Criminological research lies at the heart of criminological theory, influences social policy development, as well as informs criminal justice practice. The ability to collect, analyse and present empirical data is a core skill every student of criminology must learn.
Written as an engaging step-by-step guide and illustrated by detailed case studies, this book guides the reader in how to analyse criminological data. Key features of the book include:
o Guidance on how to identify a research topic, designing a research study, accounting for the role of the researcher and writing up and presenting research findings.
o A thorough account of the development of qualitative and quantitative research methodologies and data analysis within the field of criminology.
o Relevant and up-to-date case studies, drawn from internationally published criminological research sources.
o Clear and accessible chapter content supported by helpful introductions, concise summaries, self-study questions and suggestions for further reading.
Understanding Criminological Research: A Guide to Data Analysis in invaluable reading for both undergraduate and postgraduate students in criminology and criminal justice.
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Dr John Martyn Chamberlain is a Medical Criminologist at Southampton University. His academic background covers criminology, law, bioethics and medical sociology. His primary research interests include the study of medical malpractice, negligence and criminality, as well as the role played by specialist forms of medical and health-care expertise in the identification and governance of ′troublesome′ social groups, including the unwell, the deviant, and the criminally insane. Drawing on this background, he has written widely on medical-legal developments in the regulation and discipline of doctors, as well as contemporary developments in criminological theory and research, publishing two well-received introductory textbooks Understanding Criminological Research (Sage 2012) and Criminological Theory in Context (Sage 2015).
This is a clear and engaging introduction for students involved with data analysis in criminology and across the social sciences.
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