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Description
This book is for students taking either a first-year graduate statistics course or an advanced undergraduate statistics course in Psychology. Enough introductory statistics is briefly reviewed to bring everyone up to speed. The book is highly user-friendly without sacrificing rigor, not only in anticipating students' questions, but also in paying attention to the introduction of new methods and notation. In addition, many topics given only casual or superficial treatment are elaborated here, such as: the nature of interaction and its interpretation, in terms of theory and response scale transformations; generalized forms of analysis of covariance; extensive coverage of multiple comparison methods; coverage of nonorthogonal designs; and discussion of functional measurement. The text is structured for reading in multiple passes of increasing depth; for the student who desires deeper understanding, there are optional sections; for the student who is or becomes proficient in matrix algebra, there are still deeper optional sections. The book is also equipped with an excellent set of class-tested exercises and answers.
Table of Contents
What We Do in an ANOVA
Some Geometry of the ANOVA
Two Factor Designs and Three Factor Designs
Computations and Display
Nested Factors
Random Effects Models
Repeated Measurement Designs
Contrasting Effects
Trend Tests
Multiple Comparisons
Regression, ANOVA, and the General Linear Model
Some Fine Points
Some Advanced Applications
Nonorthogonal Designs
Experimental Design
Appendix 1: Random Variables and Their Expectations
Appendix 2: Vectors and Matrices
Appendix 3: Statistical Tables and Charts
References
Index
Product details
| Published | 17 Jan 1994 |
|---|---|
| Format | Hardback |
| Edition | 1st |
| Extent | 582 |
| ISBN | 9780275947200 |
| Imprint | Praeger |
| Dimensions | 235 x 156 mm |
| Publisher | Bloomsbury Publishing |
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