Summary
Contents
Berry and Feldman provide a systematic treatment of many of the major problems encountered in using regression analysis. The authors discuss: the consequences of violating the assumptions of the regression model; procedures for detecting when such violations occur; and strategies for dealing with these problems when they arise. The monograph was written without the use of matrix algebra, and numerous examples are provided from political science, sociology, and economics.
Introduction
Introduction
Multiple regression analysis is an important tool for social scientists in the analysis of nonexperimental data. When the assumptions of regression analysis are met, the coefficient estimates derived for a random sample will have many desirable properties. In the real world of research, however, one or more of ...