SCOTT E.MAXWELL, HAROLD D.DELANEY – DESIGNING EXPERIMENTS & ANALYZING DATA

The book introduces students and researchers to a set of fundamental principles for analyzing data. Students are shown how these same principles can be applied in more complicated designs after seeing how they can be applied in simple designs.

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.

The reader’s understanding is strengthened by several learning tools.

*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.

The second edition features:

*significantly increased attention to measures of effects, including confidence intervals, strength of association, and effect size estimation for complex and simple designs;

graphical presentation of data and increased use of statistical packages.

There are new chapters on multilevel models.

*the current controversies regarding statistical reasoning, such as the latest debates on hypothesis testing (ch. 2);

*a new preview of the experimental designs covered in the book (ch. 2);

* 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 for analyzing many of the text exercises.

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 to those who adopt the book for classroom use.

Get Scott E.Maxwell, Harold D.Delaney.

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