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.

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.

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.

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

From research preparations to post-research debriefing, this book covers every stage of the social research process, outlining how to undertake fieldwork as safely as possible.

Built on the premise that anyone can learn to use the R software, this book emphasizes using R to do useful things like writing papers and reports, creating graphs, and conducting simple data analysis.

This is the perfect guide to conducting a research project in politics and international relations from start to finish, from formulating a research question and conducting a literature review to writing up and disseminating your work.

This edited book guides students and researchers through the processes of researching everyday stories about families.

Through templates and real-world examples, this step-by-step guide clearly illustrates what good and bad data look like, in order to help students get going quickly and build an effective survey around a research question. In each chapter, survey-based challenges are linked to the broader research issues, maintaining the important theoretical context to the learning process.