Grammar of Time - A Toolbox for Comparative Historical Analysis

Informationen zum Autor Marcus Kreuzer is Professor of Political Science Department, Villanova University. His research builds a bridge between the worlds of history and social science methodology. His earlier research focused on the 19th century origins of modern democracy and the role party systems played in the consolidation of interwar and post-communist democracies. His subsequent work on comparative historical methodology has won several best paper awards from American Political Science Association. He also regularly teaches comparative historical analysis at various methods schools. Inhaltsverzeichnis Introduction: how to study a disorderly world in an orderly fashion; Section I. The Temporal foundations of comparative historical analysis; 1. Historical thinking: stop talking about testing for once!; 2. Varieties of historical time: history is not a dummy variable; 3. Physical time: capturing the rhythms of history; Section II. How to use history to describe patterns; 4. A primer on the origins of electoral systems; 5. Eventful analysis: using dates to explore patterns of (dis-) continuities; 6. Longue Durée analysis: looking for serial patterns; 7. Macro-causal analysis: physical time and the temporal construction of theories; Section III. What about causality?; 8. situating comparative historical analysis: heterodox yet still systematic; 9. Historical explanations: making sense of continuities and discontinuities; 10. Causal process tracing: making testing symmetric; Conclusion: different origins and shared complementarities.

Détails du produit

• Auteurs: Marcus Kreuzer, Marcus (Villanova University Kreuzer, Markus Kreuzer, Kreuzer Marcus
• Edition: Cambridge University Press ELT
• Langues: Anglais
• Format d'édition: Livre de poche
• Sortie: 01.04.2023
• EAN: 9781108718233
• ISBN: 978-1-108-71823-3
• Pages: 180
• Thème: Methods for Social Inquiry
• Catégories: Sciences sociales, droit, économie > Sociologie > Théories sociologiques; History: theory & methods, SOCIAL SCIENCE / Research, SOCIAL SCIENCE / Statistics, HISTORY / Study & Teaching, Social research & statistics, Social research and statistics, Data analysis: general, Data science and analysis: general, History: theory and methods, Interest age / level, For undergraduate education and equivalents