Through this book's unique model comparison approach, readers 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. Learning tools further strengthen the reader's understanding, such asflowchartswhich assist in choosing the most appropriate technique; numerous summary equation tablesassist readers in understanding different methods for analyzing their data;examples based on actual researchin a variety of behavioral sciences to help students see the applications of the material;numerous exercises with detailed solutionsto help develop a deeper understanding of the subject; andrealistic data setsthat allow the reader to see an analysis of data from each design in its entirety. Updated throughout, the second edition features: increased attention to measures of effects, including confidence intervals, strength of association, and effect size estimation; an increased use of statistical packages and the graphical presentation of data; two new chapters on multilevel models; the current controversies regarding statistical reasoning; a preview of the experimental designs covered in the book; a CD with SPSS and SAS data sets for many of the text exercises, as well as tutorials reviewing basic statistics and regression; and a Web site containing examples of SPSS and SAS syntax. Appropriate for advanced courses on experimental design or analysis, applied statistics, or analysis of variance taught in departments of psychology, education, statistics, business, and other social sciences, the book is also ideal for practicing researchers in these disciplines. A prerequisite of undergraduate statistics is assumed. An Instructor's Solutions Manual is available upon adoption.Maxwell, Scott E. is the author of 'Designing Experiments and Analyzing Data A Model Comparison Perspective' with ISBN 9780805837186 and ISBN 0805837183.