It is no exaggeration to say that virtually all quantitative research in the social sciences is done with correlation and regression analysis (CRA) and their siblings and offspring. CRA are fundamental analytic tools in fields like sociology, economics and political science as well as applied disciplines such as marketing, nursing, education and social work. The subject is of great substantive importance; therefore, distinguished editors, W. Paul Vogt and R. Burke Johnson, have ordered the growing research literature on the use of CRA according to its natural steps. Each step in this logical progression constitutes a volume in this collection:Volume One: Regression and Its Correlational Foundations and ConcomitantsVolume Two: Factor Analysis, Regression Diagnostics, and Model BuildingVolume Three: Data Transformations, Curvilinear Regression, and Logistic RegressionVolume Four: Multi-Level Regression Modeling, Structural Equation Modeling and Mixed Regression
Correlation and Regression Analysis
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