A practical, up-to-date, step-by-step guidance on causal analysis; which features worked example datasets throughout to see methods in action. McBee clearly demonstrates techniques such as Rubin causal model, direct acyclic graphs and propensity score analysis.

Why do we collect? Where does the urge to collect come from? This book explores the phenomenon of collecting in various contexts. Collecting is an illustration of a strong human-thing entanglement. It can be caused by psychological incentives that are deeply rooted in human doubts and anxieties. It is also related to building a pleasant, unthreatening, and even paradisical, environment to compensate for the uncertainties of everyday life.

The chapters in this book range from psychological per...

Evaluating Research 3e provides students with the skills to read and evaluate research studies. Aimed at courses where it will be more important for students to read than conduct research, this book covers all aspects social, behavioral, and health science research from the ground up, as well as main types of research methods.

This bestselling guide offers students and researchers the key skills they need to complete a visual methods research project, with a clear step-by-step approach and examples to demonstrate how methods can be applied in practice.

This provocative book discusses a new turn in mixed methods research: merged methods. Moving beyond the binary quantitative-qualitative distinction, it shows you how to integrate methods in social research.

This book provides an adaptable, step-by-step framework for using and analysing video data in social science research in an ethical, effective way.

This book provides you with clear guidance on how to balance grounded theory and practice effectively by presenting multidisciplinary studies explained step-by-step.

This book offers a four-step framework for transforming data into innovative, persuasive visualisations that will appeal to different audiences.

This practical, user-friendly guide consists of 100 original activities that have been designed to inspire and support educators of research ethics and integrity at undergraduate and postgraduate level.

Statistics and Data Visualization Using R: The Art and Practice of Data Analysis teaches students statistics visually, focusing on interpreting graphs and charts to learn statistical concepts, from the mean through regression.