Self-Regulatory Driving Behaviors: Gender and Transportation Support Effects

This study examined the relationship between transportation support and self-regulatory driving behaviors of 566 community-dwelling older adults living in retirement communities, with a focus on gender differences. The results of logistic regression analysis showed that older women were more likely to avoid driving at night or on the highway than their male counterparts. Transportation support from peer friends was found to increase the likelihood of self-regulatory driving behaviors. The findings of this study imply that transportation policy and driving safety programs for older adults need to be developed, considering available transportation alternatives and gender differences in driving behaviors.     

A comparison of efficient approximations for a weighted sum of chi-squared random variables

In many applications, the cumulative distribution function (cdf) \(F_{Q_N}\) of a positively weighted sum of N i.i.d. chi-squared random variables \(Q_N\) is required. Although there is no known closed-form solution for \(F_{Q_N}\), there are many good approximations. When computational efficiency is not an issue, Imhof’s method provides a good solution. However, when both the accuracy of the approximation and the speed of its computation are a concern, there is no clear preferred choice. Previous comparisons between approximate methods could be considered insufficient. Furthermore, in streaming data applications where the computation needs to be both sequential and efficient, only a few of the available methods may be suitable. Streaming data problems are becoming ubiquitous and provide the motivation for this paper. We develop a framework to enable a much more extensive comparison between approximate methods for computing the cdf of weighted sums of an arbitrary random variable. Utilising this framework, a new and comprehensive analysis of four efficient approximate methods for computing \(F_{Q_N}\) is performed. This analysis procedure is much more thorough and statistically valid than previous approaches described in the literature. A surprising result of this analysis is that the accuracy of these approximate methods increases with N.     

A Comparative Study of Child Abuse Risk Assessment in the United States and Korea

The perceptions and judgments of social workers who interview the child and family are especially significant factors in child abuse assessment process. The current study describes and compares child protection workers’ assessment processes in Korea and the USA through the use of case vignettes and in‐depth interview. The responses from social workers in these two countries were compared and discussed in the areas of: risk assessment; perception of the main problems; tolerance of corporal punishment; and judgments about appropriateness of interventions. Most revealing was that Korean social workers determined abuse based on their child abuse definition and the US Army FAP social workers determined abuse based on their definition, which was affected by legal standards and cultural differences. Korean social workers are more likely to remove a child from the home, even in mild cases, but US FAP social workers would recommend child removal from the home as a last option. The social workers that participated in this survey play a vital role in the safety of children in child protective services. Both countries can benefit from sharing information to improve the child protection services delivered. Social workers' professional judgment leads to objective and consistent outcomes and are less likely to compromise child safety in the decision making process.     

Predicting pickle harvests using a parametric feedforward neural network

Feedforward networks have demonstrated their ability to model non-linear data. Despite this success, their use as a statistical analysis tool has been limited by the persistent assumption that these networks can only be implemented as non-parametric models. In fact, a feedforward network can be used for parametric modeling, with the result that many of the common parametric testing procedures can be applied to the nonlinear network. In this paper, a feedforward network for predicting the biological growth rate of pickles is developed. Using this network, the parametric nature of the network is demonstrated. Once trained, the network model is tested using standard parametric methods. In order to facilitate this testing, it is first necessary to develop a method for calculating the degrees of freedom for the neural network, and the residual covariance matrix. It is shown that the degrees of freedom is determined by the number of parameters that actually contribute to an output. With this information, the covariance matrix can be created by adapting the error matrix. Using these results, the trained network is tested using a simple F-statistic.     

Interventions with men who are violent to their partners: strategies for early engagement

Practitioners who view intimate partner violence as a set of strategies aimed at maintaining positions of power and privilege often face an engagement dilemma when men at their first contact talk of themselves as disempowered by circumstances such as separation, loss of access to children, legal problems, substance abuse issues, and their own history of being abused. This paper explores how a language-oriented approach to violence can assist practitioners in responding to abuser's current perceptions while avoiding collusion with justifications for violence. It examines common ways of speaking that men will employ to justify their violence then explores practical ways to identify and neutralized these messages before exploring personal opportunities for change.     

Financial Abuse of Older People by a Family Member: A Difficult Terrain for Service Providers in Australia

Financial abuse by a family member is the most common form of abuse experienced by older Australians, and early intervention is required. National online surveys of 228 chief executive officers and 214 aged care service providers found that, while they were well placed to recognize financial abuse, it was often difficult to intervene successfully. Problems providers encountered included difficulties in detecting abuse, the need for consent before they could take action, the risk that the abusive family member would withdraw the client from the service, and a lack of resources to deal with the complexities inherent in situations of financial abuse.     

Sustainability‐oriented Innovation: A Systematic Review

This paper is intended as a contribution to the ongoing conceptual development of sustainability‐oriented innovation (SOI) and provides initial guidance on becoming and being sustainable. The authors organize and integrate the diverse body of empirical literature relating to SOI and, in doing so, develop a synthesized conceptual framework onto which SOI practices and processes can be mapped. Sustainability‐oriented innovation involves making intentional changes to an organization's philosophy and values, as well as to its products, processes or practices to serve the specific purpose of creating and realizing social and environmental value in addition to economic returns. A critical reading of previous literature relating to environmental management and sustainability reveals how little attention has been paid to SOI, and what exists is only partial. In a review of 100 scholarly articles and 27 grey sources drawn from the period of the three Earth Summits (1992, 2002 and 2012), the authors address four specific deficiencies that have given rise to these limitations: the meaning of SOI; how it has been conceptualized; its treatment as a dichotomous phenomenon; and a general failure to reflect more contemporary practices. The authors adopt a framework synthesis approach involving first constructing an initial architecture of the landscape grounded in previous studies, which is subsequently iteratively tested, shaped, refined and reinforced into a model of SOI with data drawn from included studies: so advancing theoretical development in the field of SOI.     

Family and neighborhood welfare dependency and sons' labor supply

This article tests four models of how parental and childhood welfare use affects sons' labor supply: the correlated disadvantages model, Wilson's structural-environmental model, Mead's welfare culture model, and Murray's incentives model. Past research is extended by including measures of all seven factors that these models predict will shape sons' labor supply: parental welfare use, neighborhood welfare use, parental income, family noneconomic resources, neighborhood resources, labor market conditions, and state welfare benefits. There are four main findings. First, welfare use in the childhood neighborhood has no effects on sons' work hours. Second, only one group of sons is affected by parental welfare use: black sons' whose parents average $7,500 or more in welfare income per year. Third, black sons' adult work hours are strongly predicted by parental poverty and by labor market conditions; together these account for half the estimated relationships between heavy parental welfare use and black sons' labor supply. Fourth, parents' and neighbors' work hours strongly predict nonblack sons' labor supply. This research was supported by Assistant Secretary for Planning and Evaluation, Department of Health and Human Services, by the Rockefeller Foundation, and by the Office of the Vice-President for Research at the University of Michigan. We are grateful to John Bound, Sheldon Danziger, Greg Duncan, Martha Hill, and an anoymous reviewer for helpful comments and advice, to Marguerite Grabarek and James Kunz for programming, and most of all to Wendy Niemi for her patient, accurate, and efficient typing. Her research interests include poverty, social stratification, and labor economics. His research interests include rural poverty, poverty neighborhoods, and intergenerational poverty.