This report describes the Sample Planning Tool(Tool) developed for surveys conducted by the Defense Manpower Data Center (DMDC). The approach implemented by the Tool is particularly suited for where there is a great depth of information (such as in personnel databases) available on the population to be sampled. The software is designed to produce optimal sample designs for the general class of designs with cost models that are restricted to mail data collection procedures and variance models that are restricted to stratified random sampling design. Features of the Tool assist in: constructing and stratifying the sampling frame, constructing cost and variance models, defining reporting domains to provide the basic for specifying the precision requirements for the surveys, and specifying and imposing precision requirements. With this information the Tool computes the minimum cost allocation of the sample that will satisfy the precision requirements. The mathematical basis for the tool is provided by the Karush-Kuh Kuhn-Tucker necessaryconditions for function minimization (Kuhn a Tucker, 1951) Aas described by Chromy (1987). The intended users of the Tool are sampling statisticians and other analysts familiar with sampling theory. The Tool is written in Visual Basic and executed in Microsoft Access 2.0.The intended users of the Tool are sampling statisticians and other analysts familiar with sampling theory. The Tool is written in Visual Basic and executed in Microsoft Access 2.0.
|Title||:||DMDC Sample Planning Tools User's Manual (Version 1.2).|
|Author||:||Jill Kavee, Research triangle inst research triangle park nc|