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.
This entry regards intervention research as an essential part of social work as a profession and research discipline. A brief history of intervention research reveals that use of intervention research for the betterment of human conditions is contemporary with the genesis of modern social science. Advances in intervention research are attributed to the comprehensive social programs launched during the 1960s in the United States. A contemporary and generic model of intervention research is described. It is argued that it is ethical to use intervention research and unethical not to use it. Assessment of some of the recent advances in policy making and science gives an optimistic picture of the future of intervention research.
Shaun M. Eack
Mental health research is the study of the causes and correlates of mental health and illness, approaches to improve mental well-being, and the delivery of effective mental health services to those in need. Social workers have been leading researchers in each of these areas of inquiry, and this article provides an overview of the broad field of mental health research, with particular emphasis on the contributions of social work. A biopsychosocial review of research on the correlates of mental health and illness is provided, followed by a synthesis of studies examining pharmacological and psychosocial approaches to improving mental health. Research on mental health services is then presented, with a focus on studies seeking to improve access to quality care and reduce service disparities. Key directions for future mental health research include identifying specific causal predictors of mental illness, improving existing treatments, and disseminating advances to the community.
Julia H. Littell
Meta-analysis is widely used in the social, behavioral, and medical sciences to combine results of multiple studies and produce relevant information for clinical practice and social policy. It is most often used to synthesize quantitative data on treatment effects, but it has many potential applications. Meta-analysis includes a set of techniques for quantitative data synthesis that can (and should) be performed in the context of systematic efforts to minimize bias at each step in the research review process (see Systematic Reviews). Without careful efforts to eliminate bias, meta-analysis can lead to wrong conclusions.
Daphne C. Watkins
Mixed methods research integrates both qualitative and quantitative methods into a single study to produce a more inclusive and expansive understanding of a topic. This article defines mixed methods in social work research, and discusses design notation, language, popular mixed methods designs, and data integration. Using mixed methods provides an opportunity for social workers to take advantage of the strengths of both qualitative and quantitative approaches and to offset their weaknesses. It is important that social workers engaged in mixed methods research maximize the interpretation of their findings and articulate the advantages of using mixed methods over qualitative or quantitative methods alone. Given the unique features of the profession, it is imperative that social workers carve out a distinctive mixed methods niche for social work researchers and practitioners.
Jennifer L. Magnabosco
Throughout history, measuring outcomes has been a goal and priority in the human services. This entry chronicles the history of outcomes measurement in the human services in the United States and discusses present-day outcome measurement activities as well as trends and some of the key areas for outcomes measurement in several human service domains.
J. Christopher Hall
This article presents a history and overview of first- and second-order cybernetics and the ways in which the theories inform models of social work practice. A foundational understanding of cybernetics is crucial for social workers because it forms the groundwork for how models of practice operationalize the ideal counseling relationship and how client problems will be assessed. A first-order approach invites the social worker to begin counseling via an objective assessment derived from a defined theory of normality, whereas a second-order approach suggests that a social worker adopt a curious or not-knowing approach to explore collaboratively with the client to decide how problems will be understood and how solutions to problems may be constructed. These approaches are sometimes differentiated as first-order, or modern, and second-order, or postmodern.
Social work is distinguishable from other disciplines by its emphasis on producing change that affects clients and their environment. This emphasis has influenced the nature of social work practice research, which calls for attention to the development, design, and implementation of change strategies through the use of the science of intervention research. This paper provides a definition of intervention research, highlights its culturally congruent elements, and addresses its implications for social work evidence-based practice and practice guidelines.
Rosalyn M. Bertram
This entry presents frameworks for implementing effective services. When service organizations understand and work through implementation frameworks, programs can achieve targeted fidelity and client outcomes in a sustainable manner while enhancing practitioner competence and confidence, and improving organizational culture and climate. These frameworks should be but are not yet infused throughout social work curricula. They provide a practical and conceptual bridge for supporting effective delivery of evidence-based or empirically informed practices.
Measurement is a fundamentally important component of social work research. This entry briefly covers two important notions in psychometrics: reliability and validity. Reliability concerns errors of measurement, and validity concerns the accuracy of the inferences that are made from scores from a measurement procedure. Both norm-referenced and criterion-referenced measurement procedures are discussed.