A unique selection of the greatest thinkers from the fields of philosophy, political theory, sociology, art, architecture and literature, with enjoyable profiles of what they have to teach to us today.

Introduction to Research Methods contains everything from developing an initial idea into a proposal, through to analysing data and reporting results. Whether you have to undertake a project as part of your coursework, or as part of your employment, or simply because you are fascinated by something you have observed and want to find out more, this book offers you advice on how to turn your ideas into a workable project.

Specifically it will show you how to:

*Choose your research methods

*Choo...

Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis.

In this book, Norman Denzin combines one of the oldest techniques in the social sciences with one of the newest.

Evaluation: A Systematic Approach is the bestselling comprehensive introduction to the field of programme evaluation.

Knoke and Yang's handy primer on social network analysis offers a concise introduction to basic network concepts, data collection, and network analytical methodology.

Beginning with ethics and quality and moving through to literature reviews, methodologies, analysis and writing up research reports, this 'how to' manual introduces the reader to foundational concepts and the key skills they need to complete their qualitative psychological research project.

With new chapters on key topics such as mental health, the environment, race, ethnicity and health, and pharmaceuticals, this new edition maintains its multidisciplinary framework and bridges the gap between health policy and the sociology of health.

An invaluable step-by-step, pedagogically engaging guide to data management in R for social science researchers. This book shows students how to recode and document data, as well as how to combine data from different sources, or import from statistical packages other than R.