Looking in depth at the therapeutic meeting between therapist and client, this now includes an updated preface, new content on recent research and new developments and debates around relational depth, and new case studies.

The second, thoroughly revised and expanded, edition of The SAGE Handbook of Visual Research Methods presents a wide-ranging exploration and overview of visual research methods today, aiming to exemplify diversity and contradictions in perspectives and techniques.

The SAGE Handbook of Human Trafficking and Modern-Day Slavery provides a comprehensive, interdisciplinary and global look at the diverse issues surrounding human trafficking and slavery in the post-1945 environment.

Practical and engaging, this book shows how work placements can be used to practice and develop your research and professional skills. It helps you successfully secure and undertake a social science work placement or internship, understand your role as a researcher and maximize the benefits of experiential learning.

In this book, teacher, education consultant and researcher Jon Tibke fact-checks prevailing 'neuromyths' by shining a light on what scientific research is truly relevant for the classroom and exploring the current limits of our understanding.

This book provides a comprehensive introduction to the various methods, techniques and imaging models for measuring the activities of the brain, from fMRI to PET and much more.

Media and Communication traces the historical development of media and communication studies in the 20th century, forming an invaluable resource for students across the discipline as well as cultural studies and sociology.

From new forms of satirical humour and dissent, workplace bullying and sexual misconduct, to managerial misbehaviour and its consequences, this book explores the latest forms of organisational subversion and offers fresh insights into the underlying dynamics of management and organisational processes.

Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems.