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

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 offers an accessible critique of recent Early Childhood Educational Research, taking an international perspective, and highlighting strengths and key focus areas within the field. It will also identify areas where researchers have yet to offer significant insights that support the development of theory, policy and practice.

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.

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.

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.

This practical guide offers an approachable introduction to doing hermeneutic phenomenological research across the health and social sciences.