This is the ideal step-by-step guide on how to write successful research proposals in the health sciences, whether it is for a thesis or dissertation review committee, an ethical review committee or a grant funding committee.

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.

Introducing mixed methods alongside basic research theory and principles, this text fully integrates mixed methods into the research methods foundation, providing a straightforward introduction to the topic.

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.

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.