Designing Experiments and Analyzing Data: A Model Comparison Perspective
A Model Comparison Perspective (3rd edition)
offers an integrative conceptual framework for understanding experimental design and data analysis.
This site accompanies Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition; Maxwell, Delaney, & Kelley, 2018). Winner of the Barbara Byrne Award for Outstanding Book or Edited Volume.
This site provides supplementary material to facilitate implementing the methods discussed in the book with computing examples (in R, SPSS, & SAS) and data files for all of the datasets used in the book. We hope that site is a valuable resource for readers and instructors. Please contact us if you have suggestions for improvement.
Table of Contents
Data
Chapter Data
- AMCP – An R Package of Data Sets
- CSV Data Files (Comma Space Delimited)
- SPSS Data Files
- SAS Data Files
Exercise Data
- AMCP – An R Package of Data Sets
- CSV Data Files (Comma Space Delimited)
- SPSS Data Files
- SAS Data Files
Shiny R Web Apps
Shiny web apps are online applications that use R on a server (instead of a local machine).
These apps are based on the full power of the R language and environment for statistical computing, but do not require the user to install R or even know anything about R.
The apps are generally very simple to use.
Supplements
Solutions
Solutions Manual for Selected Exercises (i.e., the Starred Exercises)
- CONCEPTUAL BASES OF EXPERIMENTAL DESIGN AND ANALYSIS
- MODEL COMPARISONS FOR BETWEEN SUBJECTS DESIGNS
- MODEL COMPARISONS FOR DESIGNS INVOLVING WITHIN—SUBJECTS FACTORS
- MIXED-EFFECTS MODELS
About the Book
Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis.
The authors (Scott E. Maxwell, Harold D. Delaney, and Ken Kelley) first apply fundamental principles to simple experimental designs followed by an application of the same principles to more complicated designs. Their integrative conceptual framework better prepares readers to understand the logic behind a general strategy of data analysis that is appropriate for a wide variety of designs, which allows for the introduction of more complex topics that are generally omitted from other books.
About the Authors
Scott E. Maxwell
Scott E. Maxwell is the Fitzsimons Professor of Psychology at the University of Notre Dame. His research interests are in the areas of research methodology and applied behavioral statistics, with much of his recent work focusing on statistical power and accuracy in parameter estimation, especially in randomized designs.
He has served as editor of Psychological Methods; received the Samuel J. Messick Award for Distinguished Scientific Contributions by the American Psychological Association’s Division of Evaluation, Measurement, and Statistics; and has received multiple teaching awards.
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 Professor of Information Technology, Analytics, and Operations and the Associate Dean for Faculty and Research in the Mendoza College of Business at the University of Notre Dame. His work is on quantitative methodology, where he focuses on the development, improvement, and evaluation of statistical methods and measurement issues.
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.
References:
Maxwell, S. E., Delaney, H. D., & Kelley, K. (2018).
Designing experiments and analyzing data: A model comparison perspective (3rd ed).
New York, NY: Routledge.