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Regression Analysis in R: A Comprehensive View for the Social Sciences

Author: Jocelyn H. Bolin 0 13 Views 0 Downloads
Price:
57.90 ؋ 40.53 ؋
Short Description:
Central social science regression techniques are examined through R with applied examples and detailed coverage of modeling assumptions.
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Focusing on regression analysis in social sciences, this book presents a detailed exploration from basic multiple linear regression to complex model extensions using R software. Intended for graduate social science students, it teaches foundational concepts including bivariate correlation and assumptions of regression, progressing to practical application of dummy variables, interaction effects, and hierarchical models. Each chapter features real data examples, R code demonstrations, and exercises for reinforcement. The text requires no prior R knowledge and includes a primer for beginners. It addresses common research challenges such as checking model assumptions and comparing nested and non-nested models. This book serves as a methodical and applied statistical resource guiding users through regression analysis tailored to social science data and interpretation.

Additional Information

Title
Regression Analysis in R: A Comprehensive View for the Social Sciences
Translator
-
Book Format
PDF
Book Type
Digital
Number of Pages
193
Publication Year
2023
Book Size
5.7 MB
Book Language
English

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