A Proof of Whites Porism (1916)(en)(2s) by Coble A.B.

By Coble A.B.

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Prevalence rates can be identified only if one makes sufficiently strong assumptions about the behavior of nonrespondents. Generally, nonresponse is assumed to be random, thus implying that prevalence among nonrespondents is the same as prevalence among respondents. The committee is not aware of empirical evidence that supports the view that nonresponse is random. Indeed, studies of nonresponse in surveys of drug consumption provide limited empirical evidence to the contrary (see National Research Council, 2001).

Two key features of accuracy are the validity and reliability of measurement. In general terms, a measure is valid to the degree that it represents the underlying phenomenon of interest, and it is reliable to the degree that it yields the same data over repeated applications. Many of the debates over the relationship between firearms and violence center on questions of validity and reliability. For example, some analysts question the validity of the NCVS for measuring the prevalence of defensive firearms use because, as a survey of crime victims, the NCVS may not fully capture crimes that are averted by the use of firearms.

Many of the debates over the relationship between firearms and violence center on questions of validity and reliability. For example, some analysts question the validity of the NCVS for measuring the prevalence of defensive firearms use because, as a survey of crime victims, the NCVS may not fully capture crimes that are averted by the use of firearms. Other researchers question the reliability of one-time sample surveys for measuring rare events, such as defensive use of guns. The chief function of data standardization is to ensure reliability of measurement.

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