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2. Weighting to adjust for differential unit nonresponse accros population subgroups.
3. Imputation for item nonresponse.
2. Examine internal variation in the data collection.
2. Select a sample of numbers between 1 and N, where N is the population size.
3. Count the population and gather data from the appropriately numbered members.
2. Sample population members within clusters at some fixed rate.
3. Compensate for clustering by randomly selecting one population member from each cluster and weighting that observation by the size of the cluster.
2. To draw the sample and check only the selected elements to determine how many times they are duplicated in the total population list. Sample members that are listed k times would be retained at the rate of 1/k.
3. To ask selected population members how many times they appear in the lit. Observations are weighted by the inverse of their number of times in the list (1/k).