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Introduction to the New Statistics, 2nd Edition

Estimation, Open Science, and Beyond

RRP$159.99

$138.60

  • Paperback

    576 pages

  • Release Date

    21 March 2024

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Summary

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:

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Book Details

ISBN-13:9780367531508
ISBN-10:036753150X
Author:Geoff Cumming, Robert Calin-Jageman
Publisher:Taylor & Francis Ltd
Imprint:Routledge
Format:Paperback
Number of Pages:576
Edition:2nd
Release Date:21 March 2024
Weight:1.28kg
Dimensions:32mm x 180mm x 253mm
A-Format
B-Format
C-Format
Introduction to the New Statistics, 2nd Edition by Geoff Cumming - ISBN: 9780367531508
180 × 253 mm
A4
mm / in
What They're Saying

Critics Review

“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.

About The Author

Geoff Cumming

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.

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