Defining and measuring poverty in the nonmetropolitan United States using the survey of income and program Participation

Because the poor historically have been more prevalent in nonmetropolitan than metropolitan areas in the United States, issues related to poverty (including its definition and measurement) are important to nonmetropolitan people. This study uses the unique monthly data from the Survey of Income and Program Participation (SIPP) to define poverty in different ways. How poverty is defined affects both the measured extent of nonmetropolitan poverty and the groups who are included among the nonmetropolitan poor. Regardless of how poverty is measured, however, nonmetropolitan areas have disproportionately more poor than metropolitan areas. In addition, the nonmetropolitan poor are more likely to be white, aged, disabled, and members of married-couple households than the metropolitan poor under all definitions considered. None of the definitions examined is intrinsically superior. The choice of a definition to use depends largely on the research problem under consideration.     

Scientific advice and public policy: expert advisers’ and policymakers’ discourses on boundary work

This article reports on considerable variety and diversity among discourses on their own jobs of boundary workers of several major Dutch institutes for science-based policy advice. Except for enlightenment, all types of boundary arrangements/work in the Wittrock-typology (Social knowledge and public policy: eight models of interaction. In: Wagner P (ed) Social sciences and modern states: national experiences and theoretical crossroads. Cambridge University Press, Cambridge, 1991) do occur. ‘Divergers’ experience a gap between science and politics/policymaking; and it is their self-evident task to act as a bridge. They spread over four discourses: ‘rational facilitators’, ‘knowledge brokers’, ‘megapolicy strategists’, and ‘policy analysts’. Others aspire to ‘convergence’; they believe science and politics ought to be natural allies in preparing collective decisions. But ‘policy advisors’ excepted, ‘postnormalists’ and ‘deliberative proceduralists’ find this very hard to achieve.     

The relative costs and benefits of telephone interviews versus self-administered diaries for daily data collection

This article compares two methods of collecting daily data: self-administered diaries and telephone interviews. Study participants included 44 men and 56 women between the ages of 16 and 35 who participated in a larger study of drinking, drug use, and sexual activity. Participants were randomly assigned to either the written diary or the telephone interview conditions; question wording and format were identical in both conditions. Daily data were collected for a period of 8 weeks. Results indicate that although telephone interviews resulted in slightly more missed days of data collection, they generally yielded less item-level missing data, produced cleaner data and therefore were less costly to process, and were as palatable to participants as self-administered diaries. Except for reports of drinking and vegetable consumption, telephone and diary conditions did not differ in the amount of behavior reported; more drinking and vegetable consumption were reported with telephone interviews, however. Telephone interviews also imposed considerably higher overall personnel costs.     

The value of symmetric and asymmetric indices of segregation constructed from MCD data

People studying rural communities typically limit their analyses to single communities or to comparatively large units, such as counties. This information is important, but it is in local subcounty areas where rural people live and work. We examine the appropriateness of minor civil divisions (MCD's) as a small ecological unit in nonmetropolitan areas to measure segregation between poor and nonpoor people. The index of dissimilarity (D) and P^*-type contiguity indices are evaluated for the nonmetro portions of Mississippi and Wisconsin. MCD's are different in the two states, which affects the interpretation of the indices. We found that segregation, as measured by D, was low in both states. The low value of D in Mississippi may have resulted from how the state's MCD's were delineated. Although the P^* indices are highly correlated with the poverty rate, they do provide more information than the poverty rate alone.