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This textbook provides graduate students in the social sciences with the essential skills needed to estimate, interpret, present, and publish basic regression models using contemporary standards. It offers a balanced approach, integrating statistical theory with practical application. Key features include: Interweaving statistical concepts with examples developed from publicly available social science data or drawn from the literature. Thorough integration of teaching statistical theory with teaching data processing and analysis. Instruction on the use of statistical software, such as Stata, to apply concepts learned in each chapter. Exercises that allow students to practice programming and interpretation on the same data set, as well as select a data set to apply the concepts to a research question of interest to them.

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245: $a: Regression Analysis for the Social Sciences
245: $b:
082: $a:
100: $a: Rachel A. Gordon
650: $a: Social Sciences / Statistics
250: $a:
440: $v:
250: $b: Routledge
250: $c: 2015
020: $a: 9781138812512
300: $a: