Jill DeMatteis

Vice President

Jill DeMatteis, PhD, has nearly 30 years of experience in survey statistics, including sample design and estimation. Her areas of expertise include address-based sampling, coverage and nonresponse error, and sample design and estimation for longitudinal surveys. Prior to joining Westat, DeMatteis was a mathematical statistician at the Bureau of Labor Statistics.

DeMatteis is a Fellow of the American Statistical Association (ASA) and an Elected Member of the International Statistical Institute. She has held many positions in the American Association for Public Opinion Research (AAPOR) and in the ASA, including as President of the Washington Statistical Society, Chair of both the Survey Research Methods Section and the Government Statistics Section, and Co-Chair of the Joint AAPOR/ASA Task Force on Data Falsification. DeMatteis is also an Associate Research Professor in the Joint Program in Survey Methodology at the University of Maryland.

In recognition of her contributions to the field, DeMatteis 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.


  • PhD, Statistics, American University
  • MS, Statistics, Miami University
  • BA, Mathematics and Economics, Ashland College

Areas of Expertise

Selected Publications

Roth S., Caporaso A., and DeMatteis J. (2022).

Variables appended to ABS frames: Has their data quality improved?.

Borger C., Zimmerman T., DeMatteis J., Gollapudi B., Whaley S., Ritchie L., Au L., and May L. (2022).

WIC Infant and Toddler Feeding Practices Study-2: Fifth year report.

Bruce C., Gearing M.E., DeMatteis J., Levin K., Mulcahy T., Newsome J., and Wivagg J. (2022).

Financial vulnerability and the impact of COVID-19 on American households.

Borger C., Paolicelli C., Ritchie L., Whaley S.E., DeMatteis J., Sun B., Zimmerman T.P., Reat A., and Dixit-Joshi S. (2021).

Shifts in sources of food but stable nutritional outcomes among children in the early months of the COVID-19 pandemic.

Paolicelli C., Borger C., DeMatteis J., Gollapudi B., Machado J., Reat A., Ritchie L., Sun B., Whaley S., and Zimmerman T.P. (2021).

The WIC Infant and Toddler Feeding Practices Study-2 (WIC ITFPS-2) through age 5: What we've learned, what questions remain, and how you can use this longitudinal dataset.

Marker D.A., Brock S., Steiger D., DeMatteis J., and Popick H. (2021).

Jewish community studies in the twenty-first century.

Weinfield N., Borger C., Zimmerman T., DeMatteis J., MacAllum C., Whaley S., Ritchie L., Au L., Sallack L., and May L. (2019).

WIC Infant and Toddler Feeding Practices Study-2: Third year report.

DeMatteis J.M. (2019).

Computing "e" in self-administered address-based sampling studies.

Borger C., Weinfield N., Zimmerman T., MacAllum C., DeMatteis J., Whaley S., Ritchie L., Sallack L., Au L., Jenkins F., and May L. (2018).

WIC Infant and Toddler Feeding Practices Study-2: Second year report.

DeMatteis J.M., Buskirk T.D., Harter R., Battaglia M.P., Dillman D.A., English N., Fahimi M., Frankel M.R., Kennel T., McMichael J.P., McPhee C.B., Yancey T., and Zukerberg A.L. (2016).

Address-based sampling.

Williams D., Brick J.M., DeMatteis J.M., and Han D. (2016).

Effects of screening questionnaires on response in a two-phase postal survey.

Buskirk T.D., Harter R., Battaglia M.P., Dillman D.A., Frankel M.R., McPhee C.B., Yancey T., and DeMatteis J.M. (2016).

Sampling, data collection, and weighting procedures for address-based sample surveys.

Lohr S., Hsu V., and DeMatteis J.M. (2015).

Using classification and regression trees to model survey nonresponse.

DeMatteis J.M., McNutt S., May L., Borger C., Harrison G., Weinfield N., and MacAllum C. (2015).

WIC ITFPS-2 infant report: Intention to breastfeed.

DeMatteis J.M., Dohrmann S., Buskirk T.D., and Hyon A. (2014).

Address based sampling frames for beginners.

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