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  • Introduction: Characterising the Data Correctly in Order to Measure them Accurately; 1. The Best Tools to Tackle the Job, Ian Budge and Thomas Meyer; 2. Using The Manifesto Estimates to Correct Systematic 'Centring' Error in Expert and Electoral Positioning of Parties, Robin E. Best; 3. Using The Manifesto Estimates to Refine Party Family Placements, Hans-Dieter Klingemann and Ian Budge; 4. Validated Estimates versus Dodgy Adjustments: focusing excessively on Error Distorts Results, Ian Budge, Michael D. McDonald and Thomas Meyer; 5. Understanding and Validating the Right-Left Scale (RILE), Ian Budge and Thomas Meyer; 6. Measuring Uncertainty and Error Directly From the End-Estimates, Michael D. McDonald; 7. Linking Uncertainty Measures to Document Selection and Coding, Ian Budge; 8. What are Manifestos for? Selecting and Typing Documents for the Database, Nicolas Merz and Sven Regel; 9. Coder Training: Key to Enhancing Coding Reliability and Estimate Validity, Onawa P. Lacewell and Annika Werner; 10. Data Entry and Access: Introducing the Manifesto Project Database (MPDb), Sven Regel; 11. From Data to Inference and Back Again: Perspectives from Content Analysis, Simon Franzmann; 12. Parties and Citizens: Representation over 28 Countries, Ian Budge and Hans-Dieter Klingemann; 13. Linking Data-Sets from Party to Individual Levels in order to Evaluate Congruence Measures Comparatively, Pola Lehmann and Henrike Schultze; 14. Presidential versus Parliamentary Representation: Extending Manifesto Estimates to Latin America, Andrea Volkens and Judith Bara (xsd:string)
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  • 2013 (xsd:gyear)
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  • 2013 (xsd:gyear)
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  • Englisch (EN) (xsd:string)
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  • Mapping policy preferences from texts : statistical solutions for Manifesto analysis (xsd:string)
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  • Buch (de)
  • Monographie (xsd:string)
  • book (en)
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  • GESIS-BIB (xsd:string)
  • Oxford: Oxford Univ. Press, 2013.- 326 S., graph. Darst. (xsd:string)
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