Correlation and Regression: Applications for Industrial Organizational Psychology and Management - Organizational Research Methods (Paperback)
  • Correlation and Regression: Applications for Industrial Organizational Psychology and Management - Organizational Research Methods (Paperback)
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Correlation and Regression: Applications for Industrial Organizational Psychology and Management - Organizational Research Methods (Paperback)

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£107.00
Paperback 304 Pages / Published: 22/05/2001
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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.

Publisher: SAGE Publications Inc
ISBN: 9780761923039
Number of pages: 304
Weight: 540 g
Dimensions: 254 x 177 x 19 mm
Edition: 2nd Revised edition


MEDIA REVIEWS

". . . 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
"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 * Statistical Methods in Medical Research *

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