📌 Why Rural Measurement Matters
Recent attention to urban–rural gaps in American politics has outpaced clear agreement on who counts as rural. Conceptual ambiguity and inconsistent place-based measures can alter empirical conclusions and obscure the political role of rural identity.
📊 A New Look at State Legislative Districts
A new dataset on urban–rural measurement of U.S. state legislative districts is provided to improve estimation across different notions of rurality and to support more precise empirical work.
🔍 Two Tests of Construct Validity and Measurement
- Replication: Flavin and Franko (2020, Political Behavior, 845–864) is replicated to show that empirical results can be sensitive to how rural residents are measured.
- Self-identification vs. Place-based Measures: Mummolo and Nall’s (2017, The Journal of Politics, 45–59) survey data are reexamined to demonstrate that rural self-identification is not well captured by objective, place-based classifications, revealing a mismatch between identity and geographic labels.
✅ Key Findings
- Measurement choices matter: different operationalizations of rurality produce different empirical patterns.
- Place-based classifications fail to fully capture rural self-identification, challenging assumptions about who is rural in survey and administrative data.
- Construct validity should be central to research design in rural politics to avoid misleading inferences.
🛠️ Practical Recommendations
Strategies are offered for operationalizing rurality with readily available tools, including transparent reporting of measures, combining multiple indicators, and explicitly testing construct validity when linking geographic classifications to political behavior and identity.
📣 Why It Matters
More careful conceptualization and measurement of rurality can change substantive conclusions about rural politics and improve the reliability of both descriptive and causal research.
