Extremely practical in its focus featuring examples, exercises and resources, this book is an ideal introduction to understanding survival and event history analysis

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.

This practical, hands-on guide helps beginning researchers create a mixed methods research proposal for their dissertations, grants, or general research studies.

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.

Broad in its coverage and examining the wide range of uses of visual images, this second edition helps the reader overcome some of the practical challenges they face when conducting visually orientated research.

Written by award-winning scholar Jonathan H Turner, this 936 page resource is a comprehensive, in-depth and detailed review of both classical and present-day theory in sociology.

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.