This is a popular guide to a complex and demanding area of practice that looks at the experiences of children in need who live in state care and the social worker's role in working with them. There are chapters on communication and children's rights, life story work, attachment and culture, as well as ethnicity and faith.

The SAGE Handbook of Qualitative Business and Management Research Methods provides a state-of-the art overview of qualitative research methods in the business and management field. Chapters offer a comprehensive overview of the history and traditions that underpin qualitative research in the field.

A unique contribution to discussions of social theory, this book examines pre-20th century histories and discussions that culminated in the classical period of sociology, how they were lost, and why they remain important today.

Zina O'Leary's Research Proposal Little Quick Fix gives you a clever, beautiful workbook packed with real life examples to keep you on track. Use it to: work through guided exercises; understand the elements of the proposal; and, put them together thoughtfully to create your very own research proposal - fast.

This solid, sustainable, and laser-sharp focus on instructional leadership helps leaders hone, model and lead new learning through deliberate practice.

Mediation Theory and Practice, Third Edition introduces students to the process of mediation by using practical examples that show students how to better manage conflicts and resolve disputes. Authors Suzanne McCorkle and Melanie J. Reese help students to understand the research and theory that underlie mediation, as well as provide students with the foundational skills a mediator must possess in any context, including issue identification, setting the agenda for negotiation, problem solving,...

From choosing the topic to presenting the results, the fourth edition offers a practical step-by-step guide for business students on how to conduct a successful research project.

An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis.