Ethnic–Racial Socialization in the Family: A Decade's Advance on Precursors and Outcomes

In the current decade, the U.S. population reached historically high levels of ethnic–racial diversity and reelected the nation's first Black–White biracial President. Simultaneously, scholars also documented significant ethnic–racial inequities in education, increased xenophobia, and a racial climate that revealed deep-seated ethnic–racial tensions. Given this backdrop and acknowledging the significant role that families play in youths' abilities to navigate their social contexts, the current review focused on the literature on families' ethnic–racial socialization efforts with youth from the 2010 decade. Our review of 259 empirical articles revealed that there has been an exponential increase in research on family ethnic–racial socialization in this decade. Furthermore, although it is clear that family ethnic–racial socialization is a robust predictor of youths' adjustment, the associations between socialization and adjustment must be considered with attention to specific socialization strategies, the confluence of strategies used, and the unique contexts within which families' lives are embedded.     

Building a Values‐Informed Mental Model for New Orleans Climate Risk Management

Individuals use values to frame their beliefs and simplify their understanding when confronted with complex and uncertain situations. The high complexity and deep uncertainty involved in climate risk management (CRM) lead to individuals’ values likely being coupled to and contributing to their understanding of specific climate risk factors and management strategies. Most mental model approaches, however, which are commonly used to inform our understanding of people's beliefs, ignore values. In response, we developed a “Values‐informed Mental Model” research approach, or ViMM, to elicit individuals’ values alongside their beliefs and determine which values people use to understand and assess specific climate risk factors and CRM strategies. Our results show that participants consistently used one of three values to frame their understanding of risk factors and CRM strategies in New Orleans: (1) fostering a healthy economy, wealth, and job creation, (2) protecting and promoting healthy ecosystems and biodiversity, and (3) preserving New Orleans’ unique culture, traditions, and historically significant neighborhoods. While the first value frame is common in analyses of CRM strategies, the latter two are often ignored, despite their mirroring commonly accepted pillars of sustainability. Other values like distributive justice and fairness were prioritized differently depending on the risk factor or strategy being discussed. These results suggest that the ViMM method could be a critical first step in CRM decision‐support processes and may encourage adoption of CRM strategies more in line with stakeholders’ values.     

Linking Decision Theory and Quantitative Microbial Risk Assessment: Tradeoffs Between Compliance and Efficacy for Waterborne Disease Interventions

Achieving health gains from the U.N. Sustainable Development Goals of universal coverage for water and sanitation will require interventions that can be widely adopted and maintained. Effectiveness—how an intervention performs based on actual use—as opposed to efficacy will therefore be central to evaluations of new and existing interventions. Incomplete compliance—when people do not always use the intervention and are therefore exposed to contamination—is thought to be responsible for the lower‐than‐expected risk reductions observed from water, sanitation, and hygiene interventions based on their efficacy at removing pathogens. We explicitly incorporated decision theory into a quantitative microbial risk assessment model. Specifically, we assume that the usability of household water treatment (HWT) devices (filters and chlorine) decreases as they become more efficacious due to issues such as taste or flow rates. Simulations were run to examine the tradeoff between device efficacy and usability. For most situations, HWT interventions that trade lower efficacy (i.e., remove less pathogens) for higher compliance (i.e., better usability) contribute substantial reductions in diarrheal disease risk compared to devices meeting current World Health Organization efficacy guidelines. Recommendations that take into account both the behavioral and microbiological properties of treatment devices are likely to be more effective at reducing the burden of diarrheal disease than current standards that only consider efficacy.     

Re‐examining the Glass Cliff Hypothesis using Survival Analysis: The Case of Female CEO Tenure

We use the glass cliff to study the appointment and employment duration of 193 female CEOs between 1992 and 2014 in a sample of large, small and mid‐size North American firms. Consistent with the glass cliff, we find that women are appointed as CEOs in precarious situations. However, we find female CEOs are 40% less likely to face turnover at any point after appointment than male CEOs. This conflicts with an implication of the glass cliff and differs significantly from existing research which shows that female CEOs have only a slightly lower risk of turnover than male CEOs. Our larger, more recent sample captures changes in the labour market that explain the departure from the results of earlier studies. We find evidence that the lower turnover rate of female CEOs is related to firms’ desire to avoid the negative publicity that would accompany their termination, and we also show that greater education has a positive impact on CEO job security.     

