Replication Data for: Classifying Judicial Selection Institutions
收藏DataCite Commons2020-07-28 更新2025-04-16 收录
下载链接:
https://dataverse.unc.edu/citation?persistentId=doi:10.15139/S3/X8FOXC
下载链接
链接失效反馈官方服务:
资源简介:
The judicial selection classification problem is widely recognized but poorly understood. In this note, I identify the classification problem's three interrelated sources: ambiguous theoretical arguments, varying classification rules for categorizing merit selection states, and not accounting for interim selections in mixed systems. To demonstrate threats to inference posed by the classification problem, I replicate a study on opinion writing productivity in state supreme courts. I also offer straightforward suggestions for avoiding the classification problem going forward. Eliminating the classification problem will help ensure that inferences are comparable across studies with respect to the consequences of institutional design choices concerning judicial selection mechanisms.
提供机构:
UNC Dataverse
创建时间:
2018-02-20



