and the seen shows those the enumerators were able to sight any records of any of the penta on their cards. Overall, on the national level, there is a decrease in number of children reported to have taken penta3 compared to those that had penta 2 and penta 1. About 29% of the vaccination card was seen. The same trends is reported on the table across the states and zones

(b) How does sample size influence the findings in table IM.1? The smaller sample sizes seem to generate wider intervals. There is an inverse square root relationship between the confidence interval and sample size

(c) Describe what would be the key differences in results of table IM.1 if they were computed on the unweighted sample: One key differences in the results of the table if computed with unweighted sample will be a” misleading” low or high coverage of penta vaccination that with be largely because of the sampling design effect place with large sample size will be showing a” false” high coverage if the survey is not weighted.

If a survey has “low” card availability, would you do the analyses that require dates (timelines, simultaneity of vaccines recommended at the same age, missed opportunities) weighted or unweighted? Why? Explain.

Yes, even with low card availability estimate of coverage can be done but interpreted with caution. The missing care will be included in the denominator and counted as unvaccinated in the numerator. And it will be weighted

(a) With reference to table IM.14 describe key differences between crude and valid coverage. (b) How does card availability (and with dates) influence computation of valid coverage?

The difference between the crude and valid coverage as report on table 14 is that the valid coverage is higher compare to the crude coverage. Card availability with dates influence the computation of valid coverage as valid coverage is only done with home based or facility based records