OBJECTIVE |
OBJECTIVES
ORGANIZATION AND KEY POINTS OF SESSION
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Give examples or ask for suggestions. Ask how it is possible to assemble sampling frames for health facilities, health workers, and households in a community. Slide 6
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Highlight the difference between the two categories. Slide 8
Highlight that non-probability methods may produce biased results, but often have to be used. Give the example of observing episodes of patient care, where it would be impractical to use a probability sample. Slide 9
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Key Point: Be sure participants understand the fact that the exact totals (not the rounded result) are used as the base in subsequent additions. Slide 12
Key Point: This method gives larger units a much greater chance of being selected then smaller units. It is possible that the same unit is selected twice, in which case twice as many cases would be sampled at that unit.
Slide 13 Highlight: use this method when you want to compare results in subgroups of the study population, or to ensure that they are represented correctly in the sample. Slide 14
Have as many clusters as possible, with cluster size as small as possible. Slide 15
Point out that the WHO Indicators Study is a multistage sample in which 20 health facilities are selected, and then 30 drug use encounters are sampled within each facility. Slide 16
Stress - If an event is rare a larger sample is needed. Frequent events require smaller sample size. The more accurate you want to be, the larger the sample needed. Slide 17
At each level of sample size, confidence intervals increase as the real figure varies from 50%. Increasing sample size reduces the size of the 95% confidence interval.
Slide 18
Agree on definitions before sampling. Slide 19
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