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Correlation and Regression
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Correlation and Regression
Applications for Industrial Organizational Psychology and Management

Second Edition


May 2001 | 304 pages | SAGE Publications, Inc
Correlation and Regression 2nd edition attempts to take statistical theory in correlation and regression and make it accessible to readers using words, equations, and a variety of applied examples.The examples help explain how the techniques work and under what circumstances some creativity in application is necessary. The revision keeps many of the prior classic examples, while adding even more up-to-date examples relevant to the next century of social science. The book's goal is practical; the tone is commonsensical. It is based upon the belief that one can be clear yet remain precise and accurate. The notions of practicality and common sense reflect the underlying philosophy that the application of correlation and regression is not necessarily straightforward, and it requires thinking about each technique in creative ways.
 
An Introduction, an Overview, and Some Reminders
 
A Review of the Correlation Coefficient and Its Properties
 
Testing Correlations for Statistical Significance
 
Applications of Pearson Correlation to Measurement Theory
 
Range Restriction
 
`Simple' Two-Variable Regression
 
Three Applications of Bivariate Regression
Utility Analysis, Regression to the Mean, Partial Correlation  
 
Multiple (Mostly Trivariate) Regression
 
Expanding the Regression Repertoire
Polynomial and Interaction Terms  
 
More about Regression, and Beyond

". . . the writing makes this book interesting to all levels of students. Bobko tackles tough issues in an easy way but provides references for more complex and complete treatment of the subject. . . . there is a familiarity and love of the material that radiates through the words."

Malcolm James Ree
ORGANIZATIONAL RESEARCH METHODS, April 2002

"The greatest strength of this book is the way in which the material is presented.  I particularly liked the clarity in the way that formulae were presented and that they are explained in terms of what each part contributes and the effect it has."

Rebecca Walwyn
Clinical Trials Unit, Institute of Psychiatry, London, UK
Statistical Methods in Medical Research

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