Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences 3rd

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Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See all condition definitionsopens in a new window or tab
Seller Notes
“Small bend/tear on bottom of spine, included in picture 3 Otherwise wonderful condition!”
Brand
Unbranded
Educational Level
Adult & Further Education
MPN
Does not apply
ISBN
9780805822236
Category

About this product

Product Identifiers

Publisher
Routledge
ISBN-10
0805822232
ISBN-13
9780805822236
eBay Product ID (ePID)
2362253

Product Key Features

Number of Pages
736 Pages
Publication Name
Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
Language
English
Subject
Probability & Statistics / Multivariate Analysis, Probability & Statistics / Regression Analysis, General, Statistics, Research & Methodology
Publication Year
2002
Type
Textbook
Author
Leona S. Aiken, Stephen G. West, Patricia Cohen, Jacob Cohën
Subject Area
Mathematics, Social Science, Psychology
Format
Hardcover

Dimensions

Item Height
2 in
Item Weight
50.5 Oz
Item Length
10.1 in
Item Width
7.3 in

Additional Product Features

Edition Number
3
Intended Audience
Scholarly & Professional
LCCN
2002-072068
Reviews
"...anyone with an interest in or need to carry out MR will find it invaluable." - British Journal of Mathematical and Statistical Psychology "I can't see how a practicing research psychologist could be without a copy." - Dr. Steven P. Reise, University of California at Los Angeles "Overall we think the book successfully reflects more contemporary issues, thinking, and advances in multiple regression and correlation....The general style and format, consistent with the previous editions, is understandable while still retaining depth and comprehensiveness." - Drs. Lynda A. and Daniel W. King, Boston University School of Medicine "I think VERY highly of this revision....The chapter on regression diagnostics and graphics (Ch. 4) is a wonderful addition. Also, the emphasis on confidence intervals is great, as is the extensive discussion on logistic regression." - Dr. William F. Chaplin, University of Alabama, Tuscaloosa "I have always felt that the book's major strength was its ability to blend careful, thoughtful explanation with a relatively non-technical exposition....I am happy to say that in my opinion this edition retains and furthermore expands upon this strength." - Dr. Harry Reis, University of Rochester, "...anyone with an interest in or need to carry out MR will find it invaluable." - British Journal of Mathematical and Statistical Psychology "I can't see how a practicing research psychologist could be without a copy." - Dr. Steven P. Reise, University of California at Los Angeles "Overall we think the book successfully reflects more contemporary issues, thinking, and advances in multiple regression and correlation....The general style and format, consistent with the previous editions, is understandable while still retaining depth and comprehensiveness." - Drs. Lynda A. and Daniel W. King, Boston University School of Medicine "I think VERY highly of this revision....The chapter on regression diagnostics and graphics (Ch. 4) is a wonderful addition. Also, the emphasis on confidence intervals is great, as is the extensive discussion on logistic regression." - Dr. William F. Chaplin, University of Alabama, Tuscaloosa "I have always felt that the book's major strength was its ability to blend careful, thoughtful explanation with a relatively non-technical exposition....I am happy to say that in my opinion this edition retains and furthermore expands upon this strength." - Dr. Harry Reis, University of Rochester confidence intervals is great, as is the extensive discussion on logistic regression." - Dr. William F. Chaplin, University of Alabama, Tuscaloosa "I have always felt that the book's major strength was its ability to blend careful, thoughtful explanation with a relatively non-technical exposition....I am happy to say that in my opinion this edition retains and furthermore expands upon this strength." - Dr. Harry Reis, University of Rochester
Illustrated
Yes
Table Of Content
Contents: Preface. Introduction. Bivariate Correlation and Regression. Multiple Regression/Correlation With Two or More Independent Variables. Data Visualization, Exploration, and Assumption Checking: Diagnosing and Solving Regression Problems I. Data-Analytic Strategies Using Multiple Regression/Correlation. Quantitative Scales, Curvilinear Relationships, and Transformations. Interactions Among Continuous Variables. Categorical or Nominal Independent Variables. Interactions With Categorical Variables. Outliers and Multicollinearity: Diagnosing and Solving Regression Problems II. Missing Data. Multiple Regression/Correlation and Causal Models. Alternative Regression Models: Logistic, Poisson Regression, and the Generalized Linear Model. Random Coefficient Regression and Multilevel Models. Longitudinal Regression Methods. Multiple Dependent Variables: Set Correlation. Appendices: The Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements. Determination of the Inverse Matrix and Applications Thereof.
Edition Description
Revised edition,New Edition
Synopsis
Classic text on applied multiple regression considered the bible among graduate students and researchers., This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 . Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.
LC Classification Number
HA31.3.A67 2003

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