Powerful ideas from top nonfiction
Try Blinkist to get the key ideas from 7,500+ bestselling nonfiction titles and podcasts. Listen or read in just 15 minutes.
Get started for free
Blink 3 of 8 - The 5 AM Club
by Robin Sharma
Introduction to the New Statistics summary
Geoff Cumming
Robert Calin-Jageman
Brief summary
Introduction to the New Statistics by Geoff Cumming and Robert Calin-Jageman provides a fresh and accessible approach to statistical reasoning. It focuses on effect sizes, confidence intervals, and meta-analysis, offering a more informative and transparent way to conduct and interpret research.
Topics
Table of Contents
Introduction to the New Statistics
Summary of key ideas
Understanding the New Statistics
In Introduction to the New Statistics by Geoff Cumming and Robert Calin-Jageman, we are introduced to the new statistics, a modern approach to statistical analysis that emphasizes estimation over testing. The authors argue that this new approach, which focuses on effect sizes, confidence intervals, and meta-analysis, provides a more informative and reliable way to interpret research findings.
The book begins by contrasting the traditional null hypothesis significance testing (NHST) approach with the new statistics. It explains the limitations of NHST, such as its reliance on p-values and dichotomous decisions, and introduces the concept of effect sizes, which measure the strength of an observed effect. The authors emphasize that effect sizes are crucial for understanding the practical significance of research findings.
Confidence Intervals and Meta-Analysis
Next, Introduction to the New Statistics delves into confidence intervals (CIs), which provide a range of plausible values for an effect size. The book explains how CIs offer more information than p-values, as they show the precision of an estimate and allow researchers to make inferences about the population parameter. The authors also discuss the importance of meta-analysis, a statistical technique that combines the results of multiple studies to provide a more comprehensive understanding of a research question.
Throughout the book, Cumming and Calin-Jageman use clear, real-world examples to illustrate the concepts they introduce. They also provide practical guidance on how to calculate and interpret effect sizes, CIs, and meta-analytic results. This approach helps readers understand the new statistics in a meaningful and applicable way.
Open Science and Replication
In the latter part of the book, the authors introduce the principles of Open Science, an emerging movement that promotes transparency, reproducibility, and openness in research. They discuss the importance of pre-registration, sharing data and materials, and conducting replication studies. The new statistics, they argue, aligns well with the goals of Open Science, as it encourages researchers to focus on the magnitude and precision of effects rather than just statistical significance.
Furthermore, Introduction to the New Statistics emphasizes the need for a shift in research culture towards valuing quality over quantity, and the authors provide practical suggestions for implementing Open Science practices in research. They also address common concerns and misconceptions about Open Science, helping readers understand its potential benefits and challenges.
Conclusion and Practical Application
In conclusion, Introduction to the New Statistics offers a comprehensive and accessible introduction to the new statistics and Open Science. The book provides a strong argument for why the new statistics is a more informative and reliable approach to statistical analysis, and it equips readers with the knowledge and tools to apply these methods in their own research.
By the end of the book, readers should have a solid understanding of effect sizes, confidence intervals, meta-analysis, and Open Science, and be able to critically evaluate and conduct research using the new statistics. Whether you are a student, researcher, or practitioner in the social or health sciences, this book offers valuable insights and practical guidance for embracing the new statistics in your work.
How do we create content on this page?
More knowledge in less time
Read or listen
Get the key ideas from nonfiction bestsellers in minutes, not hours.
Find your next read
Get book lists curated by experts and personalized recommendations.
Shortcasts New
We’ve teamed up with podcast creators to bring you key insights from podcasts.
What is Introduction to the New Statistics about?
Introduction to the New Statistics provides a fresh perspective on statistical methods in psychological research. Authors Geoff Cumming and Robert Calin-Jageman introduce readers to the concept of estimation, emphasizing effect sizes, confidence intervals, and meta-analysis over traditional hypothesis testing. This book revolutionizes the way statistics is taught and used in the field, promoting transparency and reproducibility in scientific studies.
Introduction to the New Statistics Review
Introduction to the New Statistics (2016) is an essential book for anyone seeking to understand and implement modern statistical techniques. Here's what makes this book worth reading:
- It offers a practical and accessible approach to statistical analysis, providing readers with the necessary tools to analyze and interpret data effectively.
- With its emphasis on understanding and interpreting effect sizes, the book challenges traditional statistical methods and encourages a more nuanced understanding of research findings.
- It breaks away from dry statistical textbooks with its engaging and relatable examples, making the subject matter interesting and relevant to a wide range of readers.
Who should read Introduction to the New Statistics?
- Undergraduate or graduate students studying psychology, social sciences, or health sciences
- Researchers and professionals who want to update their statistical knowledge
- Educators looking to incorporate the “new statistics” into their teaching curriculum
Categories with Introduction to the New Statistics
Book summaries like Introduction to the New Statistics
People ❤️ Blinkist
Sven O.
It's highly addictive to get core insights on personally relevant topics without repetition or triviality. Added to that the apps ability to suggest kindred interests opens up a foundation of knowledge.
Thi Viet Quynh N.
Great app. Good selection of book summaries you can read or listen to while commuting. Instead of scrolling through your social media news feed, this is a much better way to spend your spare time in my opinion.
Jonathan A.
Life changing. The concept of being able to grasp a book's main point in such a short time truly opens multiple opportunities to grow every area of your life at a faster rate.
Renee D.
Great app. Addicting. Perfect for wait times, morning coffee, evening before bed. Extremely well written, thorough, easy to use.
People also liked these summaries
4.8 Stars
Average ratings on iOS and Google Play
43 Million
Downloads on all platforms
10+ years
Experience igniting personal growth
Introduction to the New Statistics FAQs
What is the main message of Introduction to the New Statistics?
The main message of Introduction to the New Statistics is that traditional statistical methods have limitations, and there is a need for a new approach that emphasizes effect sizes, estimation, and meta-analysis.
How long does it take to read Introduction to the New Statistics?
The reading time for Introduction to the New Statistics varies depending on the individual, but it typically takes several hours. The Blinkist summary can be read in just 15 minutes.
Is Introduction to the New Statistics a good book? Is it worth reading?
Introduction to the New Statistics is worth reading as it introduces a fresh perspective on statistical methods, providing practical tips and insights that can enhance research and decision-making.
Who is the author of Introduction to the New Statistics?
The author of Introduction to the New Statistics is Geoff Cumming and Robert Calin-Jageman.
What to read after Introduction to the New Statistics?
If you're wondering what to read next after Introduction to the New Statistics, here are some recommendations we suggest:
- Where Good Ideas Come From by Steven Johnson
- Incognito by David Eagleman
- God Is Not Great by Christopher Hitchens
- A Brief History of Time by Stephen Hawking
- The Selfish Gene by Richard Dawkins
- Simply Complexity by Neil F. Johnson
- Antifragile by Nassim Nicholas Taleb
- Physics of the Future by Michio Kaku
- The Black Swan by Nassim Nicholas Taleb
- Musicophilia by Oliver Sacks