Finding Ways to Be Less Wrong: Applied Statistical Analysis in Educational and Behavioral Sciences

Author(s): Kyle Wagner

Edition: 1

Copyright: 2026

Pages: 250

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$45.00 USD

ISBN 9798385133000

Details eBook w/Ancillary Site 180 days

Finding Ways to Be Less Wrong manages to combine rigor with approachability. Written in a conversational, engaging style, this text presents statistics as a discipline that anyone can learn (and maybe even enjoy). Wagner invites readers into a friendly dialogue about data, emphasizing logic and understanding over memorization.

Step by step, students are guided through the reasoning behind common statistical analyses and shown how to conduct them using Microsoft Excel, JASP, and R Studio. Each example is designed to build confidence and deepen comprehension through hands-on application.

Students who may begin the course feeling anxious about statistics will find in this book an encouraging companion that (hopefully) replaces fear with curiosity and clarity.

Ideal for undergraduate and master’s-level courses emphasizing applied understanding and practical use of statistical concepts, this text helps readers not just calculate correctly, but think statistically (and be just a little less wrong in the process).

Chapter 1 Introduction 

Chapter 2 Software 

Chapter 3 Data 

Chapter 4 Central Tendency 

Chapter 5 Distributions 

Chapter 6 Correlation 

Chapter 7 T-Tests 

Chapter 8 ANOVA 

Chapter 9 Factorial ANOVA, ANCOVA, and Regression 

Chapter 10 Chi-Square 

Appendix Stuff That Didn’t Fit Well into the Chapters

Index

Kyle Wagner

Finding Ways to Be Less Wrong manages to combine rigor with approachability. Written in a conversational, engaging style, this text presents statistics as a discipline that anyone can learn (and maybe even enjoy). Wagner invites readers into a friendly dialogue about data, emphasizing logic and understanding over memorization.

Step by step, students are guided through the reasoning behind common statistical analyses and shown how to conduct them using Microsoft Excel, JASP, and R Studio. Each example is designed to build confidence and deepen comprehension through hands-on application.

Students who may begin the course feeling anxious about statistics will find in this book an encouraging companion that (hopefully) replaces fear with curiosity and clarity.

Ideal for undergraduate and master’s-level courses emphasizing applied understanding and practical use of statistical concepts, this text helps readers not just calculate correctly, but think statistically (and be just a little less wrong in the process).

Chapter 1 Introduction 

Chapter 2 Software 

Chapter 3 Data 

Chapter 4 Central Tendency 

Chapter 5 Distributions 

Chapter 6 Correlation 

Chapter 7 T-Tests 

Chapter 8 ANOVA 

Chapter 9 Factorial ANOVA, ANCOVA, and Regression 

Chapter 10 Chi-Square 

Appendix Stuff That Didn’t Fit Well into the Chapters

Index

Kyle Wagner