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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