Power Analysis: An Introduction for the Life Sciences
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Author Description
Written primarily for mid-to-upper level undergraduates, this compelling introduction to power analysis in a biological context offers a clear, conceptual understanding of the factors that influence statistical power, and emphasises the importance of high power in experiments. It also explains how to improve the power of an experiment and offers guidance on how to present the outcomes of power analyses to justify experimental design decisions.Digital formats and resourcesThe book is available for students and institutions to purchase in a variety of formats, and is supported by online resources:· The e-book offers a mobile experience and convenient access along with functionality tools, navigation features, and links that offer extra learning support: www.oxfordtextbooks.co.uk/ebooks· Online resources include multiple choice questions for students to check their understanding, and, for registered adopters, figures and tables from the book
Menrva's Summary
THE THESIS
This text investigates the fundamental role of statistical power in experimental design and its critical impact on the validity of biological research. Authors Graeme D. Ruxton and Nick Colegrave provide a conceptual framework for understanding how various factors influence the ability of an experiment to detect true effects. By focusing on the life sciences, the authors bridge the gap between abstract statistical theory and practical laboratory or field application. The book serves as a guide for researchers to justify their experimental choices through rigorous power analysis.
THE SCOPE MAP
What You Will Find
- Conceptual explanations of factors influencing statistical power in biological experiments
- Methodologies for improving experimental power to ensure robust results
- Guidance on presenting power analysis outcomes to justify design decisions
- Pedagogical support including multiple choice questions and supplementary digital figures
THE AUTHORITY PERSPECTIVE
Experts and educators recognize this primer as a foundational resource for undergraduate students navigating the complexities of experimental statistics. Readers frequently note the clarity of the prose, which successfully demystifies technical concepts for those entering the field of biological research.
Page Count:
176
Publication Date:
2021-09-21
Publisher:
Oxford University Press
ISBN-10:
0198846630
ISBN-13:
9780198846635
Science
Statistics
Academic
Biology
Research Methods
Community Tags
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