Quantitative Risk Assessment of the New York State Operated West Valley Radioactive Waste Disposal Area

This article is based on a quantitative risk assessment (QRA) that was performed on a radioactive waste disposal area within the Western New York Nuclear Service Center in western New York State. The QRA results were instrumental in the decision by the New York State Energy Research and Development Authority to support a strategy of in‐place management of the disposal area for another decade. The QRA methodology adopted for this first of a kind application was a scenario‐based approach in the framework of the triplet definition of risk (scenarios, likelihoods, consequences). The measure of risk is the frequency of occurrence of different levels of radiation dose to humans at prescribed locations. The risk from each scenario is determined by (1) the frequency of disruptive events or natural processes that cause a release of radioactive materials from the disposal area; (2) the physical form, quantity, and radionuclide content of the material that is released during each scenario; (3) distribution, dilution, and deposition of the released materials throughout the environment surrounding the disposal area; and (4) public exposure to the distributed material and the accumulated radiation dose from that exposure. The risks of the individual scenarios are assembled into a representation of the risk from the disposal area. In addition to quantifying the total risk to the public, the analysis ranks the importance of each contributing scenario, which facilitates taking corrective actions and implementing effective risk management. Perhaps most importantly, quantification of the uncertainties is an intrinsic part of the risk results. This approach to safety analysis has demonstrated many advantages of applying QRA principles to assessing the risk of facilities involving hazardous materials.     

A cumulative ecological–transactional risk model of child maltreatment and behavioral outcomes: Reconceptualizing early maltreatment report as risk factor

The current analysis was designed to critically examine the tendency to focus on child maltreatment as a unique risk factor and test the resulting assumption of a direct causal relationship between early maltreatment and later behavioral problems. The variation seen in behavioral outcomes among children reported for maltreatment early in life led us to hypothesize that the cumulative level of risk facing children and their families can, at least in part, account for that variation in outcome. Participants were 242 mothers of predominantly at-risk newborn infants who were interviewed shortly after giving birth. The State Central Registry of Maltreatment was then reviewed over each child's first four years of life to assess for early maltreatment. Following the neonatal interviews, mothers completed the Child Behavior Checklist when their children were 4, 6, 8, 10 and 12 years-of-age. Although early maltreatment report does appear to be important to early child functioning, the cumulative level of risk more strongly predicts long-term clinical behavioral difficulty. High-risk children who were not reported for maltreatment by age 4 demonstrate greater behavioral problem trajectories than did low-risk children with a maltreatment report. Maltreatment itself may be best conceptualized as an important, but not singularly so, risk factor for later behavioral problems. In focusing directly on reported maltreatment, our child protective systems may be paying too little attention to what else is going wrong in the lives of children and targeting intervention efforts in the wrong direction. When it comes to early maltreatment our child protective policy and practice need to broaden their lenses to include greater emphasis on overall family functioning, stress and well-being. Early maltreatment, it seems, may be a symptom of more profound problems in the early environments of our most vulnerable children, rather than the problem itself.     

Acculturation,Ethnicity, and Air Pollution Perceptions

A globalizing world increases immigration between nations, raising the question of how acculturation (or its lack) of immigrants and their descendants to host societies affects risk perceptions. A survey of Paterson, New Jersey, residents tested acculturation's associations with attitudes to air pollution and its management, and knowledge of and self‐reported behaviors concerning air pollution. Linguistic and temporal proxy measures for acculturation were independent variables along with ethnicity, plus controls for gender, age, education, and income in multivariate analyses. About one‐fifth of contrasts between non‐Hispanic whites, non‐Hispanic blacks, English‐interviewed Hispanics, and Spanish‐interviewed Hispanics were statistically significant (Bonferroni‐corrected) and of medium or higher affect size, with most featuring the Spanish‐interviewed Hispanics. Knowledge variables featured the most significant differences. Specifically, Spanish‐interviewed Hispanics reported less concern, familiarity with pollution, recognition of high pollution, and vigorous outdoor activity, and greater belief that government overregulates pollution than English‐interviewed Hispanics (and than the other two groups on most of these variables too). English‐interviewed Hispanics did not differ from non‐Hispanic whites, but did on several variables from non‐Hispanic blacks. Temporal proxies of acculturation among the foreign‐born were far less significant, but concern and familiarity with air pollution increased with time spent in the United States, while belief in overregulation and a positive trend in New Jersey pollution increased with time in the nation of origin. Implications of these acculturation and ethnicity findings for risk perception/communication research and practice are discussed.     

