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.

An introduction to rapid research, this book shows you how to do quick, quality research that balances accommodating time and resource constraints with credible research design.

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.

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.

The third edition of this bestselling text guides students and researchers through the process of doing qualitative research, clearly explaining how different theoretical approaches inform what you do in practice.

This book is designed to help Education students gain confidence in analysing and interpreting quantitative data and using appropriate statistical tests, by exploring, in plain language, a variety of data analysis methods.

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.