Methodological issues in the collection, analysis, and reporting of granular data in Asian American populations: historical challenges and potential solutions
Open accessAbstract
There are close to 15 million Asian Americans living in the United States, and they represent the fastest growing populations in the country. By the year 2050, there will be an estimated 33.4 million Asian Americans living in the country. However, their health needs remain poorly understood and there is a critical lack of data disaggregated by Asian American ethnic subgroups, primary language, and geography. This paper examines methodological issues, challenges, and potential solutions to addressing the collection, analysis, and reporting of disaggregated (or, granular) data on Asian Americans. The article explores emerging efforts to increase granular data through the use of innovative study design and analysis techniques. Concerted efforts to implement these techniques will be critical to the future development of sound research, health programs, and policy efforts targeting this and other minority populations.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 35 · Cited by 229
Research works printed but not linked: 5
- [6]Smedley BD Stith AY Nelson AR Unequal treatment: confronting racial and ethnic disparities in health Washington, DC The National Academies Press 2003 25032386
- [28]Massey JT Botman SL Groves R Biemer P Lyberg L Weighting adjustments for random digit dialed surveys Telephone survey methodology New York, NY John Wiley and Sons, Inc 1988 143 60
- [30]Maklan D Waksberg J Groves R Biemer P Lyberg L Within-household coverage in RDD surveys Telephone survey methodology New York, NY John Wiley and Sons, Inc 1988 51 69
- [53]Santos R Oversampling AAPI populations in federal health surveys Proceedings of the Health Brain Trust on Data and Research Conference Bethesda (MD) May 2007
- [56]Ku L Improving national health survey data about Asians and Pacific Islanders Proceedings of the Health Brain Trust on Data and Research Conference Bethesda (MD) May 2007
- Authors
- Islam, N. S., Khan, S., Kwon, S., Jang, D., Ro, M., & Trinh-Shevrin, C.
- Affiliations
- New York University (US)
- Asian and Pacific Islander American Health Forum (US)
- Venue
- Journal of Health Care for the Poor and Underserved
- Publisher
- Project MUSE
- Published
- 2010-11
- Volume
- 21
- Issue
- 4
- Pages
- 1354-1381
- ISSN
- 1049-2089 (ISSN-L)
- 1548-6869
- PMC
- PMC3086449
- OpenAlex
- W2128852841
- Cited by
- 229
- References
- 35
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 18 · 2023: 16 · 2022: 25 · 2021: 29 · 2020: 20 · 2019: 16 · 2018: 14 · 2017: 15 · 2016: 18 · 2015: 18 · 2014: 2 · 2013: 6 · 2012: 8
- FWCI
- 214.40
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Health Care for the Poor and Underserved (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Project Muse (Johns Hopkins University) (submittedVersion)
- Funders
- National Center for Research Resources (UL1RR029893)
- National Center for Chronic Disease Prevention and Health Promotion (1U48DP001904-0, U58DP001022, U48DP001904)
- National Institute on Minority Health and Health Disparities (P60MD000538, U54MD000538, R24MD001786)
- Topics
- Social Sciences › Cultural Studies › Asian American and Pacific Histories
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Sociology and Political Science › Racial and Ethnic Identity Research
- Keywords
- Asian Americans, granular data, primary language, data collection, data analysis, data reporting, minority health, health disparities, research design, health policy
- MeSH terms
- Asian, Data Collection, Humans, Research Design, United States, Minority Health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
