Multiple Regression in Behavioral Research adopts a data-analysis approach to multiple regression. Pedhazur integrates design and analysis, and emphasizes learning by example and critiques of published research. Features: * Pedhazur places strong emphasis on the application of regression analysis to various research problems. He discusses major research studies and journal articles in conjunction with specific methods presented. This emphasis gives students a critical appreciation of how methods are used and abused in various research areas. * Chapters 11-15 discuss various coding methods for categorical variables. This detailed explanation teaches students the properties of different coding methods and their suitability for specific tasks. * Multiple Regression introduces path analysis and structural equation models, including indices of fit and decomposition of effects. This information, in Part 3, exposes students to recent developments in the field. New to this edition: * Pedhazur demonstrates applications of all analytic approaches with detailed analyses of simple numerical examples. He uses the most recent versions of BMDP, MINITAB, SAS, and SPSS, provides examples of the computer outputs, and comments on them in detail. * The latest versions of EQS and LISREL programs for the structural equation modeling are also introduced and used for analyzing causal models with single indicators (path analysis) and multiple indicators or unobserved variables. * New chapters include Chapter 3, Regression Diagnostics, Chapter 16, Elements of Multilevel Analysis and Chapter 17, Categorical Dependent Variable: Logistic Regression.
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Most Helpful Customer Reviews
15 of 17 people found the following review helpful:
5.0 out of 5 stars
An excellent intorduction to linear regression,
By A Customer
This review is from: Multiple regression in behavioral research (Hardcover)
Pedhazur's third edition of this text that he began with Kerlinger is an excellent introduction to linear regression. I use this text in a statistics course that I teach to first-year graduate students and they have responded favourably to me about the book. Pedhazur is a stickler for 'getting it right,' which is critically important for the serious student to learn at this stage. The book is replete with examples of both doing it right and doing it wrong (the latter culled from the literature). If you want to learn how to do linear regression correctly, this text is excellent within its scope as a primer. The introductory chapters on multilevel modelling and logistic regression are nice touches. All in all a very useful text.
9 of 10 people found the following review helpful:
5.0 out of 5 stars
A Great Regression Book for a Class Devoted to Regression,
By
This review is from: Multiple regression in behavioral research (Hardcover)
This is a wonderful text for a class primarily dedicated to multiple regression. I own and have read many regression textbooks, and this continues to be one of the very best! The reader reviews below appear to mostly be expressing frustration with instructors, and not this text. If you are taking an introductory course in which regression is one of many topics, this book may be too advanced for your needs (and may be a poor choice by your instructor!). However, if you are taking a course dedicated to regression (linear and logistic; or general linear models in general), this is one of the very best text available!
20 of 25 people found the following review helpful:
2.0 out of 5 stars
Not very good, overall.,
By A Customer
This review is from: Multiple regression in behavioral research (Hardcover)
My graduate class had this text last semester for psychology statistics. No one in the class liked the text very much, and some refrained from reading it for exams due to the difficulty in extracting out useful concepts and materials. Much of the text is devoted to various statistical software packages, but this may be of limited value if you don't have the exact software version listed in the text. I had SPSS 9.0 which has different syntax from the earlier SPSS version in the text. In addition, the author appears to editorialize too much, and with too much animosity, further hindering the learning process. I am interested in (re)learning some more of the details of the various regression techniques, but do not want to wade through all the irrelevant material to do so. I'm actually looking for a better text on the subject on Amazon now. This semester, we are focusing on ANOVAs and are using "Design and Analysis" (3rd Ed) by Keppel. It's an excellent text, very clear, and (the perhaps "easier" material notwithstanding) a direct contrast to Pedhazur. However, I'm keeping Pedhazur as a last-ditch reference, as it does appear to have broad coverage of regression. This is the main reason I gave it two stars instead of one.
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