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Strategies for Improving Measurement Models for Secondary Data in Public Administration Research: Illustrations from the Federal Employee Viewpoint Survey

机译：改进公共行政研究中辅助数据的度量模型的策略：来自联邦雇员观点调查的插图

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摘要

This article builds on Fernandez et al.'s 2015 review of Federal Employee Viewpoint Survey (FEVS) research by focusing on two unexplored areas: measurement models and measurement quality. Employing the notion of an auxiliary measurement theory as an organizing framework, the author assesses the use of FEVS survey items to operationalize theoretical constructs and procedures in order to establish their psychometric quality. Results indicate that there is considerable variability in how FEVS items have been used to measure theoretical constructs, which is expressed as high levels of overlap across FEVS-derived scales. Inconsistency in the assessment of measurement quality is evident as well, with a bias toward convergent validity. Three cautionary tales are presented to demonstrate the fragility of FEVS data when used with a compromised auxiliary measurement theory. The article concludes with recommendations for future FEVS studies.
机译：本文基于Fernandez等人在2015年对美国联邦雇员观点调查（FEVS）研究的回顾，重点关注两个尚未探索的领域：度量模型和度量质量。运用辅助测量理论的概念作为组织框架，作者评估了FEVS调查项目用于理论结构和程序操作以确立其心理计量质量的情况。结果表明，FEVS项用于测量理论结构的方式存在很大差异，这表示为在FEVS衍生的量表上存在高度重叠。在测量质量评估中的不一致性也很明显，倾向于收敛效度。提出了三个警告性的故事，以证明当与折衷的辅助测量理论一起使用时，FEVS数据的脆弱性。本文最后提出了对未来FEVS研究的建议。

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  • 来源
    《Public administration review》 |2018年第2期|228-239|共12页
  • 作者

    Somers Mark John;

  • 作者单位

    New Jersey Inst Technol, Management & Org Behav, Martin Tuchman Sch Management, Newark, NJ 07102 USA;

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