Recruiting,engaging, and educating social work leaders: an innovative curricular model

Graduate social work student interest in administration or management studies has been low in comparison to their interest in clinical practice. Recruiting graduate students to administration or management specializations in social work education remains a challenge for social work programs. Recognizing the need to attract and prepare MSW students for administration, various curriculum models have been proposed. This study presents a unique model that was designed specifically for social work students who wanted to become competent clinical practitioners, yet were also interested in macropractice. By marketing to, and recruiting, graduate students who have a passion for the dual (macro and micro) focus of social work, the administration specialization in this large, US-based urban graduate social work program has been able to attract over 120 additional students each year, comprising nearly 24% of the graduating class. This qualitative study examined students’ rationale for selecting this specialization, their experiences in the program and their suggestions for improvement. Implications for other graduate social work programs are highlighted.     

Child labour measurement: Whom should we ask?

Funding decisions to support vulnerable children are tied to child labour statistics, hence the importance of an accurate measurement. The author analyses whether the type of respondent plays an important role in explaining variations in child labour statistics. Using data from two sites in Tanzania, the analysis shows that “whom we ask” matters considerably when estimating the prevalence of child labour. The results suggest that prevalence increases by approximately 35 to 65 per cent when using child self‐reports rather than proxy reports. This bias affects 14 to 31 per cent of the sample, depending on the indicator. Discrepancies decrease as the child ages and increase if proxy attitudes demonstrate opposition to child labour.     

Spectral Estimation of Covolatility from Noisy Observations Using Local Weights

We propose localized spectral estimators for the quadratic covariation and the spot covolatility of diffusion processes, which are observed discretely with additive observation noise. The appropriate estimation for time‐varying volatilities is based on an asymptotic equivalence of the underlying statistical model to a white‐noise model with correlation and volatility processes being constant over small time intervals. The asymptotic equivalence of the continuous‐time and discrete‐time experiments is proved by a construction with linear interpolation in one direction and local means for the other. The new estimator outperforms earlier non‐parametric methods in the literature for the considered model. We investigate its finite sample size characteristics in simulations and draw a comparison between various proposed methods.     

Characteristics of Couples Who Attend Family Services Counselor Visits in Relationship Education

Case management services for low-income couples receiving relationship education have been required by federal funding agencies. Studies examining relationship education outcomes for low-income couples have yet to address participant characteristics of those who attend case management services (e.g., distressed vs. nondistressed). Thus, this study examined the influence of baseline relationship satisfaction and demographics on attendance at case management visits for 2,628 low-income, partnered participants who attended relationship education. Findings indicated that participants who reported higher baseline relationship distress attended more family services counselor (FSC) visits. However, when we added demographics to the model, relationship distress no longer predicted FSC visits, whereas income served as a predictor for men and women, with those reporting greater monthly income attending more FSC visits.     

Nonparametric Shrinkage Estimation for Aalen's Additive Hazards Model

Aalen's nonparametric additive model in which the regression coefficients are assumed to be unspecified functions of time is a flexible alternative to Cox's proportional hazards model when the proportionality assumption is in doubt. In this paper, we incorporate a general linear hypothesis into the estimation of the time‐varying regression coefficients. We combine unrestricted least squares estimators and estimators that are restricted by the linear hypothesis and produce James‐Stein‐type shrinkage estimators of the regression coefficients. We develop the asymptotic joint distribution of such restricted and unrestricted estimators and use this to study the relative performance of the proposed estimators via their integrated asymptotic distributional risks. We conduct Monte Carlo simulations to examine the relative performance of the estimators in terms of their integrated mean square errors. We also compare the performance of the proposed estimators with a recently devised LASSO estimator as well as with ridge‐type estimators both via simulations and data on the survival of primary billiary cirhosis patients.     

Supportive Housing for Addicted,Incarcerated Homeless Adults

ABSTRACT

Homeless populations often suffer from mental illness, substance abuse, and criminality. Interventions, such as supportive housing, can have positive impacts, although benefits can be limited. This study examined outcomes for clients (N = 102) of a new supportive housing intervention. Use of formal treatment, jail contact, and community stability were compared pre- and post-housing. Jail bookings and residential substance abuse treatment significantly declined post-housing, while clients improved in income level, access to food, and housing stability. Results from official justice and treatment system data suggest that supportive housing can lead to significant changes. Future research is necessary to understand the relationship between client characteristics and outcomes.     

Effective eProcurement implementation process

As eProcurement is gaining popularity in business practice, researchers as well as practitioners have addressed the need of defining a proper eProcurement implementation strategy. This article aims to build an eProcurement implementation framework, which considers the main variables that have an impact on the eProcurement success and the links among them. The goal is to identify the main decisions that companies should take during the three principal phases of the eProcurement adoption (pre-implementation; implementation and post-implementation). Six case studies at different levels of eProcurement adoption have been used to identify the peculiarities of each phase of the process and to provide contingent guidelines.     

多媒体案例教学在市场营销学教学中的应用

从科学分组、具体应用、如何合理评价学生三方面进行研究突破，提出与以往完全不同的多媒体案例教学模式。这种方法不仅能使学生充分掌握市场营销理论知识，而且对目前很多高校应用型人才的培养起到了非常重要的作用。     

非物质文化遗产综合评价体系构想

系统阐明了建立非物质文化遗产综合评价体系的目的与意义,认为应该在非物质文化遗产保护工作中科学决策,以提高管理工作效率,促进理论研究。在分析非物质文化遗产特点的基础上提出了综合评价体系的基本原则、步骤、方法,明确表述了建立非物质文化遗产综合评价体系的整体思路与框架。     

近二十余年魏晋南北朝少数民族与汉族交融史研究综述

按照少数民族与汉族间相交融的发展轨迹及其特点——冲撞、交流、融合等方面进行研究综述。