Transforming an MFT program: a model for enhancing diversity

Marriage and family therapy programs need to go beyond the typical practices of recruiting and retaining students of color. Marriage and family therapy educators must assume positions of leadership by transforming graduate programs to reflect a deep, active, systemic commitment to both diversity and social justice. In this article, we argue that it is through this type of transformation that programs become truly ready to support students of color and to prepare all therapists to advocate for equity in a diverse, often unfair society. This article offers a model that addresses readiness, recruitment, retention, assessment, and professional development from this perspective.     

The asymptotically efficient version of the information matrix test in binary choice models. A study of size and power

As Newey (1985) and Orme (1988) argue in the context of discrete binary choice models, the test of the information matrix (IM) is sensitive to heteroscedasticity and the incorrect distribution of the error term, with both these problems leading to inconsistency of the estimators obtained. This paper uses simulation experiments to analyse the size and power of the asymptotically efficient version of this test, with the aim of obtaining evidence on its capacity to detect such specification errors, considering different alternatives.     

Labor force composition and underemployment trends, 1969–1980

Underemployment indicators are both ‘objective’ indicators of individual well-being and social welfare and ‘normative’ indicators for programmatic use. Components of an underemployment indicator framework, the Labor Utilization Framework (LUF), are operationally defined and shown to be closely related to a family of proposed alternatives. Using CPS data, a 12-year time series of LUF indicators is developed for the U.S. labor force and its key subgroups. The across-time heterogeneity of the labor force is analyzed in relation to a ‘basic’ demographic group-by-LUF-by-time contingency, showing how the complexity of labor force structure that emerges from a multi-state indicator of underemployment can be rigorously modeled. Standard loglinear models, which focus on the temporal aspects of data from repeated cross-sectional surveys, provide the analytic technique. Changes in the demographic composition of the labor force account for about 30% of the overall period variability, and age structure has made the most important contribution to the compositional change.     

Looking back . . . looking forward: addressing the lives of lesbians 55 and older

This study explored the life course experiences of older lesbians and their concerns and needs as they age. Interviews with sixty-two lesbians, age 55 and older, living in the three west coast states, revealed common themes related to coming out, family and partner relationships, sources of support, aging-related concerns, personal accomplishments, and hopes for the future. Implications for research with older lesbians and for appropriate social work practice and service delivery with this aging population are discussed.     

Eating Disorders Among a Community-based Sample of Chilean Female Adolescents

The purpose of this study was to explore the prevalence and correlates of eating disorders among a community-based sample of female Chilean adolescents. Data were collected through structured interviews with 420 female adolescents residing in Santiago, Chile. Approximately 4% of the sample reported ever being diagnosed with an eating disorder. Multivariate logistic regression analyses revealed that those with higher symptoms of anxiety and who had tried cigarettes were significantly more likely to have been diagnosed with an eating disorder. Findings indicate that Chilean female adolescents are at risk of eating disorders and that eating disorders, albeit maladaptive, may be a means to cope with negative affect, specifically anxiety.     

Neglect of older adults in Michigan nursing homes

Although research on domestic elder abuse and neglect has grown over the past 20 years, there is limited research on elder neglect in nursing homes. The purpose of this study is to estimate the incidence of elder neglect in nursing homes and identify the individual and contextual risks associated with elder neglect. Data came from a 2005 random digit dial survey of individuals in Michigan who had relatives in long term care. Our analytic sample included 414 family members who had a relative aged 65 or older in nursing homes. Results showed that about 21% of nursing home residents were neglected on one or more occasion in the last 12 months. Two nursing home residents' characteristics reported by family members appear to significantly increase the odds of neglect: functional impairments in activities of daily living and previous resident-to-resident victimization. Behavior problems also are associated with higher odds of neglect (p = 0.078). Policy implications of these results are discussed.     

Measuring underemployment and inequality in the work force

In a recent article in this journal, Tipps and Gordon (1985) presented new indicators of underemployment and compared them to indicators obtained from the Labor Utilization Framework (LUF) of Hauser, Sullivan, Clogg, and others. In this note the Tipps-Gordon criticisms of LUF are reviewed, the Tipps-Gordon framework is criticized, and both LUF and the Tipps-Gordon approach are compared empirically as well as conceptually. An extension of LUF is also presented.     

Assessing the Relationship Between Environmental Lead Concentrations and Adult Blood Lead Levels

This paper presents a model for predicting blood lead levels in adults who are exposed to elevated environmental levels of lead. The model assumes a baseline blood lead level based on average blood lead levels for adults described in two recent U.S. studies. The baseline blood lead level in adults arises primarily from exposure to lead in diet. Media-specific ingestion and absorption parameters are assessed for the adult population, and a biokinetic slope factor that relates uptake of lead into the body to blood lead levels is estimated. These parameters are applied to predict blood lead levels for adults exposed to a hypothetical site with elevated lead levels in soil, dust and air. Blood lead levels ranging from approximately 3-57 μg/dl are predicted, depending on the exposure scenarios and assumptions.