From Questions to Knowledge

From Questions to Knowledge is a practical handbook for students and researchers who want to gain confidence planning research, understanding statistics, and analysing data using R. It covers a full range of classical statistical approaches built around the General Linear Model and its extensions, as well as introducing useful additional techniques such as model selection, meta-analysis, specification curve analyses and writing simulations. The book introduces R from scratch, with reproducible code and links to datasets from real published studies, so readers can learn by doing. It also addresses principles of good study design, pre-registration, reproducibility and open science, treating these as integral to the data analysis itself. It distils the lessons Daniel Nettle has drawn from years of long practice into rules of thumb and exercises for those who wish to practice the craft.