Leyla Mohadjer

Vice President

Leyla Mohadjer, Ph.D., is a senior statistician with about 30 years of experience. Her special areas of expertise include sample design, weighting and estimation for complex surveys in national and international settings, quality assurance and quality control procedures, and nonresponse bias analysis. She has conducted research on topics such as the impact of incentives on the quality of data collected in surveys, sampling of rare populations within the context of national surveys, compositing of samples selected from overlapping frames, and small-area estimation.

Dr. Mohadjer is a Fellow of the American Statistical Association (ASA) and is an elected Member of the International Statistical Institute. She has served as Scientific Secretary for the International Association of Survey Statisticians, Chair of the Waksberg Award Committee, and Education Officer of the Survey Research Methods Section of the ASA. In recognition of her contributions to the field, Dr. Mohadjer has been named a Westat Senior Statistical Fellow and serves on the Statistical Fellows Committee, which provides consultation on important survey statistics issues and addresses recent advances in applied statistics. She is also an associate research professor in the Joint Program in Survey Methodology at the University of Maryland.


  • Ph.D., Mathematical Statistics, George Washington University
  • M.S., Applied Statistics, George Washington University

Areas of Expertise

Selected Publications

Ren W., Li J., Erciulescu A., Krenzke T., and Mohadjer L. (2020).

A variable selection method for small area estimation modeling of the proficiency of adult competency.

Van de Kerchkove W., Krenzke T., and Mohadjer L. (2020).

Addressing outcome-related nonresponse through a doorstep interview.

Krenzke T. and Mohadjer L. (2020).

Application of probability-based link-tracing and nonprobability approaches to sampling out-of-school youth in developing countries.

Krenzke T., Mohadjer L., Li J., Erciulescu A.L., Fay R., Ren W., Van de Kerchkove W., Li L., and Rao J.N.K. (2020).

Program for the International Assessment of Adult Competencies. State and county estimation methodology report.

Krenzke T., Van de Kerchkove W., Thornton N., Diaz-Hoffmann L., Hogan J., Mohadjer L., Li L., Li J., Yamamoto K., Khorramdel L., and Ali U. (2019).

U.S. Program for the International Assessment of Adult Competencies (PIAAC) 2012/2014/2017: Main Study, National Supplement, and PIAAC 2017 technical report.

Van de Kerchkove W., Krenzke T., Mohadjer L., and Ren W. (2019).

Evaluation of dwelling unit frame coverage enhancement: Case study of the 2017 PIAAC Survey.

Clark J., Mohadjer L., and Chen T.C. (2018).

Application of state health status in the design of the 2011-2014 National Health and Nutrition Examination Survey.

Mohadjer L. and Edwards B. (2018).

Paradata and dashboards in PIAAC.

Li J., Krenzke T., Mohadjer L., Van de Kerchkove W., Li L., Ren W., and Adbaru H.H. (2018).

Choice of small area models based on sample designs and availability of auxiliary data in PIAAC Study.

Rampey B.D., Keiper S., Mohadjer L., Krenzke T., Li J., Thornton N., Hogan J., Xie H., and Provasnik S. (2016).

Highlights from the U.S. PIAAC Survey of Incarcerated Adults: Their skills, work experience, education, and training.

Rampey B., Finnegan R., Goodman M., Mohadjer L., Krenzke T., Hogan J., and Provasnik S. (2016).

Skills of the U.S. unemployed, young, and older adults in sharper focus: Results from the Program for the International Assessment of Adult Competencies (PIAAC) 2012/2014: First look.

Van de Kerchkove W., Mohadjer L., and Krenzke T. (2014).

A weight trimming approach to achieve a comparable increase to bias across countries in the Programme for the International Assessment of Adult Competencies.

Li L., Krenzke T., and Mohadjer L. (2014).

Considerations for selection and release of reserve samples for in-person surveys.

Li J., Chen S., Krenzke T., and Mohadjer L. (2014).

Replication variance estimation for balanced sampling: An application to the PIAAC Study.

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