A new textbook from statistics royalty that builds on a world-class brand to present core statistical techniques alongside an up-and-coming software created by the authors – JASP.

New from award winning editors Norman K. Denzin and Yvonna S. Lincoln, The Qualitative Inquiry Reader offers the best of the popular SAGE journal, Qualitative Inquiry. These collected works aim to introduce the necessary critical framework that will allow scholars and students scholars to interpret cutting edge work in the field of qualitative inquiry. By providing this framework, readers will then be able to use this work as it applies to critical political and moral discourses. Features: T...

Instructs readers on how to use realism to conceptualize and conduct their qualitative study to get results with greater validity.

Written specifically to support those undertaking practice educator awards that meet the staged requirements of the Practice Educator Professional Standards, this book will provide invaluable guidance and support to social workers who are new to a practice education role.

Understanding Digital Societies provides a framework for understanding our changing, technologically shaped society and how sociology can help us make sense of it.

As one of the few teaching books that looks at fieldwork in the broadest of contexts, this book provides a strong foundation in the fundamentals of fieldwork within social research. It not only teaches theory but puts into practice planning, designing, conducting and sharing social research.Â

Victimology: A Text/Reader, Second Edition, engages students with the most current, cutting-edge articles published in the field of victimology as well as connects them to the basic concepts. Unlike existing victimology textbooks, this unique combination of published articles with original material presented in a mini-chapter format puts each topic into context so students can develop a better understanding of the extent, causes, and responses to victimization. Students will build a foundatio...

An Introduction to Data Science is an easy-to-read data science textbook for those with no prior coding knowledge. It features exercises at the end of each chapter, author-generated tables and visualizations, and R code examples throughout.