In search of a new working class

This paper examines the contemporary “theory of the new middle class” in so far as it purports to be the definitive rejection of Marx' original theory of class dynamics. Dealing with the question of an adequate definition of the “middle class,” the paper pursues two themes. First, it addresses the increasingly common argument that the various social classes in modern American society have become effectively indistinguishable in matters of consciousness and social outlooks. Second, it concerns itself with the outlook of the new working class. Data based on the 1972 – 1976 NORC General Social Surveys is examined in an attempt to clarify these issues. Author's Note: An earlier version of this paper was read at the annual meetings of the Eastern Sociological Society in New York, March 19, 1977. Data were made available by the National Opinion Research Center, Roper Public Opinion Research Center, and the Survey Archive for the Social Sciences, whose assistance is gratefully acknowledged. I also thank the University Computing Center and the Social and Demographic Research Institute (both of the University of Massachusetts) for their contributions to the research. Finally, my thanks to Richard Hamilton for detailed comments on an earlier draft, to Marianne Pietras for assistance in the data analysis, and to the Thursday Night Nine for sharpening my interest in problems of class and class structure in industrial society. Analysis and conclusions, of course, are my responsibility.     

Casino gambling in private school and adjudicated youngsters: A survey of practices and related variables

This study provides additional information about casino gambling practices in two adolescent samples. Specifically, 109 adolescents from a religious high school and 84 adolescents from a juvenile detention facility in Las Vegas, Nevada were surveyed. Of these, 71 (36.8%) were found to gamble regularly (58 males, 13 females, mean age 15.9 years). Results indicated many similarities among the two groups. The overall sample appeared to have a strong affinity for casino gambling, were diverse in their practices and reasons for gambling, reported a variety of emotional and physiological behaviors when gambling, occasionally experienced problems from casino gambling, and had parents who generally approved and were aware of their children's gambling behavior. The accessibility and family-oriented nature of many new casinos may be responsible for these effects.The authors thank Nicole Giangregorio and Ned C. Silver for their assistance. Portions of this paper were presented at the meeting of the Rocky Mountain Psychological Association, Boulder, CO.     

Prevalence and Diagnostic Correlates of DSM-IV Pathological Gambling in Psychiatric Outpatients

Studies of the prevalence of pathological gambling (PG) in psychiatric and substance abusing patients suggest that the disorder is not rare. Most studies have been of substance abusers in treatment, and the rate of PG has been found to be several times higher than the rate found in community based epidemiological surveys. However, only one study has examined the prevalence of PG in a heterogeneous sample of patients, and this was a study of psychiatric inpatients. We are not aware of any prior study of the prevalence of PG in a psychiatric outpatient sample. In the present report from the Rhode Island Methods to Improve Diagnosis and Services (MIDAS) project we examined the current and lifetime prevalence of PG in 1,709 psychiatric outpatients interviewed with a semi-structured diagnostic interview that included a module to diagnose DSM-IV PG. Forty (2.3%) patients had a lifetime history of DSM-IV PG, all of whom had at least one other DSM-IV axis I disorder. Patients with PG had significantly more axis I disorders than patients without PG, and had significantly higher rates of bipolar disorder, social phobia, panic disorder with agoraphobia, alcohol use disorder, and other impulse control disorders. Possible reasons for the low prevalence of PG in our sample are discussed.     

Developing geriatric social work competencies for field education

Preparing social workers to effectively practice with the growing older population requires the identification of geriatric competencies for the profession. The John A. Hartford Geriatric Social Work Initiative provided the impetus and direction for a national strategy to improve the quality of preparation of geriatric social workers. The Geriatric Social Work Practicum Partnership Program (PPP) is the project with the Hartford Initiative that emphasizes field education. The Geriatric Social Work Education Consortium (GSWEC), one of the PPP programs, initiated the development of competencies for work with older adults. GSWEC utilized Geriatric Social Work White Papers and the pioneering work of the Council on Social Work Education's (CSWE) Strengthening Aging and Gerontology Education for Social Work's (SAGE-SW) comprehensive competency list as well as conducted focus groups locally to delineate key competencies for field education. The Coordinating Center for the PPP, located at the New York Academy of Medicine, led in collaboratively developing knowledge based skill competencies for geriatric social work across all 6 demonstration sites (11 universities). The competencies adopted across sites include skills in the following five major domains: values and ethics; assessment (individuals and families, aging services, programs and policies); practice and interventions (theory and knowledge in practice, individual and family, aging services, programs and practice) interdisciplinary collaboration; and evaluation and research. The identified competencies have proven effective in evaluating students (n = 190) pre- and post PPP field education. The implications for further development of competency driven education for geriatric social work are discussed.     

