Power Analysis

Description

Written primarily for mid-to-upper level undergraduates, this compelling introduction to power analysis offers a clear, conceptual understanding of the factors that influence statistical power, as well as guidance on improving and presenting the outcomes of power analyses to justify experimental design decisions.

• Oxford Biology Primers are the only resource to introduce prospective and current students of undergraduate-level bioscience to a range of topics from this dynamic experimental science, enticing readers to study further
• Its titles directly support two key transitions in the student journey: from school to undergraduate-level study, and from undergraduate to independent researcher.
• Its breadth ensures unrivalled relevance across a range of bioscience degree programmes, regardless of the specific emphasis of a given HEI
• Its modular format offers a high degree of flexibility, with teachers being able to draw on specific volumes that augment the post-16 curriculum, university lecturers being able to draw on specific volumes at different stages of the undergraduate curriculum, and with materials from the series being available for access in both print and digital formats
• Also available as an e-book with functionality, navigation features, and links that offer extra learning support

About the Author(s)

Nick Colegrave, University of Edinburgh, and Graeme D. Ruxton, University of St Andrews

Nick Colegrave is Professor of Evolutionary Biology at the University of Edinburgh, Scotland. He has held faculty positions there for 20 years, and published over 70 peer-reviewed papers. His research sits at the interface between ecology and evolution, understanding how these processes interact and affect each other. He also has strong interests in infection and disease. He has always taught courses in experimental design and statistics, and gives seminars and conference keynote addresses on issues in these fields.

Graeme Ruxton is Professor of Evolutionary Ecology at the University of St Andrews, Scotland. He has held faculty positions for 25 years, and published over 400 peer-reviewed papers. His research focuses on diverse aspects of behavioural ecology, but he has published numerous papers on aspects of experimental design and statistics, and co-authored a statistical textbook. He has always taught courses in various aspects of experimental design and statistics and has delivered postgraduate workshops on this internationally.

Table of Contents

1: What is statistical power?
2:Why low power is undesirable
3:Improving the power of an experiment
4:How to quantify power by simulation
5:Simple factorial designs
6:Extensions to other designs
7:Dealing with multiple hypotheses
8:Applying our simulation approach beyond null hypothesis testing

Additional Resources

Digital formats and resources

Power Analysis: An Introduction for the Life Sciences is supported by online resources and is available for students and institutions to purchase in a variety of formats.

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

The book's online resources include:
For students:
- Online quizzes for each chapter so that students can quickly check their understanding of the key concepts
For teachers:
- Artwork from the book in easy-to-download format, for use in class materials and handouts