{"product_id":"political-attitudes-isbn-9781118833148","title":"Political Attitudes","description":"\u003cp\u003ePolitical 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. In political science research, this issue has a particular relevance since political phenomena prove sophisticated degrees of context-dependency whose complexity could be hardly captured by traditional approaches. To cope with the complexity challenge, a new modeling paradigm was needed. This book is concerned with this challenge. Moreover, the book aims to reveal the power of computational modeling of political attitudes to reinforce the political methodology in facing two fundamental challenges: political culture modeling and polity modeling. The book argues that an artificial polity model as a powerful research instrument could hardly be effective without the political attitude and, by extension, the political culture computational and simulation modeling theory, experiments and practice.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eThis book:\u003c\/i\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eSummarizes the state of the art in computational modeling of political attitudes, with illustrations and examples featured throughout.\u003c\/li\u003e \u003cli\u003eExplores the different approaches to computational modeling and how the complexity requirements of political science should determine the direction of research and evaluation methods.\u003c\/li\u003e \u003cli\u003eAddresses the newly emerging discipline of computational political science.\u003c\/li\u003e \u003cli\u003eDiscusses modeling paradigms, agent-based modeling and simulation, and complexity-based modeling.\u003c\/li\u003e \u003cli\u003eDiscusses model classes in the fundamental areas of voting behavior and decision-making, collective action, ideology and partisanship, emergence of social uprisings and civil conflict, international relations, allocation of public resources, polity and institutional function, operation, development and reform, political attitude formation and change in democratic societies.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis book is ideal for students who need a conceptual and operational description of the political attitude computational modeling phases, goals and outcomes in order to understand how political attitudes could be computationally modeled and simulated. Researchers, Governmental and international policy experts will also benefit from this book.\u003c\/p\u003e \u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003eAcknowledgements xix\u003c\/p\u003e \u003cp\u003eIntroduction xxi\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART I SOCIAL AND POLITICAL ATTITUDE MODELLING 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1 Attitudes: A Brief History of the Concept 3\u003c\/p\u003e \u003cp\u003e2 Political Attitudes: Conceptual and Computational Modelling Backgrounds 31\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART II SOCIAL AND POLITICAL INFLUENCE MODELS OF ATTITUDE CHANGE 63\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3 Voting Choice Computer Simulation Model 65\u003c\/p\u003e \u003cp\u003e4 Community Referendum Model 83\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART III THE ROLE OF PHYSICAL SPACE IN POLITICAL ATTITUDE MODELLING 93\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5 Social Impact Theory and Model 95\u003c\/p\u003e \u003cp\u003e6 Dynamic Social Impact Theory and Model 107\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART IV POLITICAL ATTITUDE APPROACHES BASED ON SOCIAL INFLUENCE, CULTURE CHANGE AND COLLECTIVE ACTION MODELLING 139\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e7 Culture Dissemination Model 141\u003c\/p\u003e \u003cp\u003e8 Diversity Survival Model 147\u003c\/p\u003e \u003cp\u003e9 Collective Action Modelling 159\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART V MULTIDIMENSIONAL SPATIAL MODELS 165\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10 The System Dynamics Modelling Paradigm 169\u003c\/p\u003e \u003cp\u003e11 Multidimensional Attitude Change Models. Galileo 179\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART VI POLITICAL COGNITION MODELLING 189\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e12 The JQP Model 197\u003c\/p\u003e \u003cp\u003e13 Political Attitude Strength Simulation Modelling 211\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART VII COMPUTATIONAL AND SIMULATION MODELLING OF IDEOLOGY 219\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e14 Ideological Polarization Model 227\u003c\/p\u003e \u003cp\u003e15 Ideological Landscapes Model 237\u003c\/p\u003e \u003cp\u003e16 Complex Integrative Models of Political Ideology 241\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART VIII POLITY MODELLING 245\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e17 Polity Instability Models Featuring Ethnic and Nationalist Insurgence 253\u003c\/p\u003e \u003cp\u003e18 Polity Instability Model Featuring Reconstruction after State Failure 263\u003c\/p\u003e \u003cp\u003e19 Polity Dynamics Model Featuring the Relationship between Public Issue Emergence and Public Policy Development 269\u003c\/p\u003e \u003cp\u003e20 Polity Instability Model Featuring Revolution against Authoritarian Regime 277\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePART IX EPILOGUE 285\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e21 Shaping New Science 287\u003c\/p\u003e \u003cp\u003eAuthor Index 293\u003c\/p\u003e \u003cp\u003eSubject Index 299\u003c\/p\u003e “From the outside the field of political science or studies seems left behind in terms of time, techniques and issues addressed. This book brings together, for the first time, the various strands that together might make up a new direction for the field - that of using computational approaches to understand how political attitudes, beliefs and thinking might result in the macro political outcomes reported in the press and media. There have been some brave researchers who have attempted to introduce computer models in the field, but they have been widely scattered and largely ignored. By bringing together all these approaches within a coherent framework the author shows how much work has been done and its future potential. But she also places these within a systematic framework showing how they might relate. The coverage of this book is astounding, covering history, theoretical bases, cognitive perspective, computational details and all the main approaches that have been developed. This makes the book a valuable reference work, enabling researchers to see the power of the approach and giving them a solid foundation from which to develop future work. “ \u003cbr\u003e\u003cb\u003e\u003cbr\u003eDr. Bruce Edmonds\u003c\/b\u003e, Research Professor, Director of the Centre for Policy Modelling\u003cbr\u003eManchester Metropolitan University Business School \u003cp\u003e\u003cb\u003eCamelia Florela Voinea\u003c\/b\u003e, Department of Political Science, International Relations and Security Studies, University of Bucharest, Bucharest, Romania\u003c\/p\u003e \u003cp\u003ePolitical 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. In political science research, this issue has a particular relevance since political phenomena prove sophisticated degrees of context-dependency whose complexity could be hardly captured by traditional approaches. To cope with the complexity challenge, a new modeling paradigm was needed. This book is concerned with this challenge. Moreover, the book aims to reveal the power of computational modeling of political attitudes to reinforce the political methodology in facing two fundamental challenges: political culture modeling and polity modeling. The book argues that an artificial polity model as a powerful research instrument could hardly be effective without the political attitude and, by extension, the political culture computational and simulation modeling theory, experiments and practice.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eThis book:\u003c\/i\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eSummarizes the state of the art in the computational modeling of political attitudes, with illustrations and examples featured throughout.\u003c\/li\u003e \u003cli\u003eExplores the different approaches to computational modeling and how the complexity requirements of political science should determine the direction of research and evaluation methods.\u003c\/li\u003e \u003cli\u003eAddresses the newly emerging discipline of computational political science.\u003c\/li\u003e \u003cli\u003eDiscusses modeling paradigms, agent-based modeling and simulation, and complexity-based modeling.\u003c\/li\u003e \u003cli\u003eDiscusses model classes in the fundamental areas of voting behavior and decision-making, collective action, ideology and partisanship, emergence of social uprisings and civil conflict, international relations, allocation of public resources, polity and institutional function, operation, development and reform, political attitude formation and change in democratic societies.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThis book is ideal for students who need a conceptual and operational description of the political attitude computational modeling phases, goals and outcomes in order to understand how political attitudes could be computationally modeled and simulated. Researchers, Governmental and international policy experts will also benefit from this book.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989803909349,"sku":"NP9781118833148","price":74.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118833148.jpg?v=1761785530","url":"https:\/\/k12savings.com\/products\/political-attitudes-isbn-9781118833148","provider":"K12savings","version":"1.0","type":"link"}