Illustrated with examples from a range of fields and disciplines, as well as the author's own work on hacking cultures and cultural activism, this title is a must for anyone wanting to learn about narrative networks and how to conduct successful narrative research in a modern age.

Structured as a series of probing questions, and covering a range of methods, this book reflects on the challenge posed by the idea that social research should serve evidence-based practice.

This book is about research designs for projects that collect both qualitative and quantitative data, so that their combined strengths will accomplish more than would have been possible with any one method.

Ethics in Social Science Research: Becoming Culturally Responsive provides a thorough grounding in research ethics, along with examples of real-world ethical dilemmas in working with vulnerable populations.

Introduction to Power Analysis: Two-Group Studies provides readers with the background, examples, and explanation they need to read technical papers and materials that include complex power analyses. This clear and accessible guide explains the components of test statistics and their sampling distributions, and author Eric Hedberg walks the reader through the simple and complex considerations of this research question.

The chapters in this book develop a working framework and contain worked examples and exercises to make sure that readers get the best results from their research and are fully versed in all the practical aspects of doing action research.

The Landscape of Qualitative Research 4e puts the field of qualitative research in context.

This book offers insight into how to secure, manage and effectively research funding in the changing order of global economy and competing research priorities.

This book addresses how newer researchers can proactively plan, write, promote and disseminate their work, and increase their chances of both academic citation and real-world impact.

Do your results mean something - or not? How can you measure it? Breaking it down into three building blocks, this Little Quick Fix shows students how to master hypothesis testing, normal distribution and p values.