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.     

Bayesian Binomial Regression: Predicting Survival at a Trauma Center

Standard methods for analyzing binomial regression data rely on asymptotic inferences. Bayesian methods can be performed using simple computations, and they apply for any sample size. We provide a relatively complete discussion of Bayesian inferences for binomial regression with emphasis on inferences for the probability of “success.” Furthermore, we illustrate diagnostic tools, perform model selection among nonnested models, and examine the sensitivity of the Bayesian methods.     

THE BASIC SKILLS EVALUATION DEVICE

The Commission on Accreditation for Marriage and Family Therapy Education (COAMFTE) requires that accredited programs evaluate trainees' clinical skills at various times during trainees' programs. The Commission does not attempt, however, to describe for programs eigher the nature of the skills nor how they are to be evaluated, leaving this to the programs to create. This paper describes the development and uses of the Basic Skills Evaluation Device (BSED). Using a published list of skills (Figley & Nelson, 1989), data from the literature, and data collected from COAMFTE accredited and candidacy programs, the authors and their colleagues developed a device for supervisors to use in evaluating beginning family therapists. Data regarding the reliability of the device presented, along with limitations and suggestions for various ways of using the device.     

Differences in Caregiver Self-Efficacy and Satisfaction Related to Sexual Abuse of Offspring

Research suggests parents of sexually abused children may experience negative perceptions of themselves and their parenting abilities following the victimization of their children, which may influence the recovery process in treatment for these families. This study assessed perceived self-efficacy and parenting satisfaction among female caregivers of sexually abused children and female caregivers whose children were not victimized. Results indicated that caregivers of child victims had significantly lower levels of perceived parenting efficacy than their counterparts. There were no significant differences found between groups with regard to parenting satisfaction. The results highlight the importance of evaluating perceived parenting competence in the treatment of nonoffending caregivers in order to facilitate optimal treatment of the child victim and all members of the family system.     

Policymakers' Use of Social Science Research: Looking Within and Across Policy Actors

Evidence‐informed policy creates the conditions for families to perform the functions they provide for their members and society. To increase research utilization in policymaking, we must better understand policymakers and the professional and institutional cultures in which they operate. This exploratory cluster analysis examined within‐group differences in valuing, seeking, and use of social science research among 68 legislative staffers and 56 high‐ranking officials from 8 family‐serving executive agencies in Wisconsin. The findings are compared with a parallel study of 109 legislators from New York and Wisconsin. Among all 3 policy actors, a substantial proportion highly value research, actively seek it, and frequently use it in policy decisions; these Enthusiastic High Users of research are more attuned to political considerations compared to other clusters. Enthusiastic High Users in the legislative institution place a higher priority on innovative and action‐oriented research, whereas those in the agency institution prioritize the quality of research.     

Reviews

Abstract

The chronological entries in Weblogs or blogs record musings, opinions, news or other information supplied by individuals or groups. The nature of blogs is ephemeral in that the content is closely tied to the time period of the posting. The author examines the library and information science blogs listed on Susan Herzog’s “BlogBib: Select Librarian/Library Blogs” to see if they were being updated thirteen months after Herzog stopped maintaining the Web site.¹ Active, inactive, ceased, and blogs with changed URLs were recorded. Extra content was noted.     

Errors in inspection and grading distributional aspects ofscreening and merarchal screening

Continuing the studies of Johnson et al (1980) and Johnson and Kotz (1981), further distributions arising from models of errors in inspection and grading of samples from finite, possibly stratified lots are obtained. Screening, and hierarchal screening forms of inspection are also considered, and the effects of errors on the advantages of these techniques assessed.     

A tutorial on rank-based coefficient estimation for censored data in small- and large-scale problems

The analysis of survival endpoints subject to right-censoring is an important research area in statistics, particularly among econometricians and biostatisticians. The two most popular semiparametric models are the proportional hazards model and the accelerated failure time (AFT) model. Rank-based estimation in the AFT model is computationally challenging due to optimization of a non-smooth loss function. Previous work has shown that rank-based estimators may be written as solutions to linear programming (LP) problems. However, the size of the LP problem is O(n ²+p) subject to n ² linear constraints, where n denotes sample size and p denotes the dimension of parameters. As n and/or p increases, the feasibility of such solution in practice becomes questionable. Among data mining and statistical learning enthusiasts, there is interest in extending ordinary regression coefficient estimators for low-dimensions into high-dimensional data mining tools through regularization. Applying this recipe to rank-based coefficient estimators leads to formidable optimization problems which may be avoided through smooth approximations to non-smooth functions. We review smooth approximations and quasi-Newton methods for rank-based estimation in AFT models. The computational cost of our method is substantially smaller than the corresponding LP problem and can be applied to small- or large-scale problems similarly. The algorithm described here allows one to couple rank-based estimation for censored data with virtually any regularization and is exemplified through four case studies.     

Race,Rural Residence,and Wildland Visitation: Examining the Influence of Sociocultural Meaning1

Abstract Previous studies have shown that African Americans have less favorable impressions about wildlands and recreate on wildland areas less frequently than do whites. However, most of these investigations have been conducted on non-rural populations. Rural perceptions of wildlands and visitation to such areas have received relatively little attention. In this exploratory study, we propose that race operates on wildland recreation visitation through the different meanings rural blacks and whites attribute to wildlands. We examine this hypothesis with a structural model which specifies wildland meaning as an intervening factor between race and visitation. Single equation results show blacks visit wildlands less, and have less favorable definitions of wildlands, compared to whites. However, when wildland meaning is included in the structural model, racial differences become insignificant. This suggests that the meanings different racial groups attach to wildlands help explain visitation. Both sex and age are also significant predictors of both wildland meaning and visitation.