The impact of prison hospice: collaboration among social workers and other professionals in a criminal justice setting that promotes care for the dying

This study reports on a qualitative national telephone survey with coordinators of 14 prison hospice programs in 11 states. The rationale behind the survey was to learn about interdisciplinary collaboration between social work and criminal justice, using prison hospice as an exemplar of this collaboration. In addition to learning that all prison hospices in the study operate using an interdisciplinary team model and that most report high quality collaboration on the hospice team, the following additional five themes emerged: administrators and wardens are very supportive while correctional staff provides mixed support to team and program; greater collaboration with those outside prison hospice is critical; collaboration through prison hospice has a positive impact on dying prisoners; collaboration through prison hospice has a positive impact on prisoner volunteers; and, collaboration through prison hospice has a positive impact on the entire culture of the prison.     

Strategies for Addressing the Nursing Shortage: Coordinated Decision Making and Workforce Flexibility

In this article, we present strategies to help combat the U.S. nursing shortage. Key considerations include providing an attractive work schedule and work environment—critical issues for retaining existing nurses and attracting new nurses to the profession—while at the same time using the set of available nurses as effectively as possible. Based on these ideas, we develop a model that takes advantage of coordinated decision making when managing a flexible workforce. The model coordinates scheduling, schedule adjustment, and agency nurse decisions across various nurse labor pools, each of differing flexibility levels, capabilities, and costs, allowing a much more desirable schedule to be constructed. Our primary findings regarding coordinated decision making and how it can be used to help address the nursing shortage include (i) labor costs can be reduced substantially because, without coordination, labor costs on average are 16.3% higher based on an actual hospital setting, leading to the availability of additional funds for retaining and attracting nurses, (ii) simultaneous to this reduction in costs, more attractive schedules can be provided to the nurses in terms of less overtime and fewer undesirable shifts, and (iii) the use of agency nurses can help avoid overtime for permanent staff with only a 0.7% increase in staffing costs. In addition, we estimate the cost of the shortage for a typical U.S. hospital from a labor cost perspective and show how that cost can be reduced when managers coordinate.     

Spatial Cluster Detection for Longitudinal Outcomes Using Administrative Regions

This article proposes a new spatial cluster detection method for longitudinal outcomes that detects neighborhoods and regions with elevated rates of disease while controlling for individual level confounders. The proposed method, CumResPerm, utilizes cumulative geographic residuals through a permutation test to detect potential clusters which are defined as sets of administrative regions, such as a town or group of administrative regions. Previous cluster detection methods are not able to incorporate individual level data including covariate adjustment, while still being able to define potential clusters using informative neighborhood or town boundaries. Often, it is of interest to detect such spatial clusters because individuals residing in a town may have similar environmental exposures or socioeconomic backgrounds due to administrative reasons, such as zoning laws. Therefore, these boundaries can be very informative and more relevant than arbitrary clusters such as the standard circle or square. Application of the CumResPerm method will be illustrated by the Home Allergens and Asthma prospective cohort study analyzing the relationship between area or neighborhood residence and repeated measured outcome, occurrence of wheeze in the last six months, while taking into account mobile locations.     

Confidence Intervals for Univariate Impulse Responses With a Near Unit Root

This article proposes a method for constructing confidence intervals for the impulse response function of a univariate time series with a near unit root. These confidence intervals control coverage, whereas the existing techniques can all have coverage far below the nominal level. I apply the proposed method to several measures of U.S. aggregate output.