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- 2009050278 contributor B11453414.
- 2009050278 created "2010.".
- 2009050278 date "2010".
- 2009050278 date "2010.".
- 2009050278 dateCopyrighted "2010.".
- 2009050278 description "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.".
- 2009050278 description "Includes bibliographical references (p. [579]-586) and index.".
- 2009050278 extent "xxii, 605 p. :".
- 2009050278 hasFormat "Regression analysis for the social sciences.".
- 2009050278 identifier "0203892496 (e-book)".
- 2009050278 identifier "0415991544 (hardback)".
- 2009050278 identifier "9780203892497 (e-book)".
- 2009050278 identifier "9780415991544 (hardback)".
- 2009050278 identifier F?func=service&doc_library=BVB01&doc_number=019011408&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
- 2009050278 isFormatOf "Regression analysis for the social sciences.".
- 2009050278 issued "2010".
- 2009050278 issued "2010.".
- 2009050278 language "eng".
- 2009050278 publisher "New York, NY : Routledge,".
- 2009050278 relation "Regression analysis for the social sciences.".
- 2009050278 subject "519.5/36 22".
- 2009050278 subject "H61 .G578 2010".
- 2009050278 subject "Regression analysis.".
- 2009050278 subject "Social sciences.".
- 2009050278 tableOfContents "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.".
- 2009050278 title "Regression analysis for the social sciences / Rachel A. Gordon.".
- 2009050278 type "text".