| Description |
xii, 328 pages ; 26 cm |
| Contents |
1. Introduction to Data Analysis -- 2. Simple Models: Definitions of Error and Parameter Estimates -- 3. Simple Models: Models of Error and Sampling Distributions -- 4. Simple Models: Statistical Inferences about Parameter Values -- 5. Simple Regression: Estimating Models with a Single Continuous Predictor -- 6. Multiple Regression: Models with Multiple Continuous Predictors -- 7. Moderated and Nonlinear Regression Models -- 8. One-Way ANOVA: Models with a Single Categorical Predictor -- 9. Factorial ANOVA: Models with Multiple Categorical Predictors and Product Terms -- 10. Models with Continuous and Categorical Predictors: ANCOVA -- 11. Repeated-Measures ANOVA: Models with Nonindependent Errors -- 12. Continuous Predictors with Nonindependent Observations -- 13. Outliers and III-Mannered Error |
| Summary |
"This completely rewritten classic text features many new examples, insights and topics including mediational, categorical, and multilevel models. Substantially reorganized, this edition provides a briefer, more streamlined examination of data analysis. Noted for its model-comparison approach and unified framework based on the general linear model, the book provides readers with a greater understanding of a variety of statistical procedures. This consistent framework, including consistent vocabulary and notation, is used throughout to develop fewer but more powerful model building techniques. The authors show how all analysis of variance and multiple regression can be accomplished within this framework." |
|
"Intended for advanced undergraduate or graduate courses on data analysis, statistics, and/or quantitative methods taught in psychology, education, or other behavioral and social science departments, this book also appeals to researchers who analyze data. A protected website featuring additional examples and problems with data sets, lecture notes, PowerPoint presentations, and class-tested exam questions is available to adopters. This material uses SAS but can easily be adapted to other programs. A working knowledge of basic algebra and any multiple regression program is assumed."--BOOK JACKET |
| Notes |
Formerly CIP. Uk |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Mathematical statistics.
|
| Author |
McClelland, Gary H., 1947-
|
|
Ryan, Carey S.
|
| LC no. |
2008018371 |
| ISBN |
0805833889 (hbk.) |
|
9780805833881 (hbk.) |
|
