Regression analysis for social scientists

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Title:

Author:

Gordon, Rachel A.

ISBN:

9780415991544

9780203892497

Personal Author:

Gordon, Rachel A.

Publication Information:

New York ; London : Routledge, c2010.

Physical Description:

xxii, 605 p. : ill. ; 24 cm.

Contents:

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.

Subject Term:

Regression analysis.

Social sciences -- Statistical methods.

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168025498433	300.1519536 G664R 2010	1	Searching... Unknown

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Summary

The book provides graduate students in the social sciences with the basic skills that they need to estimate, interpret, present, and publish basic regression models using contemporary standards.

Key features of the book include:

interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature. thorough integration of teaching statistical theory with teaching data processing and analysis. teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set.

This book is for a one-semester course. For a two-semester course, see www.routledge.com/books/details/9780415875363/