Comparing survey weights of different designs
Remember that an observation's survey weight tells us how many population units that observation represents. The weights are constructed based on the sampling design. Let's compare the weights for the three samples of the api dataset. For example, in simple random sampling, each unit has an equal chance of being sampled, so each observation gets an equal survey weight. Whereas, for stratified and cluster sampling, units have an unequal chance of being sampled and that is reflected in the survey weight.
Deze oefening maakt deel uit van de cursus
Analyzing Survey Data in R
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Construct histogram of pw
ggplot(data = ___,
mapping = aes(x = ___)) +
___()