Reviews sampling methods used in surveys: simple random sampling, systematic sampling, stratification, cluster and multi-stage sampling, sampling with probability proportional to size, two-phase sampling, replicated sampling, panel designs, and non-probability sampling. Kalton discusses issues of practical implementation, including frame problems and non-response, and gives examples of sample designs for a national face-to-face interview survey and for a telephone survey. He also treats the use of weights in survey analysis, the computation of sampling errors with complex sampling designs, and the determination of sample size.
This section describes two sample designs in order to illustrate how the preceding techniques can be combined in practical applications. One example is a sample design for a national face-to-face interview survey in the United States and the other is a sample design for a telephone interview survey.
A National Face-to-Face Interview Survey
Both the Survey Research Center (SRC) at the University of Michigan and the National Opinion Research Center (NORC) at the University of Chicago maintain national probability sample designs for their face-to-face interview surveys of individuals, families, households and sometimes other units of inquiry. These sample designs are revised every decade to take advantage of up-to-date data provided by the decennial Census of Population and Housing. After the 1980 census, the two organizations ...