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Examples of social science research using regression analysis
Planning a quantitative research project with existing data
Basic features of statistical packages and data documentation
Basics of writing batch programs with statistical packages
Basic concepts of bivariate regression
Basic concepts of multiple regression
Dummy variables
Interactions
Nonlinear relationships
Indirect effects and omitted variable bias
Outliers, heteroskedasticity, and multicollinearity
Putting it all together and thinking about where to go next.
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Regression analysis for the social sciences by Rachel A. Gordon. ISBN 9780203892497. Published by Routledge in 2010. Publication and catalogue information, links to buy online and reader comments.