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Designing Experiments and Analyzing Data
A Model Comparison Perspective, Third Edition
Brief Description
Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Delaney, and Kelley first apply fundamental principles to simple experimental designs and then extend these principles to more complicated designs. Their integrative...
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Designing Experiments and Analyzing Data
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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. Ideal for students and researchers.
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Description
Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Delaney, and Kelley first apply fundamental principles to simple experimental designs and then extend these principles to more complicated designs.
Their integrative framework better prepares readers to understand the logic behind a general strategy of data analysis suitable for a wide variety of designs. This approach allows for the introduction of more complex topics often omitted from other books.
Numerous pedagogical features further facilitate understanding:
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 help readers locate the initial presentation of equations. Useful programming code and tips are provided throughout, with additional resources available online. Extensive sets of exercises help develop a deeper understanding of the subject.
Detailed solutions for some of the exercises and realistic data sets are included on the website (DesigningExperiments.com).
The pedagogical approach used throughout the book enables readers to gain an overview of experimental design, from conceptualising the research question to analysing the data. The book and its companion website, featuring web apps, tutorials, and detailed code, are ideal for students and researchers seeking the optimal way to design their studies and analyse the resulting data.
Book Details
INFORMATION
ISBN: 9780367202644
Publisher: Taylor & Francis Ltd
Format: Paperback / softback
Date Published: 06 December 2024
Country: United Kingdom
Imprint: Routledge
Edition: 3rd edition
Illustration: 218 Tables, black and white; 75 Halftones, black and white
Audience: General / adult, Tertiary education, Professional and scholarly
DIMENSIONS
Width: 178.0mm
Height: 254.0mm
Weight: 2000g
Pages: 1080
About the Author
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. Professor Maxwell 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, & Statistics, and has received multiple teaching awards.
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. His research interests in applied statistics include methods that accommodate individual differences among people. Professor Delaney received a Fulbright Award from the U.S. Department of State to spend an academic year lecturing in Budapest, Hungary.
Ken Kelley is Professor of Information Technology, Analytics, and Operations (ITAO) 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. Professor Kelley is an Accredited Professional Statistician (PStat®), recipient of the Anne Anastasi early career award by the APA's Division of Evaluation, Measurement, & Statistics, a fellow of the American Psychological Association, and an award-winning teacher.
Also by Harold D. Delaney
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Designing Experiments and Analyzing Data
Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Delaney, and 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...HardbackSold Out
Also by Ken Kelley
View all-
Designing Experiments and Analyzing Data
Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Delaney, and 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...HardbackSold Out
Also by Scott E. Maxwell
View all-
Designing Experiments and Analyzing Data
Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Delaney, and 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...HardbackSold Out
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