Population-level administrative data: A resource to advance psychological science

Area of Science:

• Psychological Science
• Data Science
• Sociology

Background:

• Population-level administrative data, encompassing interactions with healthcare, social-welfare, criminal-justice, and education systems, is a rich but underused resource.
• Psychological science has historically underutilized these datasets for research on behavior, development, and wellbeing.

Purpose of the Study:

• To review the advantages of population-level administrative data for psychological research.
• To provide examples of psychological theory advancements driven by administrative data studies.
• To outline ethical issues, methodological considerations, and future directions for utilizing administrative data in psychology.

Main Methods:

• Literature review focusing on the unique characteristics of population-level administrative data.
• Analysis of existing studies that have leveraged administrative data to advance psychological theory.
• Discussion of practical aspects including data collection, scale, and data-linkage capabilities.

Main Results:

• Population-level administrative data offers significant advantages due to its collection methods, large scale, and unique data-linkage possibilities.
• Studies using administrative data have led to novel insights and advancements in psychological theory.
• Ethical considerations and methodological limitations are critical factors in administrative data research.

Conclusions:

• Psychological scientists can gain substantial benefits by more effectively utilizing population-level administrative data.
• Addressing ethical and methodological challenges is crucial for maximizing the potential of these datasets.
• Future research should focus on developing best practices for integrating administrative data into psychological studies.