A Telephone Intervention for Substance-Using Adult Male Perpetrators of Intimate Partner Violence

OBJECTIVE: To preliminarily evaluate telephone-delivered motivational enhancement therapy (MET) in motivating unadjudicated and nontreatment seeking intimate partner violence (IPV) perpetrators, who also use substances, to self-refer into treatment. METHOD: 124 adult men were recruited via a multimedia marketing campaign and were randomly assigned to the intervention (MET) or comparison group following a baseline assessment. Participants in the MET condition received a personalized feedback report on their IPV and substance-use behaviors, consequences, and social norms beliefs. RESULTS: Results supported the likely effectiveness of MET in short-term reduction of IPV behavior, increasing motivation for treatment seeking, and changing perceived norms for IPV and substance abuse (SA). CONCLUSIONS: Applications for brief MET interventions to facilitate voluntary treatment entry among substance-using IPV perpetrators are discussed.     

Hierarchical Generalized Linear Models and Frailty Models with Bayesian Nonparametric Mixing

This paper proposes Bayesian nonparametric mixing for some well-known and popular models. The distribution of the observations is assumed to contain an unknown mixed effects term which includes a fixed effects term, a function of the observed covariates, and an additive or multiplicative random effects term. Typically these random effects are assumed to be independent of the observed covariates and independent and identically distributed from a distribution from some known parametric family. This assumption may be suspect if either there is interaction between observed covariates and unobserved covariates or the fixed effects predictor of observed covariates is misspecified. Another cause for concern might be simply that the covariates affect more than just the location of the mixed effects distribution. As a consequence the distribution of the random effects could be highly irregular in modality and skewness leaving parametric families unable to model the distribution adequately. This paper therefore proposes a Bayesian nonparametric prior for the random effects to capture possible deviances in modality and skewness and to explore the observed covariates' effect on the distribution of the mixed effects.     

A Bayesian nonparametric estimator based on left censored data

Summary This paper introduces a Bayesian nonparametric estimator for an unknown distribution function based on left censored observations. Hjort (1990)/Lo (1993) introduced Bayesian nonparametric estimators derived from beta/beta-neutral processes which allow for right censoring. These processes are taken as priors from the class ofneutral to the right processes (Doksum, 1974). The Kaplan-Meier nonparametric product limit estimator can be obtained from these Bayesian nonparametric estimators in the limiting case of a vague prior. The present paper introduces what can be seen as the correspondingleft beta/beta-neutral process prior which allow for left censoring. The Bayesian nonparametyric estimator is obtained as in the corresponding product limit estimator based on left censored data.     

Class,work and family in women's lives

Interviews with white, working professional and working class mothers suggest that these women share values about work, family and on-the-job sociality. Respondents draw from a common value system, and many of the statements voiced by one group are echoed in the other. Work and motherhood are important paths to the development of individual identity for both working class and professional women. Differences in jobs, however, lead to differences in the actualization of values in their lives. Professional women are pulled in two directions and face continuing dilemmas in balancing careers which extract strong commitments from them and the demands of motherhood. Working class women's jobs do not require the same intensity of commitment, and they find it easier to meet their families' demands on their time. But conceptualizing their work as meaningful becomes more difficult than it is for professional women. Sociality is the third area of concern. Women in this study emphasized sociality because it allowed them to complete their work more effectively. It also served expressive functions; some women made friends at work. Some de-emphasized sociality if it interfered with their work identities. The importance of sociality was not necessarily dependent upon respondents' class location.I would like to thank Harold Bershady, Charles Bosk, and Robin Leidner for their comments and encouragement during the research and writing of this project. I would also like to thank M. E. Hughes, several anonymous reviewers, andQualitative Sociology for their helpful comments on earlier version of this article.     

The effect of public policies on recent Swedish fertility behavior

In the literature the recent upsurge in period birth rates is seen as evidence of a pronatalist effect of Sweden's extensive social insurance programs. Yet, these explanations can not account for the downturn in birth rates in the 1970s, the delay in childbearing, and the constancy of cohort birth rates which characterize recent Swedish fertility behavior. To summarize the effect of Sweden's economic and policy environment on the observed fertility patterns, I use a neoclassical economic framework to develop the shadow price of fertility. Although strong simplifying assumptions are imposed, the estimated price series exhibit a negative relationship with period fertility rates and the change in the estimated relative prices of fertility over the life cycle lend modest support for the delayed childbearing.The first draft of this paper was written while I was a National Fellow at the Hoover Institution. The research was supported by grants number HD-19226 and HD-28685 from the National Institute of Child Health and Development. I thank Glen Cain, John Kerman, Tom MaCurdy, Duncan Thomas, Michael Tilkin, and seminar participants at University of Illinois, Hoover Institution, and University of Wisconsin for useful comments.     

