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首页> 外文期刊>Statistical Journal of the IAOS: Journal of the International Association for Official Statistics >Using administrative records to increase quality and reduce burden in the Survey of Graduate Students and Postdoctorates in Science and Engineering
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Using administrative records to increase quality and reduce burden in the Survey of Graduate Students and Postdoctorates in Science and Engineering

机译：采用行政记录提高质量，减少科学与工程研究生和博士后的调查负担

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摘要

The Survey of Graduate Students and Postdoctorates in Science and Engineering is an annual census of U.S. academic institutions granting research-based postsecondary degrees in science, engineering, and health fields. Sponsored by the National Center for Science and Engineering Statistics within the National Science Foundation and by the National Institutes of Health, the survey underwent a major redesign in 2017 with the goal of improving data quality while simultaneously reducing reporting burden. The key elements of the redesign effort included the use of digital file transfers for data reporting, separate collection by degree level (master's and doctoral) of data for graduate students, and the move to a more common coding scheme to describe academic disciplines. The major challenges of this data collection involve the voluntary participation of respondents, the com- plexity in providing the requested data, variability in the availability of administrative records, and differences in the reporting capabilities of responding institutions. This paper focuses on these challenges and how they were addressed in the redesign pro- cess. Results from a 2016 pilot data collection as well as preliminary results of a 2017 data collection are presented to illustrate the impact of the redesign on data quality and respondent burden.
机译：科学与工程研究生和博士后的调查是美国学术机构的年度人口普查，在科学，工程和健康领域授予基于研究的职业学历。该调查由国家科学基金会国家科学研究基金会国家科学研究统计中心和国家卫生研究院赞助，2017年重新重新设计，目的是提高数据质量，同时降低报告负担。重新设计的关键要素包括使用数字文件转账进行数据报告，单独的学位级别（硕士和博士）的研究生，以及转移到更常见的编码方案来描述学术学科。该数据收集的主要挑战涉及受访者自愿参与，在提供所要求的数据，行政记录可用性方面的可变性以及响应机构的报告能力的差异的复杂性。本文侧重于这些挑战以及如何在重新设计的过程中解决它们。提出了2016年试点数据收集的结果以及2017年数据收集的初步结果，以说明重新设计对数据质量和受访者负担的影响。

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