2nd Edition
Introduction to the New Statistics Estimation, Open Science, and Beyond
This fully revised and updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. The estimation approach, with meta-analysis (“the new statistics”), is exactly what’s needed for Open Science.
Key features of this new edition include:
- Even greater prominence for Open Science throughout the book. Students easily understand basic Open Science practices and are guided to use them in their own work. There is discussion of the latest developments now being widely adopted across science and medicine.
- Integration of new open-source esci (Estimation Statistics with Confidence Intervals) software, running in jamovi. This is ideal for the book and extends seamlessly to what’s required for more advanced courses, and also by researchers. See www.thenewstatistics.com/itns/esci/jesci/.
- Colorful interactive simulations, including the famous dances, to help make key statistical ideas intuitive. These are now freely available through any browser. See www.esci.thenewstatistics.com/.
- Coverage of both estimation and null hypothesis significance testing (NHST) approaches, with full guidance on how to translate between the two.
- Effective learning strategies and pedagogical features to promote critical thinking, comprehension and retention
Designed for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding Open Science and the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.
1. Asking and Answering Research Questions
2. Research Fundamentals: Don’t Fool Yourself
3. Picturing and Describing Data
4. The Normal Distribution and Sampling
5. Confidence Intervals and Effect Sizes
6. p Values, Null Hypothesis Significance Testing, and Confidence Intervals
7. The Independent Groups Design
8. The Paired Design
9. Meta-Analysis
10. Open Science and Planning Research
11. Correlation
12. Regression
13. Frequencies, Proportions, and Risk
14. Extended Designs: One Independent Variable
15. Extended Designs: Two Independent Variables
16. Future Directions
Biography
Geoff Cumming is a professor emeritus of La Trobe University, Melbourne, Australia, and has been teaching statistics for over 50 years.
Robert Calin-Jageman is a professor of psychology and the neuroscience program director at Dominican University, River Forest, IL, USA, and has been teaching and mentoring undergraduate students since 2007.
"Cumming and Calin-Jageman are psychology’s New Statistics evangelists, and with this text they demonstrate how to train our field’s newest scholars. This book explains the statistical estimation process with patience and clarity. Just as importantly, each section keeps students in mind. The authors anticipate learners’ misconceptions, build quantitative reasoning with 'eyeballing' tips, and offer more practice just when students need it. It’s a great text for students and for anyone who wants to deepen their understanding."
Beth Morling, Professor of Psychological and Brain Sciences, University of Delaware, author of Research Methods in Psychology, and winner, 2023 Brewer Distinguished Teaching Award
"If I were teaching introductory statistics to undergraduates, this is the textbook I'd use. The things that make it distinctive are first, the focus on estimation rather than p-values (though the latter are covered), second, the link with free open-source software that allows users to explore analyses and visualisations, and third an emphasis on open science practices, coupled with red flags and examples of DFY (Don't Fool Yourself!). There are plenty of exercises, quizzes, and take-home messages, which will bring the material alive even for the most maths-phobic students."
Dorothy Bishop, Emeritus Professor of Developmental Neuropsychology, University of Oxford
"Introduction to the New Statistics is a next generation statistics textbook. Doing statistics is not the rote application of formulas and reporting answers. Statistics is a tool to support reasoning about evidence. Cumming and Calin-Jageman provide an accessible introduction to using statistics to improve reasoning. New Statistics integrates two features that are absent from other texts: meta-analysis and open science. No single study or statistical outcome provides the answer to a research question. New Statistics teaches data analysis in the context of combining evidence across many studies to gain confidence in conclusions. Also, the best data analysts will plan and show how they made their decisions to enable others to assess their reasoning. New Statistics deftly integrates open science in every chapter to illustrate how transparency and rigor are fundamental to doing statistics well."
Brian Nosek, Executive Director, Center for Open Science, Professor, University of Virginia
"A clear and accessible introduction to statistics, perfect for beginners. This book covers both the old and the new - giving students the fundamentals they need to understand their field, while equipping them with a more sophisticated understanding of the pros and cons of those established practices. The focus on open science and integration with statistical tools (e.g., jamovi) makes the book particularly useful for training future researchers."
Simine Vazire, Professor, Melbourne School of Psychological Sciences, University of Melbourne and Editor-in-Chief, Psychological Science.
