Regression Analysis for the Social Sciences

Nonfiction, Social & Cultural Studies, Social Science, Methodology, Sociology
Cover of the book Regression Analysis for the Social Sciences by Rachel A. Gordon, Taylor and Francis
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Author: Rachel A. Gordon ISBN: 9781317607106
Publisher: Taylor and Francis Publication: March 17, 2015
Imprint: Routledge Language: English
Author: Rachel A. Gordon
ISBN: 9781317607106
Publisher: Taylor and Francis
Publication: March 17, 2015
Imprint: Routledge
Language: English

Provides graduate students in the social sciences with the basic skills 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 Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Provides graduate students in the social sciences with the basic skills 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 Stata and use of chapter exercises in which students practice programming and interpretation on the same data set. A separate set of exercises allows students to select a data set to apply the concepts learned in each chapter to a research question of interest to them, all updated for this edition.

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