Regression analysis is the most widely used method in applied statistics. The method has many facets and provides many options. Introductory textbooks typically cover only standard ordinary least-squares regression. Regression Analysis for Social Services covers many more options, including robust regression, curvilinear regression, symmetrical regression, ridge regression, piecewise regression, regression for longitudinal data, and the partial interaction method for dealing with interaction problems. Sample applications are presented and sample command files are included for SYSTAT and S+. Results of analyses and characteristics of solutions are illustrated in over 50 figures. Key Features * Covers a comprehensive array of models of regression * Explains technical and application features of methods * Presents sample command files in SYSTAT and S+ * Presents numerous data examples * Illustrates characteristics of methods in over 50 graphical displays * Includes sample data files Benefits to Readers * Illustrates the flexibility of regression methods so readers can tailor their plans for data analysis for more valid answers to their research questions * Shows how to answer research questions that cannot be answered using standard methods of regression * Teaches readers how to incorporate graphics in the presentation of results * Helps readers develop abilities to match research questions and statistical methods.
Regression Analysis for Social Sciences