Political Attitudes
-15%
portes grátis
Political Attitudes
Computational and Simulation Modelling
Voinea, Camelia Florela
John Wiley & Sons Inc
08/2016
352
Dura
Inglês
9781118833148
15 a 20 dias
Political Science has traditionally employed empirical research and analytical resources to understand, explain and predict political phenomena. One of the long-standing criticisms against empirical modeling targets the static perspective provided by the model-invariant paradigm.
Preface ix Acknowledgements xix Introduction xxi PART I SOCIAL AND POLITICAL ATTITUDE MODELLING 1 1 Attitudes: A Brief History of the Concept 3 2 Political Attitudes: Conceptual and Computational Modelling Backgrounds 31 PART II SOCIAL AND POLITICAL INFLUENCE MODELS OF ATTITUDE CHANGE 63 3 Voting Choice Computer Simulation Model 65 4 Community Referendum Model 83 PART III THE ROLE OF PHYSICAL SPACE IN POLITICAL ATTITUDE MODELLING 93 5 Social Impact Theory and Model 95 6 Dynamic Social Impact Theory and Model 107 PART IV POLITICAL ATTITUDE APPROACHES BASED ON SOCIAL INFLUENCE, CULTURE CHANGE AND COLLECTIVE ACTION MODELLING 139 7 Culture Dissemination Model 141 8 Diversity Survival Model 147 9 Collective Action Modelling 159 PART V MULTIDIMENSIONAL SPATIAL MODELS 165 10 The System Dynamics Modelling Paradigm 169 11 Multidimensional Attitude Change Models. Galileo 179 PART VI POLITICAL COGNITION MODELLING 189 12 The JQP Model 197 13 Political Attitude Strength Simulation Modelling 211 PART VII COMPUTATIONAL AND SIMULATION MODELLING OF IDEOLOGY 219 14 Ideological Polarization Model 227 15 Ideological Landscapes Model 237 16 Complex Integrative Models of Political Ideology 241 PART VIII POLITY MODELLING 245 17 Polity Instability Models Featuring Ethnic and Nationalist Insurgence 253 18 Polity Instability Model Featuring Reconstruction after State Failure 263 19 Polity Dynamics Model Featuring the Relationship between Public Issue Emergence and Public Policy Development 269 20 Polity Instability Model Featuring Revolution against Authoritarian Regime 277 PART IX EPILOGUE 285 21 Shaping New Science 287 Author Index 293 Subject Index 299
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Political Science has traditionally employed empirical research and analytical resources to understand, explain and predict political phenomena. One of the long-standing criticisms against empirical modeling targets the static perspective provided by the model-invariant paradigm.
Preface ix Acknowledgements xix Introduction xxi PART I SOCIAL AND POLITICAL ATTITUDE MODELLING 1 1 Attitudes: A Brief History of the Concept 3 2 Political Attitudes: Conceptual and Computational Modelling Backgrounds 31 PART II SOCIAL AND POLITICAL INFLUENCE MODELS OF ATTITUDE CHANGE 63 3 Voting Choice Computer Simulation Model 65 4 Community Referendum Model 83 PART III THE ROLE OF PHYSICAL SPACE IN POLITICAL ATTITUDE MODELLING 93 5 Social Impact Theory and Model 95 6 Dynamic Social Impact Theory and Model 107 PART IV POLITICAL ATTITUDE APPROACHES BASED ON SOCIAL INFLUENCE, CULTURE CHANGE AND COLLECTIVE ACTION MODELLING 139 7 Culture Dissemination Model 141 8 Diversity Survival Model 147 9 Collective Action Modelling 159 PART V MULTIDIMENSIONAL SPATIAL MODELS 165 10 The System Dynamics Modelling Paradigm 169 11 Multidimensional Attitude Change Models. Galileo 179 PART VI POLITICAL COGNITION MODELLING 189 12 The JQP Model 197 13 Political Attitude Strength Simulation Modelling 211 PART VII COMPUTATIONAL AND SIMULATION MODELLING OF IDEOLOGY 219 14 Ideological Polarization Model 227 15 Ideological Landscapes Model 237 16 Complex Integrative Models of Political Ideology 241 PART VIII POLITY MODELLING 245 17 Polity Instability Models Featuring Ethnic and Nationalist Insurgence 253 18 Polity Instability Model Featuring Reconstruction after State Failure 263 19 Polity Dynamics Model Featuring the Relationship between Public Issue Emergence and Public Policy Development 269 20 Polity Instability Model Featuring Revolution against Authoritarian Regime 277 PART IX EPILOGUE 285 21 Shaping New Science 287 Author Index 293 Subject Index 299
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