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Essential Mathematics for Political and Social Research addresses an educational deficiency in the social and behavioral sciences. This 2006 book was the first of its kind to specifically address the comprehensive introduction to the mathematical principles needed by modern social scientists. The material introduces basic mathematical principles necessary to do analytical work in the social sciences, starting from first principles, but without unnecessary complexity. The core purpose is to present fundamental notions in standard notation and standard language with a clear, unified framework throughout. Through examples and exercises, this book is intended to not only motivate specific mathematical principles and practices, but also introduce the way that social science researchers use these tools. The intended emphasis is on conceptual understanding of key principles and their subsequent application.Read more
- Clear exposition of basic topics and coverage of some extended topics
- Detailed index and extensive bibliographic references
- Examples from the social and behavioral sciences
Reviews & endorsements
"Ultimately, math is a language, and Jeff Gill's new book is a comprehensive guide to its grammar, syntax, and vocabulary. The book covers essential topics for advanced social science research and will be an excellent teaching, reference, and self-study tool." --Scott Desposato, University of California, San DiegoSee more reviews
"The body of topics that Gill covers is both appropriate and desirable for any primer in mathematics. The use of substantive examples is really outstanding, and makes this a uniquely attractive commodity for political science faculty who would be teaching a mathematical research/methods class over the course of a semester." --Alan Wiseman, Ohio State University
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- Date Published: April 2006
- format: Paperback
- isbn: 9780521684033
- length: 482 pages
- dimensions: 229 x 152 x 27 mm
- weight: 0.7kg
- contains: 65 tables 209 exercises
- availability: Available
Table of Contents
1. The basics
2. Analytic geometry
3. Linear algebra: vectors, matrices and operations
4. Linear algebra continued: matrix structure
5. Elementary scalar calculus
6. Additional topics in scalar and vector calculus
7. Probability theory
8. Random variables
9. Markov chains.
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Instructors have used or reviewed this title for the following courses
- Advanced Methods: pooled cross sectional time series
- Data Analysis for Political Science
- Introduction to Political Methodology
- MPA Statistic Workshop
- Practicum in Cultural Research Methods
- Social Networks of Communication
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