Prevention of methamphetamine abuse: can existing evidence inform community prevention?

Little research exists on effective strategies to prevent methamphetamine production, distribution, sales, use, and harm. As a result, prevention practitioners (especially at the local level) have little guidance in selecting potentially effective strategies. This article presents a general causal model of methamphetamine use and harms that reflects the available findings from either research specific to methamphetamine or from alcohol and other illegal drugs, and suggests prevention approaches and strategies that communities might use based upon research evidence and experience. Community methamphetamine prevention can use the public health and safety perspective applied to other substance abuse prevention. Analyses of the complex system of intermediate variables that interact to affect methamphetamine use and harms suggest that multiple reinforcing prevention interventions may have the greatest potential effectiveness.     

Preference for Nature in Urbanized Societies: Stress, Restoration, and the Pursuit of Sustainability

Urbanicity presents a challenge for the pursuit of sustainability. High settlement density may offer some environmental, economic, and social advantages, but it can impose psychological demands that people find excessive. These demands of urban life have stimulated a desire for contact with nature through suburban residence, leading to planning and transportation practices that have profound implications for the pursuit of sustainability. Some might dismiss people's desire for contact with nature as the result of an anti-urban bias in conjunction with a romantic view of nature. However, research in environmental psychology suggests that people's desire for contact with nature serves an important adaptive function, namely, psychological restoration. Based on this insight, we offer a perspective on an underlying practical challenge: designing communities that balance settlement density with satisfactory access to nature experience. We discuss research on four issues: how people tend to believe that nature is restorative; how restoration needs and beliefs shape environmental preferences; how well people actually achieve restoration in urban and natural environments; and how contact with nature can promote health. In closing, we consider urban nature as a design option that promotes urban sustainability.     

Dating and Sexual Behavior Among Single Parents of Young Children in the United States

Theory and research on partnered parents suggests trade-offs between parenting and sexuality, with those trade-offs most pronounced among mothers of young children. However, little research has focused on how a growing demographic of single parents negotiates dating and sexual activity. The current study drew upon a 2012 nationally representative sample of 5,481 single Americans 21 years of age and older, of whom 4.3% were parents of a child age five or younger. Dependent variables were sexual thoughts, frequency of sexual activity, number of sexual partners in the past year, dates during the previous three months, and whether one was actively seeking a relationship partner. Covariates included parental age, sex/gender, sexual orientation, education, and income. Using the entire sample of singles, we found no main effects of number (0, 1, 2+) of children aged five years and younger or number of children aged two years and younger on dating and sexual behavior variables. Next, using analyses restricted to single parents (n = 2,121), we found that single parents with a child aged five years or younger, adjusting for covariates, reported greater frequency of sexual activity and first dates but no differences in other outcomes compared with single parents of older children.     

Measures of biomarker dependence using a copula-based multivariate epsilon–skew–normal family of distributions

In this note we develop a new multivariate copula model based on epsilon–skew–normal marginal densities for the purpose of examining biomarker dependency structures. We illustrate the flexibility and utility of this model via a variety of graphical tools and a data analysis example pertaining to salivary biomarker. The multivariate normal model is a sub-model of the multivariate epsilon–skew–normal distribution.     

Making a place in the metropolis: Locational attainment in cities and suburbs

What accounts for the differences in the kinds of communities within the metropolis in which members of different racial and ethnic groups live? Do socioeconomic advancement and acculturation provide greater integration with whites or access to more desirable locations for minority-group members? Are these effects the same for Asians or Hispanics as for blacks? Does suburbanization offer a step toward greater equality in the housing market, or do minorities find greater discrimination in the suburban housing market? Data from 1980 for five large metropolitan regions are used to estimate "locational-attainment models, " which evaluate the effects of group members’ individual attributes on two measures of the character of their living environment: the socioeconomic standing (median household income) and racial composition (proportion non-Hispanic white) of the census tract where they reside. Separate models predict these outcomes for whites, blacks, Hispanics, and Asians. Net of the effects of individuals’ background characteristics, whites live in census tracts with the highest average proportion of white residents and the highest median household income. They are followed by Asians and Hispanics, and-at substantially lower levels-blacks. Large overall differences exist between city and suburban locations; yet the gap between whites and others is consistently lower in the suburbs than in the cities of these five metropolitan regions.     

Structure of Uncertainty and Decision Making: An Experimental Investigation*

Decisions in the real world usually involve imprecise information or uncertainty about the precesses by which outcomes may be determined. This research reports the results of a laboratory experiment which examined whether the structure of uncertainty, namely, both the center and the range of the probability distribution describing the uncertainty, is an important determinant of choice. Specifically, it examines how the uncertainty of audit by the Internal Revenue Service of income tax returns affects taxpayers' decisions about intentional noncompliance. The context is relevant as almost nothing is known about how taxpayers assess detection risks using the probability information they have. The study focuses on intentional noncompliance. The factors affecting it are distinct and separate from those affecting unintentional noncompliance. Other factors that affect intentional tax noncompliance, such as risk, tax rates, and penalty rates, were controlled in the experiment. It was hypothesized that the lower the mean and the lesser the range (ambiguity) of the perceived audit probability, the greater the international noncompliance. As hypothesized, the analysis indicates that both the mean and the range of the perceived audit probability rate affect intentional noncompliance, though the effect of ambiguity is greater at a relatively higher level of mean. This result suggests that the strength of the information describing an uncertain event is captured better by both the mean and the range of the uncertainty than either of those components singly.     

Feminized cultural capital at work in the moral economy: Home credit and working-class women

One of the defining features of the home credit sector is the role played by its agents—workers who act as intermediaries between lending companies and borrowers to facilitate lending and collect repayments. There is a prevailing and pervasive narrative in the sector that women make superior agents, largely based on the belief that female agents can manage relationships with borrowers more successfully than their male counterparts. This article analyzes data from 349,078 home credit accounts (loans), as well as 71 interviews with home credit agents and lending company managers, to evaluate both the myths and realities of women's roles in home credit. The data is also used to explore the opportunities for—and potential constraints on—women's career progression in home credit work, based on an understanding of the moral economy in which they operate. By exploring the moral economy of low-income communities, the article highlights the role of working-class women's cultural capital within the labor market. Despite women forming the majority of the agent workforce in home credit, women's capital is undervalued in comparison with their male counterparts' capital. The analysis within this article allows a greater understanding of the highly classed and gendered nature of the moral economy of low-income communities and the exchange value of women's capital within the labor market.