Population-Level Administrative Data: A Resource to Advance Psychological Science

IF 4.4 2区 化学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY ACS Applied Polymer Materials Pub Date : 2024-09-19 DOI:10.1177/09637214241275570
Leah S. Richmond-Rakerd, Kallisse R. Dent, Signe Hald Andersen, Stephanie D’Souza, Barry J. Milne
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Abstract

Population-level administrative data—data on individuals’ interactions with administrative systems, such as health-care, social-welfare, criminal-justice, and education systems—are a fruitful resource for research into behavior, development, and well-being. However, administrative data are underutilized in psychological science. Here, we review advantages of population-level administrative data for psychological research and provide examples of advances in psychological theory arising from administrative data studies. We focus on advantages in three areas: the collection and recording of population-level administrative data, the data’s large scale, and unique data linkages. We also describe ethical issues as well as methodological considerations and limitations in population administrative data research and outline future directions to enable psychological scientists to more fully capitalize on administrative data resources.
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人口层面的管理数据:推动心理科学发展的资源
人口层面的行政数据--关于个人与行政系统(如医疗保健、社会福利、刑事司法和教育系统)互动的数据--是研究行为、发展和福祉的富有成效的资源。然而,行政数据在心理科学中却未得到充分利用。在此,我们回顾了人口层面的行政数据在心理学研究中的优势,并举例说明了行政数据研究在心理学理论方面取得的进展。我们将重点关注三个方面的优势:人口级行政数据的收集和记录、数据的大规模以及独特的数据链接。我们还介绍了人口行政数据研究中的伦理问题、方法论方面的考虑因素和局限性,并概述了使心理科学家能够更充分地利用行政数据资源的未来方向。
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来源期刊
CiteScore
7.20
自引率
6.00%
发文量
810
期刊介绍: ACS Applied Polymer Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics, and biology relevant to applications of polymers. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates fundamental knowledge in the areas of materials, engineering, physics, bioscience, polymer science and chemistry into important polymer applications. The journal is specifically interested in work that addresses relationships among structure, processing, morphology, chemistry, properties, and function as well as work that provide insights into mechanisms critical to the performance of the polymer for applications.
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