Examines Social Work from a scientific position. Looks at what knowledge social workers need, and what knowledge they use in their case work.

What is the role of science in social work? Ian Shaw considers social work inventions, evidence-based practice, the history of scientific claims in social work practice, technology, and social work research methodology to demonstrate the significant role that scientific language and practice play in the complex world of social work. By treating science as a social action marked by the interplay of choice, activity, and constraints, Shaw links scientific and social work knowledge through the core themes of the nature of evidence, critical learning and understanding, justice, and the skilled evaluation of the subject. He shows specifically how to connect science, research, and the practical and speaks to the novel topics this integration introduces into the discipline, including experience, expertise, faith, tacit knowledge, judgment, interests, scientific controversies, and understanding.

"Science is a way of thinking about and investigating the accuracy of assumptions about the world. It is a process for solving problems in which we learn from our mistakes. Social work has a long history of social reform and helping efforts. Let us continue this by paying attention to the important message of this book. --Eileen Gambrill, PhD, School of Social Welfare University of California at Berkeley (From the Foreword) Although many psychosocial interventions used in social work practice have strong research evidence supporting their efficacy, a surprising number do not, potentially resulting in harmful outcomes. In this book, the authors cast a critical eye on the reality of commonly used scientific and pseudoscientific practices in social work today. Stressing the need for separating research-based practices from those not supported by adequate levels of evidence, they examine the scientific and pseudoscientific bases for popular social work interventions used in a variety of treatment settings. The text examines the misuse of legitimate research and describes how social work education training can and should discourage pseudoscience. The concluding chapter describes pathways through which social work practice can become more firmly grounded in contemporary scientific research. This engaging book is intended for courses in critical thinking and evidence-based practice and is a valuable resource for all social work students and practitioners. Key Features: Promotes critical thinking regarding the evidence-based research--or lack thereof--behind a variety of social work interventions Written by renowned social work educators Addresses the history and characteristics of pseudoscience Examines pseudoscience practices in assessment and work with children, adolescents, adults, and individuals with developmental difficulties

Understanding statistical concepts is essential for social work professionals. It is key to understanding research and reaching evidence-based decisions in your own practice—but that is only the beginning. If you understand statistics, you can determine the best interventions for your clients. You can use new tools to monitor and evaluate the progress of your client or team. You can recognize biased systems masked by complex models and the appearance of scientific neutrality. For social workers, statistics are not just math, they are a critical practice tool. This concise and approachable introduction to statistics limits its coverage to the concepts most relevant to social workers. Statistics in Social Work guides students through concepts and procedures from descriptive statistics and correlation to hypothesis testing and inferential statistics. Besides presenting key concepts, it focuses on real-world examples that students will encounter in a social work practice. Using concrete illustrations from a variety of potential concentrations and populations, Amy Batchelor creates clear connections between theory and practice—and demonstrates the important contributions statistics can make to evidence-based and rigorous social work practice.

Failing at Fairness, the result of two decades of research, shows how gender bias makes it impossible for girls to receive an education equal to that given to boys. Girls' learning problems are not identified as often as boys' are Boys receive more of their teachers' attention Girls start school testing higher in every academic subject, yet graduate from high school scoring 50 points lower than boys on the SAT Hard-hitting and eye-opening, Failing at Fairness should be read by every parent, especially those with daughters.