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Appendix C: Domain Estimates, Reliability, and Small-Area Estimation
Pages 73-78

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From page 73...
... Viewing such domain-specific information may make the indicators more meaningful and relevant to the personal experience of the user. While SUSA cannot substitute for or incorporate the vast array of information resources available for planning by state and local government as well as commercial actors, presentation of domain indicators can enhance the value of the site to the general user.
From page 74...
... With the more complicated designs typical of national surveys, the relationship of domain size to SE might be more complex; for example, the NHIS design collects no data at all from many counties. The more or less gradual decline in precision for smaller domains suggests that some standards are required for precision and that domain measures should not be reported if they do not meet those standards.
From page 75...
... An example might be "percentage with a usual source of care." The recommended data source for that national indicator is the Medical Expenditure Panel Survey-Household Component (MEPS-HC) , a high-quality survey conducted using nationally uniform methods by a single agency.
From page 76...
... Statistical "small-area estimation" approaches can sometimes be used to develop usable domain estimates in scenarios 2 and 3 above. "Smallarea estimation" refers to methods for obtaining usable estimates for domains for which sample sizes are inadequate to produce adequately precise estimates using only data from within the domain.
From page 77...
... In essence, each is weighted proportionally to its precision. If the direct estimator is more precise relative to the predictive accuracy of the model, the direct estimate receives more weight; conversely if the direct esti mator is less precise (due to small sample size in the domain)
From page 78...
... become available, providing additional small-area detail. The Substance Abuse and Mental Health Services Administration (SAMHSA)


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