Inaugural winner of the Roger E. Kirk Authors of the Year Award from Division 5 of the American Psychological Association (2026), after the previous edition won the Barbara Bryne Award from the Society of Multivariate Experimental Psychology (2018).
The 4th edition of Designing Experiments and Analyzing Data is back with numerous pedagogical improvements and features further facilitate understanding in the new edition. This updated book has a plethora of improvements. The book continues to have examples of published research demonstrate the applicability of each chapter’s content; flowcharts assist in choosing the most appropriate procedure; end-of-chapter lists of important formulas highlight key ideas and assist readers in locating the initial presentation of equations; useful programming code and tips are provided throughout the book and in associated resources available on this website (DesigningExperiments.com), and extensive sets of exercises help develop a deeper understanding of the subject. The exercises are a key pedagogical feature of the book, as each is meant to teach as part of working toward answers.
Detailed solutions for some of the exercises and realistic data sets are also provided on this website. The pedagogical approach used throughout the book enables readers to gain an overview of experimental design, from conceptualization of the research question to analysis of the data. We aim for the book to be useful for students and researchers seeking the optimal way to design their studies and analyze the resulting data.
The book’s web page at Routledge is here. Instructors considering the book for adoption can request an examination copy here.
Citation
Maxwell, S. E., Delaney, H. D., & Kelley, K. (2027). Designing experiments and analyzing data: A model comparison perspective (4th ed). New York, NY: Routledge.
About the Authors
Scott E. Maxwell
Harold D. Delaney
Harold D. Delaney is Emeritus Professor of Psychology at the University of New Mexico, where he received the University’s Outstanding Graduate Teacher of the Year award for his course on experimental design and analysis, and where he directed the Psychology Honors program for 30 years.
His research interests in applied statistics include methods that accommodate individual differences among people. He received a Fulbright Award from the U.S. Department of State to spend an academic year lecturing in Budapest, Hungary, and continues to offer courses there.
Ken Kelley
Ken Kelley is the Edward F. Sorin Society Professor of Information Technology, Analytics, and Operations in the Mendoza College of Business at the University of Notre Dame. He is co-director of the Human-centered Analytics Lab (HAL), which is an interdisciplinary lab focused on the interaction of persons and technology, largely based on generative AI.
His work advances how to design studies, measure constructs, and analyze data, particularly in organizational contexts and digital environments. His goal is to make human-centered science better by bridging rigorous methods with important applications to help ask better questions and make more scientifically valid conclusions.
He is an Accredited Professional Statistician (PStat®); recipient of the Anne Anastasi early career award by the Evaluation, Measurement, & Statistics Division of the APA, and previously served as an associate editor of Psychological Methods. He is a fellow of the Society of Psychological Science and the American Psychological Association, and an elected member of the Society of Multivariate Experimental Psychology.
Table of Contents
Appendix (Statistical Tables)
Table 1: Critical Values of t Distribution
Table 2: Critical Values of F Distribution
Table 3: Critical Values of Bonferroni F Distribution With 1 Numerator df and Familywise α of .05
Table 4: Critical Values of Studentized Range Distribution
Table 5: Critical Values of Studentized Maximum Modulus Distribution
Table 6: Critical Values of Dunnett’s Two-Tailed Test for Comparing Treatments to a Control
Table 7: Critical Values of Dunnett’s One-Tailed Test for Comparing Treatments to a Control
Table 8: Critical Values of Bryant-Paulson Generalized Studentized Range
Table 9: Critical Values of Chi-Square Distribution
Table 10: Coefficients of Orthogonal Polynomials
References
Name Index
Subject Index
ISBN Information
978-1-032-69142-8 (Hardback)
978-1-041-25384-6 (Paperback)
978-1-003-47625-2 (Electronic)