The Sage Handbook of Regression Analysis and Causal Inference
A broad reference on regression and causal analysis
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Awards & Recognition
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Critical praise
Praise from Tom Smith
Tom Smith praises the collection and its separate discussions of cross-sectional and panel data analysis.
AlbakiReads Editorial
A broad reference on regression and causal analysis
This edited handbook surveys multivariate methods through the lens of regression analysis, covering both cross-sectional and longitudinal data. Its scope reaches from introductory material to more advanced techniques, with causal analysis serving as a recurring emphasis. The combination makes the book a structured reference for understanding how regression methods are used across different kinds of data and analytical questions, rather than a guide limited to a single technique.
Good fit for readers who enjoy
- Researchers and students in sociology or social science research seeking an overview of regression methods.
- Readers who want coverage spanning introductory and advanced multivariate techniques.
- Those working with cross-sectional or longitudinal data and interested in causal analysis.
Themes
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