Designing Experiments and Analyzing Data: A Model Comparison Perspective by Scott E. Maxwell, Harold D. Delaney, Ken Kelley
Requirements: .PDF reader, 9.45MB
Overview: Through this book’s unique model comparison approach, students and researchers are introduced to a set of fundamental principles for analyzing data. After seeing how these principles can be applied in simple designs, students are shown how these same principles also apply in more complicated designs.
Drs. Maxwell and Delaney believe that the model comparison approach better prepares students to understand the logic behind a general strategy of data analysis appropriate for various designs; and builds a stronger foundation, which allows for the introduction of more complex topics omitted from other books.
Genre: Non-Fiction > Educational
Several learning tools further strengthen the reader’s understanding:
*flowcharts assist in choosing the most appropriate technique;
*an equation cross-referencing system aids in locating the initial, detailed definition and numerous summary equation tables assist readers in understanding differences between different methods for analyzing their data;
*examples based on actual research in a variety of behavioral sciences help students see the applications of the material;
*numerous exercises help develop a deeper understanding of the subject. Detailed solutions are provided for some of the exercises and *realistic data sets allow the reader to see an analysis of data from each design in its entirety.
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