The Development of a Student-Run Ambulance

Abstract

Abortion decisions have a potentially meaningful effect on the lives of men. Previous research suggests that both men and women generally believe that men have the right to be involved in such decisions. However, very little research attention has been devoted to identifying individual difference correlates of discrepant levels of endorsement for male involvement in abortion decisions. The extent to which abortion attitudes (on a pro-choice to pro-life continuum), conceptualization of abortion as strictly a female issue, and interest in the issue operate as effective predictors of the appropriate level of male involvement in abortion decisions was examined in a sample of 1,387 college students. Results of a multiple regression analysis revealed that 44% of the variance in male involvement scores was explained by the predictor variables.     

The Impact of the Earned Income Tax Credit on Economic Well-Being: A Comparison Across Household Types

Using survey data from Earned Income Tax Credit (EITC) recipients in Madison County, New York, we evaluate the effectiveness of the EITC in improving the economic well-being of low-income households. In particular, we examine the impact of the EITC across household types. For tax years 2002 through 2004, we find that the EITC is responsible for significantly lowering the poverty rate of EITC recipients, from 57 to 49%. In fact, for households below the poverty line, the EITC fills 31% of the gap between their adjusted gross income and the poverty line. The EITC has the largest impact on single parent households, lowering their poverty rate by 11.2 percentage points and reducing their poverty gap by almost 35%. However, the EITC has negligible effects on the poorest households in the sample—childless singles. A majority (64%) of EITC recipients intends to use at least some of the refund on basic needs and almost half plan on using part of their refund for debt repayment. This suggests that the EITC helps the majority of recipients get by but does not increase their economic mobility. Somewhat surprisingly, single parent households in the sample are not that different from married parent households in terms of EITC amounts, poverty rates, use of credit, and participation in government programs, despite earning less.     

Detection of outliers in simple circular regression models using the mean circular error statistic

The investigation on the identification of outliers in linear regression models can be extended to those for circular regression case. In this paper, we propose a new numerical statistic called mean circular error to identify possible outliers in circular regression models by using a row deletion approach. Through intensive simulation studies, the cut-off points of the statistic are obtained and its power of performance investigated. It is found that the performance improves as the concentration parameter of circular residuals becomes larger or the sample size becomes smaller. As an illustration, the statistic is applied to a wind direction data set.     

The Role of Organizational Size and Industry in Job Quality and Work-Family Relationships

In this study we update analyses of the 1977 QES (Zipp, 1991) using data from the 1997 National Study of the Changing Workforce. We use hierarchical linear modeling procedures to partition the variance in a wide variety of indicators of workers' experiences. Most variation was associated with the individual level of analysis, but significant and nontrivial variation also was associated with the organizational and industrial levels. Although workers in smaller organizations reported lower earnings, fewer benefits, and less education than their counterparts in larger organizations, they also reported experiencing less discrimination, better fit between their actual and desired work hours, more supportive work environments and loyalty to their employers, less burnout or interference between work and family, and shorter commute times.     

A managerial approach to environmental assessment

The external environment of a corporation is one of the major determinants of its strategy. While this view is readily accepted, the tools to monitor this important determinant are still relatively underdeveloped. The authors have developed a managerial process which fills this gap by enabling an organization to assess its external environment effectively and economically. The approach helps executives identify major forces for strategic change in the market and non-market dimensions of the environment. The relevance of these changes is determined by measuring their impact on the mission and the strategies of the company. The process, furthermore, provides a starting point for assessing an organization's capabilities to respond to these forces for change.     

Cross-country determinants of life satisfaction: exploring different determinants across groups in society

This paper explores a wide range of cross-country determinants of life satisfaction exploiting a database of 90,000 observations in 70 countries. We distinguish four groups of aggregate variables as potential determinants of satisfaction: political, economic, institutional, and human development and culture. We use ordered probit to investigate the importance of these variables on individual life satisfaction and test the robustness of our results with Extreme Bounds Analysis. The results show that only a small number of factors, such as openness, business climate, postcommunism, the number of chambers in parliament, Christian majority, and infant mortality, robustly influence life satisfaction across countries while the importance of many variables suggested in the previous literature is not confirmed. This remains largely true when the analysis splits national populations according to gender, income, and political orientation also. We thank Stephen Lea, participants at the 30th IAREP conference in Prague and the referees of this journal for comments on earlier versions. Gilles Winkler provided excellent research assistance.