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Statistical Modeling and Inference for Social Science - Analytical Methods for Social Research Gailmard, Sean (University of California, Berkeley)
Statistical Modeling and Inference for Social Science - Analytical Methods for Social Research
Gailmard, Sean (University of California, Berkeley)
Written specifically for graduate students and practitioners beginning social science research, this textbook introduces the essential statistical tools, models and theories that make up the social scientist's toolkit. Focusing on the connection between statistical procedures and social science theory, Sean Gailmard demonstrates how social scientists assess relationships between variables.
388 pages, 18 b/w illus. 18 tables
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | June 9, 2014 |
| ISBN13 | 9781107003149 |
| Publishers | Cambridge University Press |
| Pages | 388 |
| Dimensions | 161 × 237 × 26 mm · 657 g |
| Language | English |