‘. . . 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.
Tabla de materias
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
Sobre el autor
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.
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