Morgan Earp (statistician)
American government statistician

Morgan Sue Earp is an American statistician who works for the US government as acting director of the Division of Research and Methodology of the National Center for Health Statistics. Topics of her research include observational error, participation bias, psychometrics, and total survey error.
Education and career
Earp earned a Ph.D. from the University of Denver in 2007. Her dissertation, Development and Validation of the Statistics Anxiety Measure, was supervised by Kathy E. Green.
She began working for the US government in 2006, as a statistician in the National Agricultural Statistics Service. She moved to the Bureau of Labor Statistics in 2011, and again to the National Center for Health Statistics in 2020. She was president of the Washington, D.C. section of the American Association for Public Opinion Research in 2015, and chaired the Survey Research Methods Section of the American Statistical Association in 2020.
Recognition
Earp was named as a 2024 Fellow of the American Statistical Association.
Begin with the source’s own compact description: “Morgan Earp (statistician)” is american government statistician. The dossier treats that line as a proposition to test through Morgan, Earp and statistician, not as a finished interpretation.
Why this record matters
The phrase “american government statistician” supplies a clear boundary for inquiry. It also exposes the unanswered questions: who defined that boundary, when it became stable and which sources sit outside it.
The record creator and administrative purpose are central evidence, because official documentation reflects both action and institutional priorities. The source revision retrieved here is dated Dec 28, 2025. The linked authority identifier is Q126278729. None of the 0 selected statements returned an explicit reference. The first chronological checks are 2007, 2006, 2011 and 2020.
Official terminology may obscure informal participation, dissent or communities documented only indirectly. The lead is largely declarative, so disagreement and counter-evidence require a deliberate search beyond the opening account. Authority statements aid reconciliation but still require their own references, qualifiers and ranks to be checked.
How to read it
Compare institutional narratives with records created by participants and affected communities. Dates and formal titles are useful anchors, but not substitutes for context.
- Event chronology
- Institutional context
- Locating named record creators
Contemporary correspondence, government or organizational records, oral histories and cited historical scholarship.
Three-step research path
- Establish the record: confirm the title “Morgan Earp (statistician)”, its source revision and the description used here.
- Expand the search: follow Morgan Earp (statistician) primary sources, Morgan Earp (statistician) archive and Morgan research across catalogues and specialist indexes.
- Test the account: compare the strongest cited source with the responsible institution’s current record and note any disagreement.
Questions for further research
- Which source most directly establishes the central claim about “Morgan Earp (statistician)”?
- What chronology connects this entry to wider political or social change?
- Who created the surviving record, and for what administrative purpose?
Search terms from this dossier
This entry incorporates text from “Morgan Earp (statistician)” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.