Statistical Models for the Social and Behavioral Sciences: Multiple Regression and Limited-Dependent Variable Models

Synopsis

Multiple regression analysis has been widely used by researchers to analyze complex social problems since the 1950s. A specialization in economics, known as econometrics, developed out of a recognition that multiple regression is based upon a large number of assumptions--many of which are commonly violated in specific applications, as well as a variety of corrective measures for estimating regression models in the presence of many of the violations. Unfortunately, the mathematical sophistication required to understand the econometrics literature started out high and has continued to rise over the years. As a consequence, an understanding of the assumptions of the regression model, tests for violations, and corrective estimation approaches have failed to permeate widely many other policy-related disciplines such as political science, social work, public administration, and sociology. This book should help to ameliorate this situation by presenting a detailed and accessible discussion of multiple regression and limited-dependent variable models in the context of policy analysis.

Additional information

Contributors:
Publisher: Place of publication:
  • Westport, CT
Publication year:
  • 1998

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