". . . 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.
"synopsis" may belong to another edition of this title.
Dr. Bobko has held academic appointments in management and psychology at four state universities. He has won or been nominated for teaching awards at three universities. He is the author of over 60 articles and book chapters in selection, test fairness, statistics, goal setting, managerial decision making, measurement, standard setting, and so forth. He has authored two books, including a recent text on correlation and regression (Sage Press). He serves on numerous editorial boards and has served as Editor of the Journal of Applied Psychology.
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.
"About this title" may belong to another edition of this title.
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