The authors provide a systematic treatment of the major problems involved in using regression analysis. They clearly and concisely discuss the consequences of violating the assumptions of the regression model, procedures for detecting violations, and strategies for dealing with these problems.
Table des matières
The Multiple Regression Model
A Review
Specification Error
Measurement Error
Multicollinearity
Nonlinearity and Nonadditivity
Heteroscedasticity and Autocorrelation
Additional Concerns
A propos de l’auteur
Areas of Interest:Political Behavior: political psychology and socialization; political ideology and values; prejudice and intolerance; public opinion; political participation; political sociology.Methodology: statistics; econometrics; measurement theory and scaling; analysis of covariance structures; multivariate methods; survey research methods; logic of inquiry and research design.
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