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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

". . . 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

"This book provides one of the clearest treatments of correlations and regression of any statistics book I have seen. . . . Bobko has achieved his objective of making the topics of correlation and regression accessible to students. . . . For someone looking for a very clearly written treatment of applied correlation and regression, this book would be an excellent choice."

--Paul E. Spector, University of South Florida

"As a quantitative methods instructor, I have reviewed and used many statistical textbooks. This textbook and approach is one of the very best when it comes to user-friendliness, approachability, clarity, and practical utility."

--Steven G. Rogelberg, Bowling Green State University

Building on the classical examples in the first edition, this updated edition provides students with an accessible textbook on statistical theories in correlation and regression. Taking an applied approach, the author uses concrete examples to help the student thoroughly understand how statistical techniques work and how to creatively apply them based on specific circumstances they face in the "real world."

The author uses a layered approach in each chapter, first offering the student an intuitive understanding of the problems or examples and progressing through to the underlying statistics. This layered approach and the applied examples provide students with the foundation and reasoning behind each technique, so they will be able to use their own judgement to effectively choose from the alternative data analytic options.


 
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
Key features
  • Book is unique both for its coverage and writing style.
  • Re writing style, readers indicate that it is like sitting in a living room in front of a fire chatting about statistics with the author.
  • Re coverage, the book has an applications focus, so there are many applied examples of how to use and consider the techniques in unique ways. There are chapters on interactions, range restriction, and validity shrinkage – all important problems not often covered in depth. Also, the book blends statistical issues with design issues, research methods issues, and measurement issues.
  • Key words: regression, correlation, management methods, social science measurement, applied psychological methods

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ISBN: 9781506315959

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ISBN: 9780761923022
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