A01=Charles S. Taber
A01=Richard John Timpone
Author_Charles S. Taber
Author_Richard John Timpone
Category=GPFC
Category=UGK
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
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green books
little green book
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QASS
Quantitative Applications in the Social Sciences
Quantitative/Statistical Research
QuantitativeStatistical Research
Product details
- ISBN 9780803972704
- Weight: 140g
- Dimensions: 139 x 215mm
- Publication Date: 13 May 1996
- Publisher: SAGE Publications Inc
- Publication City/Country: US
- Product Form: Paperback
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Why model computationally? Because these methods allow researchers to combine the rich detail of qualitative research with the rigor of quantitative and formal research, as well as to represent complex structures and processes within a theoretical model. The authors treat computational methods, including dynamic simulation (Monte Carlo methods), knowledge-based models (semantic networks, frame systems, and rule-based systems), and machine learning (connectionism, rule induction, and genetic algorithms), as a single broad-based class of research tools and develop a framework for incorporating them within established traditions of social science research. They provide a concise description of each method and a variety of social science illustrations including four detailed examples. Common to most of these methods is a straightforward underlying approach: simulate the theory by running the program. Computational Modeling concludes with a discussion of ways to validate computational models.
Professor of the department of political science
