This textbook is ideal for graduate or advanced undergraduate students in the social, behavioral, or managerial sciences who may need to conduct some form of statistical analysis in their future professional lives, but who are not trained in mathematics.

Mixed Methods Program Evaluation discusses the major frameworks that are used to design mixed methods evaluations. Multiple examples of the different frameworks are used to illustrate mixed methods evaluations in practice.

Explains basic principles about survey research, such as what surveys are, which types are available and what is involved in producing high quality surveys.

Introducing students to the concepts of statistics, stripping away any technical jargon and mathematical language, this book sets out the tools needed by those doing statistical procedures for the first time, or those in need of a refresher.

Written by internationally renowned experts, the Fourth Edition provides a complete introduction to the research process making it the perfect hand-holder for any social science student starting a methods course or project.

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.

Unlike other publications, this is a book on using propensity scores without using matrix or vector algebra.