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Introduction to the New Statistics

Estimation, Open Science, and Beyond
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Brief Description
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... Read More
Format: Hardback
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This fully updated second edition is an essential introduction to inferential statistics. It is the first introductory statistics text to use an estimation approach with meta-analysis from the start and also to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research.

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

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/.
  • Colourful 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.

Book Details

INFORMATION

ISBN: 9780367531492

Publisher: Taylor & Francis Ltd

Format: Hardback

Date Published: 21 March 2024

Country: United Kingdom

Imprint: Routledge

Edition: 2nd edition

Illustration: 52 Tables, black and white; 206 Illustrations, color

Audience: Tertiary education

DIMENSIONS

Width: 178.0mm

Height: 254.0mm

Weight: 1620g

Pages: 576

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.

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