An Examination of the Persistence of the Residual Child Welfare System in the United States: Addressing Charges of Radical Theoretical Myopia with Implications for Social Work Practice

The United States follows what has been termed a “residual” approach to its public child welfare system. This article describes the residual model and contrasts it with the policies of other industrialized nations. It also explores the causes and persistence of the residual model in the United States through the lens of structural-functionalist theory. By doing so, this article attempts to respond to critics of structural social work who maintain that it is overly reliant on conflict theory and has nothing to offer in terms of distinct practice methods. Suggestions for a structurally informed social work practice are made.     

Measuring Marital Satisfaction: A Comparison of the Revised Dyadic Adjustment Scale and the Satisfaction with Married Life Scale

Marital satisfaction has been psychometrically measured using many different instruments not soundly based on theory. The Revised Dyadic Adjustment Scale (RDAS), consisting of 14 items, is commonly accepted by researchers and practitioners to measure marital satisfaction but was not specifically designed to measure marital satisfaction. The Satisfaction with Married Life Scale (SWML), consisting of five items, is a short scale specifically targeted toward measuring marital satisfaction. An online sample collected from 1,187 couples throughout the United States was used to compare these instruments' correlation (r = .782), factor structures, reliability (SWML, α = .958; RDAS, α = .943), theoretical foundation, and validity. These instruments are on parity with each other when measuring marital satisfaction; however, each instrument yields implications for practitioners and researchers desiring to measure marital satisfaction.     

A conceptual framework for the study of work and mental health

Abstract

The key features which influence mental health both in jobs and unemployment are brought together within a single perspective. Three principal axes of affective well-being are identified as warranting investigation, and it is suggested that nine environmental features are of primary importance. The impact of these features on mental health is viewed as analogous to the influence of vitamins on physical health, with an explicit non-linearity in the relationship. This ‘vitamin model’ is extended to permit examination of individual differences (for example, in terms of baseline values and specific matching characteristics), and empirical evidence is summarized. It is concluded from previous research that job features do not interact synergistically in relation to employee well-being, although this possibility may not yet have been adequately tested. The framework is suggested to be adequately comprehensive, but, as is the case with other models, it requires development in respect of the specific mechanisms operating between environmental features and mental health.     

Taxonomy of outsourcing decision models

This article proposes a taxonomy of outsourcing decision models. The proposed taxonomy may assist practitioners in their decision-making and researchers in the identification, evaluation and classification of decision models. Further, this article also provides an overview and evaluation of existing outsourcing decision models, and assesses them for their applicability to the outsourcing decision process. In particular, this article finds that the outsourcing decision models proposed in the literature have limitations in their applicability to the outsourcing decision process.     

The eligibility question – the real source of depersonalisation?

There have been a number of high-profile strategies over recent decades to raise social care above what is widely regarded as an unacceptable service in the United Kingdom. Quite apart from all too frequent high-profile scandals, it is seen as a service that is depersonalising and stigmatising. None of the strategies to bring about change, most of them introduced to great fanfares, have delivered the changes they promised. This article sets out a view that the reason why they have all failed is that none of them have identified or therefore tackled the underlying problem, which is the relationship between needs and resources. Underfunding has long been a serious concern for campaigning organisations. The article does not detract from that contention. However, it sets out how strategies to manage the gap between needs and resources, more than the funding gap per se, are themselves the root cause of depersonalised and chronically impoverished services. The unlikely source of these strategies can be traced to the unintended consequences of an Act of Parliament that had the best of intentions.     

MEANINGFUL REGRESSION AND ASSOCIATION MODELS FOR CLUSTERED ORDINAL DATA

Many proposed methods for analyzing clustered ordinal data focus on the regression model and consider the association structure within a cluster as a nuisance. However, the association structure is often of equal interest—for example, temporal association in longitudinal studies and association between responses to similar questions in a survey. We discuss the use, appropriateness, and interpretability of various latent variable and Markov models for the association structure and propose a new structure that exploits the ordinality of the response. The models are illustrated with a study concerning opinions regarding government spending and an analysis of stability and change in teenage marijuana use over time, where we reveal different behavioral patterns for boys and girls through a comprehensive investigation of individual response profiles.