## Simulation model building: A statistical approach to modelling in the social sciences with the simulation method |

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### Contents

Simulation as an aid in making syntheses | 18 |

The modelled systems | 46 |

Testing the theoretical part of models | 62 |

12 other sections not shown

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### Common terms and phrases

adapt analysis applied aspects assumed assumptions behaviour Braten Bunge causal Chapter characteristics coactor coefficient concept conditional distribution conditional expectations connection consists construction cybernetics described developed discussion dispersion matrix distribution educational empirical endogenous variables equifinality estimation example experimental factor values formulation Fractional factorial designs function give given illustrated index of simplicity input interaction interpretation Klir & Valach knowledge logistic system mean value measurement errors mechanism method model building model specification model structure model system Monte Carlo method Norlen Norwegian Computing Center null hypothesis objects observations obtained output parameters person point of departure possible predetermined variables present probability probability vector problem programming language question real system reduced form reference relation simulation experiments simulation models situation Solna statistical stochastic structural form subsystems system St systems theory testing theoretical theory time-point time-series tion Turing tests twenty students validation vector Wold