Offering guidance on doing experiments, this Little Quick Fix helps students select the most appropriate experiment for their research, collect and record their data, minimise error, and ensure their experiment is ethical and reproducible.

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually. This book: Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical me...

An updated edition of a bestselling text that provides readers with a clear and comprehensive overview of methods for conducting management and business research.

A Super Quick guide to polishing your academic writing, helping you write with impact and get the best grades.

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.

Ensure research is ethical with this Little Quick Fix. Cheryl N. Poth helps the reader to identify the ethical considerations of their research, protect the privacy of their subjects, develop an ethical research design and respond to ethical issues as they arise.

This accessible guide takes you through the process of designing, conducting and writing up a research project using case study methods. In his characteristic warm and friendly style, Gary Thomas covers each step at a confidence-building pace, helping you to get to grips with the theory and practice of doing a case study. Focusing on vital issues like validity, reliability and quality in research, the author helps you ensure your research is rigorous and methodologically sound.

Designed to reduces students' anxieties and minimize unnecessary formulas, this fourth edition provides a comprehensive introduction to basic statistical designs and analyses.