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Applied Regression Analysis - Doing, Interpreting and Reporting (Hardcover)
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Applied Regression Analysis - Doing, Interpreting and Reporting (Hardcover)
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This book is an introduction to regression analysis, focusing on
the practicalities of doing regression analysis on real-life data.
Contrary to other textbooks on regression, this book is based on
the idea that you do not necessarily need to know much about
statistics and mathematics to get a firm grip on regression and
perform it to perfection. This non-technical point of departure is
complemented by practical examples of real-life data analysis using
statistics software such as Stata, R and SPSS. Parts 1 and 2 of the
book cover the basics, such as simple linear regression, multiple
linear regression, how to interpret the output from statistics
programs, significance testing and the key regression assumptions.
Part 3 deals with how to practically handle violations of the
classical linear regression assumptions, regression modeling for
categorical y-variables and instrumental variable (IV) regression.
Part 4 puts the various purposes of, or motivations for, regression
into the wider context of writing a scholarly report and points to
some extensions to related statistical techniques. This book is
written primarily for those who need to do regression analysis in
practice, and not only to understand how this method works in
theory. The book's accessible approach is recommended for students
from across the social sciences.
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