- The Oxford Handbook of Polling and Survey Methods
- Introduction to Polling and Survey Methods
- Total Survey Error
- Longitudinal Surveys: Issues and Opportunities
- Mixing Survey Modes and Its Implications
- Taking the Study of Political Behavior Online
- Sampling for Studying Context: Traditional Surveys and New Directions
- Questionnaire Science
- Exit Polling Today and What the Future May Hold
- Sampling Hard-to-Locate Populations: Lessons from Sampling Internally Displaced Persons (IDPs)
- Reaching Beyond Low-Hanging Fruit: Surveying Low-Incidence Populations
- Improving the Quality of Survey Data Using CAPI Systems in Developing Countries
- Survey Research in the Arab World
- The Language-Opinion Connection
- Issues in Polling Methodologies: Inference and Uncertainty
- Causal Inference with Complex Survey Designs: Generating Population Estimates Using Survey Weights
- Aggregating Survey Data to Estimate Subnational Public Opinion
- Latent Constructs in Public Opinion
- Measuring Group Consciousness: Actions Speak Louder Than Words
- Cross-National Surveys and the Comparative Study of Electoral Systems: When Country/Elections Become Cases
- Graphical Visualization of Polling Results
- Graphical Displays for Public Opinion Research
- Survey Experiments: Managing the Methodological Costs and Benefits
- Using Qualitative Methods in a Quantitative Survey Research Agenda
- Integration of Contextual Data: Opportunities and Challenges
- Measuring Public Opinion with Social Media Data
- Expert Surveys as a Measurement Tool: Challenges and New Frontiers
- The Rise of Poll Aggregation and Election Forecasting
Abstract and Keywords
Polling political elites, academics, or other types of knowledgeable experts has provided scholars with a trove of information about political institutions, processes, and local context. Expert surveys are an especially useful method for measuring concepts that would be difficult or impossible to measure through alternative strategies and permits scholars to create indicators that are comparable across diverse contextual settings. This chapter provides an overview of the key questions researchers face when using experts as a tool of measurement. It highlights considerations regarding survey design, questionnaire design, and aggregation procedures with an eye toward identifying ways to enhance the validity and reliability of expert-based measures. The chapter also emphasizes the importance of design transparency and systematic reporting of procedures and measures of uncertainty about scores derived from expert surveys.
Cherie D. Maestas is the Marshall A. Rauch Distinguished Professor of Political Science in the Department of Political Science and Public Administration at the University of North Carolina at Charlotte where she also directs the Public Policy Program. She studies political communication, political psychology, risk attitudes, and legislative responsiveness.
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