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The editors of the new Sage Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.
This is a very useful book. It provides an up-to-date overview of the most prominent data analysis methods employed in modern social science research. The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition. The book will be invaluable as a source for basic reading assignments for graduate students.
Best and Wolf have put together a powerful collection. It covers all major topics and varieties of regression analysis used by social scientists and is especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis. Best and Wolf have recruited top specialists from both Europe and North America and they comprehensively cover regression analysis for both cross-sectional and panel data.
This title is also available on SAGE Knowledge, the ultimate social sciences online library. If your library doesn’t have access, ask your librarian to start a trial.
This title is also available on SAGE Research Methods, the ultimate digital methods library. If your library doesn’t have access, ask your librarian to start a trial.