A step-by-step approach to guide students through the whole research process, from initial ideas, through to writing up and presenting the findings.

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.

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.

"Covers a broad range of subjects that undergraduates in the discipline should be familiar and comfortable with upon graduation. From chapters on the scientific method and fundamental research concepts, to experimental design, sampling and statistical analysis, the text offers an excellent introduction to the key concepts of geographical research. The content is applicable for students at the beginning of their studies right through to planning and conducting dissertations.

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This book offers a comprehensive guide to commissioning, managing and undertaking research in development work. Perfect for both students and practitioners.

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

Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research.

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.