Search - Correlation and Regression: Principals and Applications for Industrial/Organizational Psychology and Management (Organizational Research Methods)

Correlation and Regression Principals and Applications for Industrial/Organizational Psychology and Management - Organizational Research Methods
Author: Philip Bobko

". . . 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 20...  more »02 "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. (20040330)  « less

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ISBN-13: 9780761923022
ISBN-10: 0761923020
Publication Date: 12/15/2001
Pages: 304
Edition: 1st
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Publisher: Sage Publications, Inc
Book Type: Hardcover
Other Versions: Paperback
Members Wishing: 0
Reviews: Amazon | Write a Review

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