Designed to reduces students' anxieties and minimize unnecessary formulas, this fourth edition provides a comprehensive introduction to basic statistical designs and analyses.

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.

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.

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.

This short, easy to read introduction to grounded theory covers each stage of the process from formulating a research question to coding and forming theories from data, helping the reader to employ the method in their research project.