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From Questions to Knowledge is a practical handbook for students and researchers who want to gain confidence in planning research, understanding statistics, and analysing data using R. This fast-paced but accessible course covers the essential tools of statistical analysis, with minimal mathematics, organised around the General Linear Model and its extensions. 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 open science, treating these as inseparable from 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.
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