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 approach that 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).
- ISBN13 9781135654030
- Publish Date 1 January 2008 (first published 1 December 1999)
- Publish Status Cancelled
- Out of Print 14 September 2021
- Publish Country GB
- Publisher Taylor & Francis Ltd
- Imprint Psychology Press Ltd
- Format eBook
- Pages 920
- Language English