Title: Introduction to the New Statistics Estimation, Open Science, and Beyond
Publisher: Routledge
Publication Date: 2024
Language: English
ISBN 10: 036753150X
ISBN 13: 9780367531508
Binding: Soft cover
Edition: 2nd Edition
Condition: New

About this title

Synopsis

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.

About the Author

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.

"About this title" may belong to another edition of this title.

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