The explanatory power of models : bridging the gap between empirical and theoretical research in the social sciences

List of Authors. General Introduction R. Franck. Part I: Statistical Modelling and the Need for Theory. Introduction to Part I R. Franck. 1. The determinants of infant mortality: how far are conceptual frameworks really modelled? G. Masuy-Stroobant. 2. The role of statistical and formal techniques in experimental psychology G. Lories. 3. Explanatory models in suicide research: explaining relationships A.-M. Aish-v. Vaerenbergh. 4. Attitudes towards ethnic minorities and support for ethnic discrimination, A test of complementary models P. Scheepers, et al. Conclusions of Part I R. Franck. Part II: Computer Simulation and the Reverse Engineering Method. Introduction to Part II R. Franck. 5. Computer simulation methods to model macroeconomics A. de Callatay. 6. The explanatory power of Artificial Neural Networks M. Verleysen. Conclusions of Part II R. Franck. Part III: Models and Theory. Introduction to Part III R. Franck. 7. On modelling in human geography D. Peeters. 8. The explanatory power of migration models M. Termote. 9. The role of models in comparative politics C. Mironesco. 10. Elementary mathematical modelization of games and sports P. Parlebas. Conclusions of Part III R. Franck. Part IV: Epistemological Landmarks. Introduction to Part IV R. Franck. 11. Computer modelling of theory, explanation for the 21st century T.K. Burch. 12. The logistic analysis of explanatory theories in archaeology J.-C. Gardin. Conclusions of Part IV R. Franck. General Conclusion R. Franck. Subject Index. Name Index.