Description
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. 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. 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