Who Lives Near Coke Plants and Oil Refineries? An Exploration of the Environmental Inequity Hypothesis

Facility-specific information on pollution was obtained for 36 coke plants and 46 oil refineries in the United States and matched with information on populations surrounding these 82 facilities. These data were analyzed to determine whether environmental inequities were present, whether they were more economic or racial in nature, and whether the racial composition of nearby communities has changed significantly since plants began operations.The Census tracts near coke plants have a disproportionate share of poor and nonwhite residents. Multivariate analyses suggest that existing inequities are primarily economic in nature. The findings for oil refineries are not strongly supportive of the environmental inequity hypothesis. Rank ordering of facilities by race, poverty, and pollution produces limited (although not consistent) evidence that the more risky facilities tend to be operating in communities with above-median proportions of nonwhite residents (near coke plants) and Hispanic residents (near oil refineries). Over time, the racial makeup of many communities near facilities has changed significantly, particularly in the case of coke plants sited in the early 1900s. Further risk-oriented studies of multiple manufacturing facilities in various industrial sectors of the economy are recommended.The authors are all affiliated with the Harvard Center for Risk Analysis     

Data envelopment analysis in the presence of measurement error: case study from the National Database of Nursing Quality Indicators® (NDNQI®)

Data envelopment analysis (DEA) is the most commonly used approach for evaluating healthcare efficiency [B. Hollingsworth, The measurement of efficiency and productivity of health care delivery. Health Economics 17(10) (2008), pp. 1107–1128], but a long-standing concern is that DEA assumes that data are measured without error. This is quite unlikely, and DEA and other efficiency analysis techniques may yield biased efficiency estimates if it is not realized [B.J. Gajewski, R. Lee, M. Bott, U. Piamjariyakul, and R.L. Taunton, On estimating the distribution of data envelopment analysis efficiency scores: an application to nursing homes’ care planning process. Journal of Applied Statistics 36(9) (2009), pp. 933–944; J. Ruggiero, Data envelopment analysis with stochastic data. Journal of the Operational Research Society 55 (2004), pp. 1008–1012]. We propose to address measurement error systematically using a Bayesian method (Bayesian DEA). We will apply Bayesian DEA to data from the National Database of Nursing Quality Indicators^® to estimate nursing units’ efficiency. Several external reliability studies inform the posterior distribution of the measurement error on the DEA variables. We will discuss the case of generalizing the approach to situations where an external reliability study is not feasible.     

A further examination of antecedents of correctional staff life satisfaction

Working in corrections is not only a demanding job, but a socially important one. While a growing number of studies have examined how the work environment impacts the job stress, job satisfaction, and organizational commitment of staff, very few studies have examined how working in corrections impacts the life satisfaction of workers. The current study utilized OLS regression to examine the antecedents of life satisfaction among staff at a Midwestern private prison. Job satisfaction had a positive relationship with life satisfaction, while age, work on family conflict, family on work conflict, and job involvement all had statistically significant negative effects. Finally, perceptions of the level of financial rewards, job stress, organizational commitment, gender, race, educational level, tenure, supervisory status, position, marital status, and having children, all had non-significant associations with overall satisfaction with life.     

Self-employment and economic leadership as two promising perspectives on rural disability and work

A defining difference between rural and urban circumstances for people with disabilities involves opportunities for work. One of the most significant elements of the rural context is that economic conditions in rural communities consistently trail the national economy. This paper presents an overview of disability in rural America and outlines an ecological model for guiding the development of rural solutions to rehabilitation problems. Two promising examples of such solutions, self-employment as a rural vocational rehabilitation employment option and rural economic leadership by people with disabilities, are outlined.     

How useful is the term "Cumulative Trauma Disorder"?

Cumulative trauma disorder is a widely accepted construct that refers to illnesses of the soft tissues which supposedly occur due to biomechanical workplace risk factors. However, is the term "cumulative trauma disorder" a useful term for describing the illness attributed to it? This paper will scrutinize this question by specifying the meaning of "cumulative trauma disorder" and examining this construct to see if the belief in it is justified, and if this belief is leading to the elucidation of the phenomenon it is purporting to notate. Anomalous findings will be identified and used to help evaluate the accuracy of the belief system currently surrounding the term. Finally the ability of the construct "cumulative trauma disorder" to provide an adequate foundation for research in this area will be explored. A model of alternate pathomechanisms for this illness is advanced to provide a method of studying the disorders associated with the term.