This practical urban studies research guide for students, revised and with new chapter additions, focuses on the city and on the different ways to research it.

Without sacrificing technical integrity for the sake of simplicity, the author draws upon accessible, student-friendly language to provide approachable instruction perfectly aimed at statistics and Bayesian newcomers.

With brand new chapters on ethics and mixed methods, this indispensable guide continues to provide readers with everything they need to develop effective and successful research proposals.

With a new chapter on social media, new worked examples and better addressing the needs of the newcomer (whilst still remaining authoritative), this fourth edition continues to be an invaluable resource in introducing readers to the theories and techniques of social network analysis.

The SAGE Handbook of Qualitative Data Collection is a timely overview of the methodological developments available to social science researchers, covering key themes including: Concepts, Contexts, Basics Verbal Data Digital and Internet Data Triangulation and Mixed Methods Collecting Data in Specific Populations.

Practical and engaging, this book shows how work placements can be used to practice and develop your research and professional skills. It helps you successfully secure and undertake a social science work placement or internship, understand your role as a researcher and maximize the benefits of experiential learning.

Providing readers with an expansive and international overview, this handbook is the ideal resource on this fast-paced and ubiquitous field

Addressing the practicalities of research, and embracing the complexity and variety of written forms of language, this book helps readers with practical and conceptual tools to ask questions about written discourse, and to analyse the huge variety of texts that make up our linguistic landscape.

Perfect for any statistics student or researcher, this book offers hands-on guidance on interpreting, analysing, and presenting results to achieve maximum impact.

Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems.