By Dr. Eun Sul Lee, Dr. Ronald N. Forthofer
This e-book examines how one can study complicated surveys, and specializes in the issues of weights and layout results. This new version contains fresh perform of reading advanced survey information, introduces the recent analytic procedure for specific information research (logistic regression), experiences new software program and offers an creation to the model-based research that may be necessary interpreting well-designed, quite small-scale social surveys.
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Extra resources for Analyzing Complex Survey Data
Ten of the subsamples were used for the community survey, with the remaining two reserved for another study. The 10 replicates are used to illustrate the variance estimation procedure. These subsamples did not strictly adhere to a fundamental principle of independent replicated sampling because the starting points were systematically selected, except for the first random starting point. 68 SOURCE: Adapted from ‘‘Complex Survey Data Analysis: Estimation of Standard Errors Using PseudoStrata,’’ E.
The community mental health survey conducted in New Haven, Connecticut, in 1984 as part of the ECA Survey of the National Institute of Mental Health (E. S. Lee, Forthofer, Holzer, & Taube, 1986) provides an example of replicated sampling. The sampling frame for this survey was a geographically ordered list of residential electric hookups. A systematic sample was drawn by taking two housing units as a cluster, with an interval of 61 houses, using a starting point chosen at random. A string of clusters in the sample was then sequentially allocated to 12 subsamples.
14 modified to include the PSUs and strata. 4 (JRR). The estimated proportion varies by gender, race, and level of education. Because the subgroup sizes are small, the standard errors for the subgroups are larger than that for the overall estimate. In addition, the design effects for subgroup proportions are different from that for the overall estimate. In this chapter, we presented several methods of estimating variance for statistics from complex surveys (for further discussion, see Rust and Rao, ).
Analyzing Complex Survey Data by Dr. Eun Sul Lee, Dr. Ronald N. Forthofer