Helping students to successfully visualise SEM by drawing on the graphical interface of EQS and providing plenty of screenshots throughout, this book assumes no prior statistical knowledge and includes practical assistance to encourage students to feel confident about using SEM for their research project.

This concise and practical guide explores the use of Conversation Analysis as a method for conducting research in a business and management Masters dissertation.

With inclusion of theories and causal factors for context, plenty of case studies for real-world application, and pedagogical features to encourage engagement, this book's coverage also goes far beyond the traditional focus on terrorist groups to provide readers with a stimulating and wide-ranging introduction to the subject

Explaining how digital media affect identities, bodies, social relations, artistic practices and the environment, this book helps students understand the key theoretical approaches in the field.

With a strong emphasis on reflectivity and reflexivity, this book provides placement students with a guide to critically studying an organization from the inside, and is particularly suited to those needing to do a reflective journal or essay as part of their studies.

An essential resource, Research Ethics for Human Geography is an engaging introduction to key ethical issues in geographical research; edited and authored by leading figures in the discipline.

This book offers students a framework to explore how their professional responsibility to understanding sociology can be realised in every aspect of their work with a diverse range of service user groups including children and families, adults, older people, people with learning disabilities and people suffering from mental distress.

Placing into perspective the meaning of evidence for evaluation professionals and applied researchers, the contributors to this book - a veritable 'who's who' in evaluation - provide observations about the diversity and changing nature of credible evidence.

Provides a unified framework for both single-level and multilevel modeling of ordinal categorical data