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Bureau of Labor Statistics > Office of Survey Methods Research > Home

Jonathan Mendelson

Jonathanb Mendelson

Jonathan Mendelson, Ph.D.

Research Statistician Office of Survey Methods Research
202-691-7268
Education:
  • University of Maryland–College Park, 2023, Ph.D., Survey and Data Science (concentration in Statistical Science)
  • Carnegie Mellon University, 2007, M.S., Public Policy and Management
  • Carnegie Mellon University, 2006, B.S., Political Science
Fields of Interest:
  • Nonresponse
  • Experimental design and analysis
  • Survey modes
  • Sampling and weighting design
  • Bayesian methods
  • Measurement error
Professional Experience:
  • Research Statistician, Bureau of Labor Statistics, March 2022–present
  • Senior Scientist, Fors Marsh Group, March 2015–May 2021
  • Senior Research Associate, Fors Marsh Group, July 2014–March 2015
  • Research Associate, Fors Marsh Group, September 2012–July 2014
  • Research Analyst, Fors Marsh Group, January 2011–September 2012
  • Senior Analyst, Bennett, Petts and Normington, June 2008–November 2008
  • Political Analyst, Global Strategy Group, August 2007–March 2008
Selected Publications and Working Papers:

     Peer-reviewed publications:

  • Sheveland, A. C., Luchman, J. N., Mendelson, J., Xie, J., Bleiberg, M. A., Eby, D. W., Molnar, L., & Walton, B. R. (2020). Psychological constructs related to seat belt use: a nationally representative survey study. Accident Analysis & Prevention, 148, Article 105715. https://doi.org/10.1016/j.aap.2020.105715

  • Mendelson, J., Gibson, J. L., & Romano-Bergstrom, J. (2016). Displaying Videos in Web Surveys: Implications for Complete Viewing and Survey Responses. Social Science Computer Review, 35(5), 654-665. https://doi.org/10.1177/0894439316662439

                   

     Professional papers and presentations:

  • Mendelson, J. & Elliott, M. (2023). Computational methods toward fully Bayesian optimal survey sample design. Presented at the Joint Statistical Meetings, Toronto, ON, Canada, August 2023.

  • Mendelson, J. & Elliott, M. (2022). Bayesian Stratified Sampling for Establishment Surveys with Uncertain Design Parameters. Presented at the 2022 Federal Committee on Statistical Methodology Research and Policy Conference, Washington, DC, October 2022. https://www.fcsm.gov/assets/files/docs/2022-conference-docs/B3.2_Mendelson.pdf 

  • Mendelson, J. & Sedransk, J. (2018). Bayesian Methods for Stratified Sample Allocation Using Imperfect Information. Presented at the Joint Statistical Meetings, Vancouver, BC, Canada, July 2018.

  • Mendelson, J. & Huang, P. (2016). Weighting for Nonresponse in the Overseas Citizen Population Survey: The Effects of Sample Size and Adjustment Method on Accuracy of Estimates. In Proceedings of the American Statistical Association, Survey Research Methods Section. http://www.asasrms.org/Proceedings/y2016/files/389786.pdf

  • Mendelson, J. & Viera, L. (2014). Examining the Relationship Between Measurement and Nonresponse Error in a Two-Phase Survey. Poster presentation at the 69th Annual Conference of the American Association for Public Opinion Research, Anaheim, CA, May 2014.

  • Mendelson, J. & Viera, L. (2013). Impacts of Unit Nonresponse in a Recontact Study of Youth. Presented at the 68th Annual Conference of the American Association for Public Opinion Research, Boston, MA, May 2013.

     

     Software packages:

Last Modified Date: September 7, 2023