The Association of Survey Setting and Mode with Self-Reported Health Risk Behaviors among High School Students

This study examined whether the prevalence of self-reportedhealth risk behaviors among high school students varied by surveysetting (school versus home) and mode of administration (paperand pencil versus computer). Students in grades 9 and 11 wereassigned randomly to one of four conditions—school paper-and-pencilinstrument (PAPI), school computer-assisted self-interview (CASI),home PAPI, and home CASI. During the spring of 2004, 4,506 studentscompleted identically worded questionnaires based on the YouthRisk Behavior Survey questionnaire. Logistic regression analysescontrolling for sex, grade, and race/ethnicity revealed thatsetting was associated significantly with the reporting of 30of the 55 risk behaviors examined, and mode was associated significantlywith the reporting of 7 of the 55 behaviors. For all behaviorswith a significant setting main effect, the odds of reportingthe behavior were greater among students who completed questionnairesat school than among students who completed questionnaires athome. For all behaviors with a significant mode main effect,PAPI mode students had lower odds of reporting the behaviorthan CASI mode students. Because social measurement researchassumes that higher prevalence estimates are more valid thanlower estimates, methodological factors shown to increase estimates,such as setting and mode, should be considered when planningsurveys.     

The Impact of Candidate Sex on Evaluations of Candidates for the U.S. House of Representatives*

Objectives. To examine how voters and the general public evaluate women candidates by examining ideological and issue‐based evaluations of women candidates for the House of Representatives. Methods. Data are drawn from the National Election Study for all U.S. House elections from 1990 to 2000. OLS and logistic regression models examining the role of candidate sex in evaluations are tested. Results. When evaluating Democratic candidates, people see them as more liberal and utilize more female issues in their evaluations when the candidate is a woman. For Republican candidates, candidate sex is much less likely to be related to how people evaluate them. Conclusion. The central role of party in public evaluations of women candidates suggests that the impact of candidate sex on voters is more complex than previous works have suggested.     

Employment motivations of farm spouses

In the study reported here, reasons for working off the farm and reasons for not working off the farm are examined as a function of gender and socioeconomic characteristics. Women are significantly less likely than men to work off the farm to supplement farm income, and significantly more likely to work off the farm for personal reasons. A logistic regression analysis finds that men, those employed fulltime off the farm, and those with lower household incomes are most likely to cite economic reasons for working off the farm. Men are nearly twice as likely as women to cite time constraints as the primary reason for not working off the farm, while only women cite family responsibilities. Logistic regression reveals that men, those with higher household incomes, and those with livestock operations are most likely to cite lack of time as the primary reason for not working off the farm.Patricia J. Wozniak is Associate Professor in the Department of Experimental Statistics, Louisiana State University, Baton Rouge, LA 70803. Her research interests include family life and family economics, as well as the application of statistics to the social sciences. She received her Ph.D. in Psychology from the University of Wisconsin—Milwaukee.Kathleen K. Scholl is Senior Coordinator of the Economics Team of the Public Policy Institute at the American Association of Retired Persons, 1909 K Street NW, Washington, DC 20049. She received her Ph.D. from Purdue University.     

Laplace-normal mixtures fitted to wind shear data

A mixture model with Laplace and normal components is fitted to wind shear data available in grouped form. A set of equations is presented for iteratively estimating the parameters of the model using an application of the EM algorithm. Twenty-four sets of data are examined with this technique, and the model is found to give a good fit to the data. Some hypotheses about the parameters in the model are discussed in light of the estimates obtained.     

Integrated marked Poisson processes with application to image correlation spectroscopy

Image correlation spectroscopy (ICS) is an experimental technique used in the study of cell tissue, specifically to obtain information about protein aggregates. This paper discusses a filtered Poisson process model of ICS, and uses this to obtain the sampling distribution of an estimator of interest, using spectral methods. Integrals of third- and fourth-order spectra are involved, and methods proposed in the literature are studied numerically. They are found to be infeasible methods, requiring months of computing time. An alternative method is proposed and is illustrated on some actual ICS experiments. A novel feature in this study is the use of a SIMD-class parallel computer, a MasPar MP-2 machine, to obtain some statistical properties of the estimation method.     

Fieldwork in forbidden terrain: the state,privatization and human subjects regulations

In this paper we explore the intersection of the modern-state and fieldwork practices within the social sciences. Our contention is that during the past decade or so there has been an expansion in forbidden or restricted research terrain that threatens the present and future conduct of social research. We argue that this restriction has been engendered by two related developments: privatization and human subjects regulations. The social and political implications of these trends are considered. Her most recent books areMadwives: Schizophrenic Women in the 1950s (Rutgers University Press, 1987) andGender Issues in Field Research (Sage, 1988). He is the author ofCastles of Our Conscience: Social Control and the American State, 1800–1985 (Forthcoming, Polity Press, Cambridge, U.K.)     

The value of green belt land

This paper estimates the value of green belt land by assessing its output: agricultural; amenity; recreational; and savings in costs, by restricting the size of urban areas. These outputs are valued in social terms by the application of welfare economics. Some types of agriculture are shown to impose net social cost rather than benefits. Hedonic price models and contingent valuation are used to assess amenity benefits which are revealed as the most important justification for green belts. These benefits are set against the opportunity cost of the land in terms of foregone housing and industrial development. Uncertainty and irreversibility of a land-use change, from green belt, suggests that the benefits of housing or industry should substantially exceed the value of green belt land before a land-use change is sanctioned.