Offers an overview of qualitative research based on interpreting stories. Designed to improve research practice, this title provides detailed discussions of four analytic methods: thematic analysis, structural analysis, dialogic/performance analysis, and visual narrative analysis. It also presents arguments about validation in case-based research.

Written with those with limited mathematical and statistical knowledge in mind, this concise and practical guide helps researchers to do their research in new and alternative ways.

This is a complete social worker's guide to undertaking qualitative, quantitative and mixed-methods research.

A cornerstone of this exciting, growing discipline, this text gives readers a clear introduction to key ideas and common complexities met when doing sensory research and provides plenty of real-world examples to show the method in action.

A short, accessible guide for planning students embarking on a dissertation, taking them from choosing a question right through to analysing results.

Building on the acclaimed and successful previous editions, the Third Edition provides further critical updates and illustrations of the applications of reflexive methodology in formulating research strategies.

This book is a systematic, eight-step guide to qualitative content analysis, supporting you through each stage of your research project, no matter the type or amount of data.

With numerous approaches to choose from, knowing where to start when doing qualitative data analysis (QDA) can be a challenge. This book gives you direction with an accessible and thorough introduction to nine different approaches to QDA, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods. With a clear focus on the ‘how to’ of QDA, each chapter includes: •Step-by-step descriptions of how to apply each approach in your resea...

Offering guidance on doing experiments, this Little Quick Fix helps students select the most appropriate experiment for their research, collect and record their data, minimise error, and ensure their experiment is ethical and reproducible.