Michael Sherraden, Lissa Johnson, Margaret M. Clancy, Sondra G. Beverly, Margaret Sherrard Sherraden, Mark Schreiner, William Elliot III, Trina R. Williams Shanks, Deborah Adams, Jami Curley, Jin Huang, Michal Grinstein-Weiss, Yunju Nam, Min Zhan, and Chang-Keun Han
Since 1991, a new policy discussion has arisen in the United States and other countries, focusing on building assets as a complement to traditional social policy based on income. In fact, asset-based policy already existed (and still exists) in the United States, with large public subsidies. But the policy is regressive, benefiting the rich far more than the poor. The goal should be a universal, progressive, and lifelong asset-based policy. One promising pathway may be Child Development Accounts beginning at birth, with greater public deposits for the poorest children. If every child had an account, then eventually this could grow into a universal public policy across the life course.
Chaos theory and complexity theory, collectively known as nonlinear dynamics or dynamical systems theory, provide a mathematical framework for thinking about change over time. Chaos theory seeks an understanding of simple systems that may change in a sudden, unexpected, or irregular way. Complexity theory focuses on complex systems involving numerous interacting parts, which often give rise to unexpected order. The framework that encompasses both theories is one of nonlinear interactions between variables that give rise to outcomes that are not easily predictable. This entry provides a nonmathematical introduction, discussion of current research, and references for further reading.
Sung Sil L. Sohng
Community-based participatory research (CBPR) embraces a partnership approach to research that equitably involves community members, organizational representatives, and researchers in all aspects of the research process. CBPR begins with a research topic of importance to the community and has the aim of combining knowledge with action and achieving social change. It is community based in the sense that community members become part of the research team and researchers become engaged in the activities of the community. Community–researcher partnerships allow for a blending of values and expertise, promoting co-learning and capacity building among all partners, and integrating and achieving a balance between research and action for the mutual benefit of all partners. Various terms have been used to describe this research, including participatory research, action research, participatory action research, empowerment research, collaborative research, anti-oppressive research, and feminist research.
This entry discusses community planning in the context of community social work. Distinctions are made between community planning as a rational comprehensive process of the planning discipline, and the process of community planning in community social work. Community planning is defined as a process of participatory and inclusive organized social change, directed toward community empowerment, building community, and developing members’ capacities to take part in democratic decision making. A three-dimensional model of empowering community planning is presented and discussed. The model focuses on the tasks of community social work in the planning process, and the empowering outcomes they can enable.
David P. Moxley
Interdisciplinarity links social work to other disciplines within complex domains of practice. Contrasted with multidisciplinary practice, in which social workers practice alongside other disciplines and professions, all of whom pursue their own intervention aims, interdisciplinarity requires a blending and combining of those practices distinctive within each of the disciplines in pursuit of a common set of outcomes. Interdisciplinarity requires collaboration, the integration of knowledge and action, and the formation of a common agenda of practice guided by unified goals. While interdisciplinary practice amplifies the distinctiveness of social work in a given domain, it underscores engagement of the profession in collaborative knowledge development, social learning, and innovation.
Michael Sherraden, Li-Chen Cheng, Fred M. Ssewamala, Youngmi Kim, Vernon Loke, Li Zou, Gina Chowa, David Ansong, Lissa Johnson, YungSoo Lee, Michal Grinstein-Weiss, Margaret M. Clancy, Jin Huang, Sondra G. Beverly, Yunju Nam, and Chang-Keun Han
Child Development Accounts (CDAs) are subsidized savings or investment accounts to help people accumulate assets for developmental purposes and life course needs. They are envisioned as universal (everyone participates), progressive (greater subsidies for the poor), and potentially lifelong national policy. These features distinguish CDAs from most existing asset-building policies and programs around the world, which are typically regressive, giving greater benefits to the well-off. With policy innovation in recent years, several countries now have national CDA policies, and four states in the United States have statewide programs. Some of these are designed to be universal and progressive. Evidence indicates that true universality can be achieved, but only with automatic account opening and automatic deposits. In the absence of automatic features, advantaged families participate and benefit more. Today, momentum for universal and automatic features is gradually gaining traction and accelerating. At this stage in the emergence of inclusive asset-based policy, this is the most important development.
Craig Winston LeCroy
Logic models have become a critical feature of program planning and evaluation. Using a logic model framework provides a visual summary that shows the relationship between the program’s resources, activities, outputs, and outcomes. The logic model is a tool that helps individuals see the interrelationships between the different components of a program. By using logic models, program planners and evaluators can more effectively examine a program’s theory and logic. The logic model tool highlights the program’s underlying theory, the service activities, and the organizational structure for accomplishing program outcomes. The process of developing a logic model assists developers and evaluators and other stakeholders in understanding a program’s assumptions and evaluating the logical links between what programs are doing and the outcomes they hope to achieve. Because of their utility logic, models have become widely used in social service programs.
Paula T. Morelli and Jon Kei Matsuoka
Social impact assessment (SIA) is the process of analyzing (predicting, evaluating and reflecting) and managing the intended and unintended consequences on the human environment of planned interventions (policies, programs, plans, and projects) and any social change processes brought into play by those interventions so as to bring about a more sustainable and equitable biophysical and human environment (Vanclay, 2002). This subfield of impact assessment attempts to identify future consequences of a current or proposed action related to individuals, organizations and social macro-systems. SIA is policy-oriented social research often referred to as ex-ante evaluation, which involves pre-testing actions/interventions, or analyzing consequences.
Michael S. Kelly
Task-centered practice is a social work technology designed to help clients and practitioners collaborate on specific, measurable, and achievable goals. It is designed to be brief (typically 8–12 sessions), and can be used with individuals, couples, families, and groups in a wide variety of social work practice contexts. With nearly 40 years of practice and research arguing for its effectiveness, task-centered practice can rightfully claim to be one of social work's original “evidence-based practices,” though the relative paucity of research on its effectiveness in this decade suggests that the approach itself may have become increasingly integrated into other brief social work technologies.