Andy Field

An Adventure in Statistics (eBook, ePUB)

The Reality Enigma

• Format: ePub

Produktbeschreibung

APEX Award 2023 for Publication Excellence: Print Media - Education & Training
Shortlisted for the British Psychological Society Book Award 2017
Shortlisted for the British Book Design and Production Awards 2016
Shortlisted for the Association of Learned & Professional Society Publishers Award for Innovation in Publishing 2016

Now in its second edition, An Adventure in Statistics: The Reality Enigma by best-selling author and award-winning teacher Andy Field offers a better way to learn statistics. It combines rock-solid statistics coverage with compelling visual storytelling to address the conceptual difficulties that students learning statistics for the first time often encounter in introductory courses. Students are guided away from rote memorization towards independent, critical thinking and problem solving.

This essential foundation to understanding statistics is woven into the unique action-packed story of Zach, who thinks, processes information and faces challenges to his understanding in the same way as a statistics novice. Illustrated with stunning, graphic novel-style art and featuring Socratic dialogue, the story captivates readers as it introduces them to concepts, eliminating potential statistics anxiety.

No previous statistics knowledge is presumed, and no use of data analysis software is required - everything you would expect for an introductory course is covered but with a contemporary twist, arming students with a strong grounding in understanding classical and Bayesian approaches to data analysis.

With its unique combination of story, concepts and terminology, this complete introduction to statistics from bestselling author Andy Field breaks the mould to present a statistical tale like no other.

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Produktdetails

• Verlag: SAGE Publications
• Seitenzahl: 664
• Erscheinungstermin: 25. März 2022
• Englisch
• ISBN-13: 9781529797756
• Artikelnr.: 63076855

Autorenporträt

Andy Field is Professor of Quantitative Methods at the University of Sussex. He has published widely (100+ research papers, 29 book chapters, and 17 books in various editions) in the areas of child anxiety and psychological methods and statistics. His current research interests focus on barriers to learning mathematics and statistics.

He is internationally known as a statistics educator. He has written several widely used statistics textbooks including Discovering Statistics Using IBM SPSS Statistics (winner of the 2007 British Psychological Society book award), Discovering Statistics Using R, and An Adventure in Statistics (shortlisted for the British Psychological Society book award, 2017; British Book Design and Production Awards, primary, secondary and tertiary education category, 2016; and the Association of Learned & Professional Society Publishers Award for innovation in publishing, 2016), which teaches statistics through a fictional narrative and uses graphic novel elements. He has also written the adventr and discovr packages for the statistics software R that teach statistics and R through interactive tutorials.

His uncontrollable enthusiasm for teaching statistics to psychologists has led to teaching awards from the University of Sussex (2001, 2015, 2016, 2018, 2019), the British Psychological Society (2006) and a prestigious UK National Teaching fellowship (2010).

He's done the usual academic things: had grants, been on editorial boards, done lots of admin/service but he finds it tedious trying to remember this stuff. None of them matter anyway because in the unlikely event that you've ever heard of him it'll be as the 'Stats book guy'. In his spare time, he plays the drums very noisily in a heavy metal band, and walks his cocker spaniel, both of which he finds therapeutic.

Inhaltsangabe

Prologue
Chapter 1: Why you need science
Chapter 2: Reporting research, variables and measurement
Chapter 3: Summarizing data
Chapter 4: Fitting models (central tendency)
Chapter 5: Presenting data
Chapter 6: Z-scores
Chapter 7: Probability
Chapter 8: Inferential statistics: going beyond the data
Chapter 9: Robust estimation
Chapter 10: Hypothesis testing
Chapter 11: Modern approaches to theory testing
Chapter 12: Assumptions
Chapter 13: Relationships
Chapter 14: The general linear model
Chapter 15: Comparing two means
Chapter 16: Comparing several means
Chapter 17: Factorial designs
Epilogue: The genial night