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Designing Experiments and Analyzing Data - A Model Comparison Perspective, Third Edition (Hardcover, 3rd edition)
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Designing Experiments and Analyzing Data - A Model Comparison Perspective, Third Edition (Hardcover, 3rd edition)
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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 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. 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 assist readers in
locating the initial presentation of equations; useful programming
code and tips are provided throughout the book and in associated
resources available online, and 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 conceptualization of the research
question to analysis of the data. The book and its companion
website with web apps, tutorials, and detailed code are ideal for
students and researchers seeking the optimal way to design their
studies and analyze the resulting data.
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