A critical comparison of the agency identifier codes in the Federal Employee Viewpoint Survey (FEVS) and FedScope data sets reveals three distinct types of issues will occur when researchers attempt to merge the data sets: (a) a single agency is assigned different codes across data sets; (b) a single code is assigned to different agencies across data sets; and (c) a single code is assigned to two or more agencies in the FEVS data set and a separate agency in the FedScope data set. Between 2013 and 2016, these issues are present in almost all major federal departments. Compatibility issues between the agency identifiers could cause the user to drop observations unnecessarily or unknowingly combine two different agencies’ data improperly. If uncorrected, these issues will distort the analysis of studies that rely on this combination of data. However, researchers can correct for this issue and still use Office of Personnel Management (OPM) identifiers to combine data across multiple data sets.

中文翻译：

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数据兼容性问题：如何在使用美国人事管理办公室数据集时防止错误编码和丢失观察

联邦雇员观点调查 (FEVS) 和 FedScope 数据集中的机构标识符代码的关键比较显示，当研究人员尝试合并数据集时，将出现三种不同类型的问题：(a) 单个机构被分配不同的数据代码套; (b) 跨数据集为不同机构分配单一代码；(c) 为 FEVS 数据集中的两个或多个机构和 FedScope 数据集中的一个单独机构分配一个代码。从 2013 年到 2016 年，几乎所有主要的联邦部门都存在这些问题。机构标识符之间的兼容性问题可能会导致用户不必要地或在不知不觉中将两个不同机构的数据不正确地组合在一起。如果不加以纠正，这些问题将扭曲依赖这种数据组合的研究分析。然而，