Geoff Cumming Books
Geoff Cumming is a renowned statistician and researcher in the field of psychology. He has made significant contributions to the development and promotion of the new statistics, which emphasizes effect sizes, confidence intervals, and meta-analysis. Cumming has authored several influential books, including 'Understanding The New Statistics' and 'Introduction to the New Statistics'. His work has had a profound impact on the way researchers approach and interpret statistical analysis.
What's Introduction to the New Statistics about?
Introduction to the New Statistics provides a fresh perspective on statistical methods in psychological research. Authors Geoff Cumming and Robert Calin-Jageman introduce readers to the concept of estimation, emphasizing effect sizes, confidence intervals, and meta-analysis over traditional hypothesis testing. This book revolutionizes the way statistics is taught and used in the field, promoting transparency and reproducibility in scientific studies.
Who should read Introduction to the New Statistics?
- Undergraduate or graduate students studying psychology, social sciences, or health sciences
- Researchers and professionals who want to update their statistical knowledge
- Educators looking to incorporate the “new statistics” into their teaching curriculum
Introduction to the New Statistics
What's Introduction to the New Statistics about?
Introduction to the New Statistics by Geoff Cumming offers a fresh perspective on statistical analysis. It introduces the concept of effect sizes and confidence intervals, challenging the traditional reliance on p-values. This book provides a comprehensive guide for researchers and students looking to embrace a more informative and transparent approach to data analysis.
Who should read Introduction to the New Statistics?
Students or professionals seeking a modern and practical approach to understanding and applying statistics
Educators looking for a comprehensive resource to teach the principles of the "new statistics"
Researchers who want to enhance the transparency and reproducibility of their work through open science practices