The Familial Socialization of Culturally Related Values in Mexican American Families

Research has documented a relation between parents' ethnic socialization and youth's ethnic identity, yet there has been little research examining the transmission of cultural values from parents to their children through ethnic socialization and ethnic identity. This study examines a prospective model in which mothers' and fathers' Mexican American values and ethnic socialization efforts are linked to their children's ethnic identity and Mexican American values, in a sample of 750 families (including 467 two-parent families) from an ongoing longitudinal study of Mexican American families (Roosa, Liu, Torres, Gonzales, Knight, & Saenz, 2008). Findings indicated that the socialization of Mexican American values was primarily a function of mothers' Mexican American values and ethnic socialization, and that mothers' Mexican American values were longitudinally related to children's Mexican American values. Finally, these associations were consistent across gender and nativity groups.     

An Overview of a Multimedia Benchmarking Analysis for Three Risk Assessment Models: RESRAD, MMSOILS, and MEPAS

Multimedia modelers from the United States Environmental Protection Agency (EPA) and the United States Department of Energy (DOE) collaborated to conduct a detailed and quantitative benchmarking analysis of three multimedia models. The three models—RESRAD (DOE), MMSOILS (EPA), and MEPAS (DOE)—represent analytically-based tools that are used by the respective agencies for performing human exposure and health risk assessments. The study is performed by individuals who participate directly in the ongoing design, development, and application of the models. Model form and function are compared by applying the models to a series of hypothetical problems, first isolating individual modules (e.g., atmospheric, surface water, groundwater) and then simulating multimedia-based risk resulting from contaminant release from a single source to multiple environmental media. Study results show that the models differ with respect to environmental processes included (i.e., model features) and the mathematical formulation and assumptions related to the implementation of solutions. Depending on the application, numerical estimates resulting from the models may vary over several orders-of-magnitude. On the other hand, two or more differences may offset each other such that model predictions are virtually equal. The conclusion from these results is that multimedia models are complex due to the integration of the many components of a risk assessment and this complexity must be fully appreciated during each step of the modeling process (i.e., model selection, problem conceptualization, model application, and interpretation of results).     

An exploration of older Hong Kong residents’ willingness to make copayments toward vouchers for community care

Because of its rapidly aging population, Hong Kong faces great challenges in the provision and financing of long-term care (LTC) and needs to explore sustainable funding mechanisms. However, there is a paucity of research on older people’s willingness to pay (WTP) for LTC services in Hong Kong. This study utilizes data collected in Hong Kong in 2011 (N = 536) to investigate older people’s receptivity to this financing mode by assessing their co-payments for a community care service voucher scheme and then testing how potential factors affect respondents’ amount of co-payment. Results show that respondents’ WTP was positively associated with family financial support, financial condition, and positive attitudes toward this novel policy and negatively associated with family caregiving support. Direct and moderating effects of family financial support on WTP were found. The policy-related implications of LTC financing to improve older people’s acceptance of co-payment mechanisms, financial condition, and shared responsibility of care are discussed.     

Latent Variable Models in Heterogeneous Spaces for Observations of Mixed Types

The maximum likelihood approach to the estimation of factor analytic model parameters most commonly deals with outcomes that are assumed to be multivariate Gaussian random variables in a homogeneous input space. In many practical settings, however, many studies needing factor analytic modeling involve data that, not only are not multivariate Gaussian variables, but also come from a partitioned input space. This article introduces an extension of the maximum likelihood factor analysis that handles multivariate outcomes made up of attributes with different probability distributions, and originating from a partitioned input space. An EM Algorithm combined with Fisher Scoring is used to estimate the parameters of the derived model.     

Questions & Answeres: Reflections on Forecasting

Dedicated to the late Professor J. B. S. Haldane who brought to my attention the following very significant story from the ancient Indian epic Mahabharat (Nala—Damayanti Akhy[abar]n): The king lost his way in a jungle and was required to spend the night in a tree. The next day he told some fellow traveller that the total number of leaves on the tree were “so many”. On being challenged as to whether he counted all the leaves he replied; “No, but I counted leaves on a few branches of the tree and I know the science of die throwing”. (I can vouch for accurateness of the reproduction only in the essential respects.)     

The motor freight industry—A case against planning

Data from 298 motor carrier firms were analyzed to determine the nature of the strategic planning function in that industry and the relationship between planning, organization size and economic performance. Generally, motor carriers were found to perform similarly irrespective of their size or commitment to strategic planning. A number of factors are suggested to explain this phenomenon.