Designing Experiments and Analyzing Data A Model Comparison Perspective |
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| Author:
| Maxwell, Scott E.
Delaney, Harold D. |
| ISBN: | 978-0-585-28245-9 |
| Publication Date: | Jan 2008 |
| Publisher: | Taylor & Francis Group
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| Imprint: | Psychology Press |
| Book Format: | Other merchandise |
| List Price: | USD $100.00 |
Book Description:
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With extensive combined teaching experience, authors Maxwell and Delaney believe that it is essential to establish an integrative theme--to understand how various designs and statistical methods are interrelated--to understand the big picture of statistics. In this advanced-level experimental design and analysis of variance text, Maxwell and Delaney accomplish this goal by employing a
model comparison approachthat takes the mystery and confusion out of statistics....
More DescriptionWith extensive combined teaching experience, authors Maxwell and Delaney believe that it is essential to establish an integrative theme--to understand how various designs and statistical methods are interrelated--to understand the big picture of statistics.
In this advanced-level experimental design and analysis of variance text, Maxwell and Delaney accomplish this goal by employing a model comparison approachthat takes the mystery and confusion out of statistics. Once students understand the underlying principles of this general approach and master a few basic formulas introduced early on, they are 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.
Because the model comparison approach emphasizes the conceptual process of statistics, students gain a logical framework for problem solving they can use now and in the future. Your classroom then becomes a forum for discussing the interesting ideas of statistics and solving the types of problems psychologists encounter every day.
Maxwell and Delaney also include these motivating tools:
*flowcharts to assist students in deciding how to choose appropriate techniques for analyzing data;
*many examples based on actual research drawn from a wide range of areas in the behavioral sciences;
*numerous 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).