Continuing to be THE guide to the whole qualitative research process for students, this book looks at both the theory behind qualitative research and how to put it into practice in your own work. For students across a range of social science disciplines and beyond, this is a must to help you enhance your research project. This edition introduces: a decolonisation of methodologies a range of indigenous, queer and feminist perspectives on methodologiesassistance with defending a viva and altern...

If you're a first-time researcher, this book covers everything you need to successfully complete your business research project, increase your employability and develop transferable skills.

This book's collection of instructional strategies and assessment methods show how to implement and differentiate project-based learning that fosters 21st century skills in Grades K-12.

This book walks you step-by-step through the entire research process, covering everything you need to successfully conduct a sports research project in the real world.

Data archives provide rich and expansive sources of information for researchers. Part of the SAGE Qualitative Research Kit, this book highlights the utility of secondary data analyses whilst showing you how to select the right datasets for your study, and in turn get the most out of your research.

An accessible, positive study guide for students with dyslexia, this book uses tried-and-tested learning strategies to empower students to achieve their academic goals.

Explores the field of research ethics and presents a distinctive perspective; one that is at odds with the assumptions underpinning ethical regulation, but also with the views of many qualitative researchers today.

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.

Secondary Data in Mixed Methods Research by Daphne C. Watkins, is the latest contribution to the Mixed Methods Research Series. This brief text offers step-by-step procedures for incorporating existing data into mixed methods research designs, as well as identifying characteristics of datasets that make them good candidates for mixed methods projects.

This comprehensive second edition offers readers a complete guide to carrying out research projects involving structural equation modeling (SEM).