Designing Experiments and Analyzing Data: A Model Comparison Perspective, Second Edition - Hardcover

Maxwell, Scott E.; Delaney, Harold D.; Kelley, Ken

Hardcover

ISBN 10: 080583706X ISBN 13: 9780805837063

Publisher: Routledge Academic, 2000

Synopsis

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.

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.

Updated throughout, 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;
*an increased use of statistical packages and the graphical presentation of data;
*new chapters (15 & 16) 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.

About this title

Review

"Overall, this is an excellent resource for those designing and analyzing experiments, and for those wishing to consolidate their knowledge of individual designs into a unified conceptual framework."
―American Statistician

Synopsis

In this advanced level experimental design and analysis of variance text, authors Scott E. Maxwell and Harold D. Delaney employ a model comparison approach to take some of the mystery and confusion out of statistics. Once students understand the underlying principles and master a few basic formulas introduced early on, they should be able to view specific formulas for each individual design they encounter as a special case of more general formulas. In short, they are able to understand the logic that should guide their choice of a technique for a particular design. The following motivating tools are included: flowcharts to assist students in deciding how to choose appropriate techniques for analyzing data; examples based on actual research drawn from a wide range of areas in the behavioural sciences; end-of-chapter exercises - ranging from calculational to conceptual - with selected solutions at the back of the text; discussion of the logic of experimental design; and an emphasis on definitional formulas instead of computational formulas and on references to standard computer packages (SAS, SPSS and BMDP).

Edition details

• Publisher: Routledge Academic
• Publication date: 2000
• ISBN 10: 080583706X
• ISBN 13: 9780805837063
• Binding: Hardcover
• Language: English
• Edition number: 1
• Number of pages: 920