The prevalence of problem and pathological gambling: A critical analysis

Prevalence of pathological gambling refers to the percentage of cases of pathological gambling occurring in the community at a given time. Prevalence studies conducted in different principalities throughout the world are reviewed, and it is found that none of them conforms to this definition of prevalence. The major error in all but the most recent surveys conducted is identified as the use of questions which ask whether gambling-related problems have ever occurred rather than whether they are currently occurring. This error will lead to an over-estimation of the prevalence of pathological gambling in society. The second major error identified in nearly all studies involves the accuracy of the screens being used to assess whether or not an individual is a pathological gambler. Concerns about the efficiency of the South Oaks Gambling Screen have not yet been satisfactorily resolved. None-the-less, the widespread use of the South Oaks Gambling Screen has made a valuable contribution to international comparisons of prevalence studies. Future work that explores the emerging relationship between levels of personal expenditure on gambling, types of gambling product and gambling-related problems are recommended.     

Productivity indices and survival rate estimates from MAPS,a continent-wide programme of constant-effort mist-netting in North America

The Monitoring Avian Productivity and Survivorship (MAPS) programme is a cooperative effort to provide annual regional indices of adult population size and post-fledging productivity and estimates of adult survival rates from data pooled from a network of constant-effort mist-netting stations across North America. This paper provides an overview of the field and analytical methods currently employed by MAPS, a discussion of the assumptions underlying the use of these techniques, and a discussion of the validity of some of these assumptions based on data gathered during the first 5 years (1989-1993) of the programme, during which time it grew from 17 to 227 stations. Ageand species-specific differences in dispersal characteristics are important factors affecting the usefulness of the indices of adult population size and productivity derived from MAPS data. The presence of transients, heterogeneous capture probabilities among stations, and the large sample sizes required by models to deal effectively with these two considerations are important factors affecting the accuracy and precision of survival rate estimates derived from MAPS data. Important results from the first 5 years of MAPS are: (1) indices of adult population size derived from MAPS mist-netting data correlated well with analogous indices derived from point-count data collected at MAPS stations; (2) annual changes in productivity indices generated by MAPS were similar to analogous changes documented by direct nest monitoring and were generally as expected when compared to annual changes in weather during the breeding season; and (3) a model using between-year recaptures in Cormack-Jolly-Seber (CJS) mark-recapture analyses to estimate the proportion of residents among unmarked birds was found, for most tropical-wintering species sampled, to provide a better fit with the available data and more realistic and precise estimates of annual survival rates of resident birds than did standard CJS mark-recapture analyses. A detailed review of the statistical characteristics of MAPS data and a thorough evaluation of the field and analytical methods used in the MAPS programme are currently under way.     

College student bereavement experience in a Christian university

As part of the National College Grief Study, college student bereavement experience was examined specifically in a Christian university climate. Sex, year in school, and closeness to the deceased were measured in terms of academic and mental health outcomes and resources utilized. Females reported more mental health problems when close to the deceased, and seniors were less likely than first year students to utilize personal support resources of family and religion. During close losses, students experienced more mental health problems and negative social outcomes, but they did not access more resources. Recommendations for university personnel and suggestions for further research are given.     

A new approach to investigating spatial variations of disease

Summary.  For rare diseases the observed disease count may exhibit extra Poisson variability, particularly in areas with low or sparse populations. Hence the variance of the estimates of disease risk, the standardized mortality ratios, may be highly unstable. This overdispersion must be taken into account otherwise subsequent maps based on standardized mortality ratios will be misleading and, rather than displaying the true spatial pattern of disease risk, the most extreme values will be highlighted. Neighbouring areas tend to exhibit spatial correlation as they may share more similarities than non-neighbouring areas. The need to address overdispersion and spatial correlation has led to the proposal of Bayesian approaches for smoothing estimates of disease risk. We propose a new model for investigating the spatial variation of disease risks in conjunction with an alternative specification for estimates of disease risk in geographical areas—the multivariate Poisson–gamma model. The main advantages of this new model lie in its simplicity and ability to account naturally for overdispersion and spatial auto-correlation. Exact expressions for important quantities such as expectations, variances and covariances can be easily derived.