ArticleCurrent directions in psychological science2024
Population-level administrative data: A resource to advance psychological science.
Article in Current directions in psychological science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Depression and antidepressant treatment in growing up in New Zealand: impact on preterm birth and low birth weight.Archives of women's mental health · 2026Article
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Authors and funding
5 authors.
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Abstract
Population-level administrative data-data on individuals' interactions with administrative systems, such as healthcare, social-welfare, criminal-justice, and education systems-are a fruitful resource for research into behavior, development, and wellbeing. However, administrative data are underutilized in psychological science. Here, we review advantages of population-level administrative data for psychological research, with examples of advances in psychological theory arising from administrative-data studies. We focus on advantages in three areas: (1) How population-level administrative data are collected and recorded, (2) the data's large scale, and (3) unique data-linkages. We also describe ethical issues as well as methodological considerations and limitations in population administrative-data research, and future directions to enable psychological scientists to more fully capitalize on administrative-data resources.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.