Introduction to the New Statistics : Estimation, Open Science, and Beyond by Robert Calin-Jageman and Geoff Cumming (2024, Trade Paperback)

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About this product

Product Identifiers

PublisherRoutledge, Chapman & Hall, Incorporated
ISBN-10036753150X
ISBN-139780367531508
eBay Product ID (ePID)13064412673

Product Key Features

Number of Pages696 Pages
Publication NameIntroduction to the New Statistics : Estimation, Open Science, and Beyond
LanguageEnglish
Publication Year2024
SubjectGeneral, Statistics
TypeTextbook
AuthorRobert Calin-Jageman, Geoff Cumming
Subject AreaMathematics, Education, Business & Economics, Psychology
FormatTrade Paperback

Dimensions

Item Length10 in
Item Width7 in

Additional Product Features

Edition Number2
Intended AudienceTrade
LCCN2023-041453
Dewey Edition23
IllustratedYes
Dewey Decimal519.544
SynopsisThis 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., 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., 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 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. A comprehensive website offers data sets, key term flashcards, learning guides, and videos describing key concepts and demonstrating the use of esci. For instructors, there are guides for teaching the new statistics and Open Science, assessment exercises, question banks, downloadable slides, and more. Altogether, the website provides engaging learning resources for traditional or flipped classrooms. See www.routledge.com/9780367531508.
LC Classification NumberQA276.8.C86 2024
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