Statistical Modeling and Inference for Social Science
- Textbook
Description
Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables…
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Key features
- Integrates social science theory and statistical models
- Focuses on statistical techniques as used by social scientists
- Assumes no prior background in statistics
- Provides extensive guidance to students on introductory reading in statistical literature
About the book
- DOI https://doi.org/10.1017/CBO9781139047449
- Series Analytical Methods for Social Research
- Subjects Politics and International Relations,Politics: General Interest,Research Methods In Politics,Research Methods in Political Science
- Format: Hardback
- Publication date: 09 June 2014
- ISBN: 9781107003149
- Dimensions (mm): 228 x 152 mm
- Weight: 0.65kg
- Contains: 18 b/w illus. 18 tables
- Page extent: 388 pages
- Availability: Available
- Format: Paperback
- Publication date: 06 April 2017
- ISBN: 9781316622223
- Dimensions (mm): 229 x 152 mm
- Weight: 0.59kg
- Contains: 18 b/w illus. 18 tables
- Page extent: 391 pages
- Availability: Available
- Format: Digital
- Publication date: 28 May 2018
- ISBN: 9781139047449
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