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.

Sharp and focused, this book provides the need-to-know information on how to design and implement a good, high quality research project. Oriented around real-world application, it emphasizes the aspects of research most relevant to conducting practice-based research. Assuming no prior knowledge, but appropriate for experienced learners, it builds knowledge at a sustainable pace.

It offers readers: - A no frills guide to methodology and the theory of conducting research - Strategies for commun...

Providing readers with an introduction to how to conduct a research synthesis of literature, this Fifth Edition has new material on the use of the internet and other new developments in technology, including new statistics for describing meta-analytic results

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...

This brief book frames the big puzzles and, through lively stories and clear examples, provides a valuable how-to guide for producing analysis that works.

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.

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.

This book is an invaluable guide to using grounded theory (GT) effectively in business and management dissertations, and offers practical guidance and insight into how to successfully transcribe and analyse data using the GT approach in students' own research project.

Packed with practical advice and real-world examples, this step-by-step guide is an accessible introduction to doing quantitative social research using Microsoft Excel.