Understanding Criminological Research : A Guide to Data Analysis - John Martyn Chamberlain

Understanding Criminological Research

A Guide to Data Analysis

By: John Martyn Chamberlain

eBook | 8 November 2013 | Edition Number 1

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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.

Industry Reviews

 

Amongst the multitude of books being published about research, this book centres on developing the ability to collect, analyse and present empirical data. This is a core skill for students and this book provides a guide through the process in a way that is both interesting and insightful. [...] So the book is useful to the academic who is selecting recommended reading for their research modules. But beyond this, the book ultimately sets the student a challenge to understand the world for themselves, in a structured, thoughtful and analytical way that takes them away from ordinary, common sense assumptions and opinions, into the realm of research and analysis.
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