Researchers from a number of social sciences explore how modelling, which is now widely used throughout the several disciplines, can be used in such a way that empirical research profits most from theory. They look specifically at the potential for statistical and mathematical models, conceptual models, diagrams and maps, machines, artificial neural networks, and computer modelling for making practical use of the mass of data that increasingly sophisticated research methods have been generating over the past couple of decades. They met somewhere, sometime, for four days to share their views, which have been integrated into a coherent reference. Annotation (c) Book News, Inc., Portland, OR (booknews.com)
This book progressively works out a method of constructing models which can bridge the gap between empirical and theoretical research in the social sciences. It aims to improve the explanatory power of models. The issue is quite novel, and has benefited from a thorough examination of statistical and mathematical models, conceptual models, diagrams and maps, machines, computer simulations, and artificial neural networks.
This book progressively works out a method of constructing models which can bridge the gap between empirical and theoretical research in the social sciences. It aims to improve the explanatory power of models. The issue is quite novel, and has benefited from a thorough examination of statistical and mathematical models, conceptual models, diagrams and maps, machines, computer simulations, and artificial neural networks.
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