This practical book provides researchers strategic and practical guidance on using text mining methods to analyze large text collections more efficiently and productively.

Revised edition of the author's A guide to qualitative field research, 2007.

This book seeks to guide the student through the practical issues of doing conversation analysis, while providing the theoretical foundation for making research decisions. Each chapter highlights the challenges, debates, and important questions that arise in discursive research projects.

Covering the full spectrum of skills needed, including planning, scoping, analysis, argumentation, theory building, modelling theories, methods, gathering data, presenting evidence, and writing, this book clearly helps students through each stage of doing a research project.

A comprehensive guide to carrying out Qualitative Secondary Analysis (QSA) that brings together expert advice and professional insight from leading researchers who have developed innovative theories and methods of QSA.

An ideal introduction for trainees and practitioners looking to understand the what, the why, and the how of coaching research.

What Do We Know and What Should We Do About Immigration? Is part of a new book series offering short, up-to-date overviews of key issues often misrepresented or simplified in the mainstream media.

The Varieties of Grounded Theory explores the range and depth of grounded theory methodology, and the ways in which discussions in the field have developed and expanded in recent years.

Focusing on descriptive statistics, and some more advanced topics such as tests of significance, measures of association, and regression analysis, this brief, inexpensive text is the perfect companion to help those students who have not yet taken an introductory statistics course or are confused by the statistics used in the articles they are reading.

This book offers a much needed critical introduction to data mining and 'big data'. Supported by multiple case studies and examples, the authors provide everything needed to explore, evaluate and review big data concepts and techniques.