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Irrelevant Events Influence Elections: Replication Findings Across Diverse Political Contexts
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Descriptive Representation
Rational Choice Theory
Replication Studies
Crossnational Comparisons
Field Experiments
Survey Data Analysis
Voting and Elections
JOP
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Dataverse
Irrelevant Events and Voting Behavior: Replications Using Principles from Open Science was authored by Matthew Graham, Gregory Huber, Neil Malhotra and Cecilia Hyunjung Mo. It was published by Chicago in JOP in 2023.

This innovative study examines how seemingly irrelevant events impact voting behavior through principles derived from Open Science methodology.

➡️ Data & Methods

* Conducted replication analyses across multiple political contexts

* Applied rigorous methodological standards including preregistration and open data practices

* Examined diverse datasets representing different electoral environments

➡️ Key Findings

* Replicated the core finding that irrelevant events significantly influence voting decisions in various settings

* Observed consistent patterns despite contextual variations

➡️ Why It Matters

* Offers robust validation of findings previously identified in similar research areas

* Enhances understanding of unpredictable election outcomes globally

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