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Expert Disagreement: Mean vs Median Responses Lead to Different Survey Outcomes

mean responsemedian responsemodal responseEU integrationExpert SurveysMethodology@PSR&M9 R files4 datasetsDataverse
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### Expert Surveys & Measurement Challenges

Political scientists frequently employ expert surveys to uncover the intrinsic traits of political entities. However, experts often disagree due to varying levels of information and analytical capability.

### Proposed Solutions for Better Assessment

This article addresses how to effectively handle this uncertainty:

* Assessing experts' predictive abilities (how well they judge latent positions)

* Developing robust methods to combine their diverse responses

### Case Study: EU Integration & Party Politics Survey

The authors analyze prominent expert survey data from the literature focusing on party politics and European Union integration. This real-world application highlights practical consequences of different aggregation approaches.

### Monte Carlo Simulation Findings

Using simulation, we show that:

* Aggregating responses using median or modal values outperforms mean averaging in most scenarios

These methods produce more accurate aggregated estimates despite expert disagreement.

Article card for article: When Experts Disagree: Response Aggregation and Its Consequences in Expert Surveys
When Experts Disagree: Response Aggregation and Its Consequences in Expert Surveys was authored by René Lindstädt, Sven-Oliver Proksch and Jonathan B. Slapin. It was published by Cambridge in PSR&M in 2020.
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Political Science Research & Methods
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