The Practice of Evaluation: Partnership Approaches for Community Change provides foundational content on evaluation concepts, approaches, and methods, with an emphasis on the use of evaluation and partnership approaches to effect change. Real examples in every chapter illustrate key ideas and concepts "in action" on topics such as organizational development, capacity building, program improvement, and advocacy. Editors Ryan P.

Kilmer and James R. Cook, and the chapter authors, highlight pragm...

Data Science for Business with R focuses on the concepts foundational for students starting a business analytics or data science course. The book features running case using an airline business's customer survey dataset to illustrate how to turn data in business decisions. The text also features full integration of R and RStudio software.

Agenda setting, practical guide to a popular new interview technique from a world class name in the field. It is the first step-by-step introduction to Dyadic interviews from the perspective of both the interviewer and the interviewee.

Guiding you through how to plan your research project, this Little Quick Fix covers everything from how to get started and the stages of research, to avoiding procrastination and staying on track.

The fourth edition of Content Analysis introduces students and scholars to a method of analysing the textual fabric of contemporary society, exploring the conceptual aspects, key components and evaluative techniques of content analysis.

From selecting appropriate methods to publishing your findings, this second edition offers a multidisciplinary introduction to the qualitative research process built around the authors' Qualitative Research Cycle - consisting of the design, data collection and analytic cycles.

Written with Jean McNiff's trademark enthusiasm and accessibility, this book - complete with a practical workbook - gives readers all they need to be able to do action research in their own context with confidence.

A new edition of this popular student guide to content analysis. Widely adopted on research methods courses across the social sciences.

This handy guide focuses on the process of writing and presenting data, enabling you to communicate your research findings in the best possible way.