Stephanie Eckman, Ph. D. seckman [at] survey [dot] umd [dot] edu
CV	In 2013, I am teaching full time in the Sociology Department at the University of Mannheim. Before I joined the Mannheim faculty, I was employed as a Senior Researcher at the Institute for Employment Research (Instituts fuer Arbeitsmarkt- und Berufsforschung, IAB) in Nuremberg, Germany. I am also a member of Frauke Kreuter's Working Group at the Institute for Statistics at Ludwig Maximilian University in Munich. In addition, I do statistical consulting work on topics of sampling, weighting and coverage issues. In 2012, I worked with the World Bank on a survey of Pastoralists in the Afar region of Ethiopia. My recent publications include: Eckman, S. 2013. “Do Different Listers Make the Same Housing Unit Frame? Variability in Housing Unit Listing” Journal of Official Statistics. Eckman, S, Sinibaldi, J, and Moentmann-Hertz, A. 2013. “Can Interviewers Effectively Rate the Likelihood of Cases to Cooperate?” Public Opinion Quarterly. Eckman, S and English, N. 2012. “Geocoding to Create Survey Frames” Survey Practice. “Paradata for Coverage Research” Chapter in Improving Surveys through Paradata: Analytic Uses of Process Information, edited by F. Kreuter. Tourangeau, R, Kreuter, F and Eckman, S. 2012. “Motivated Underreporting in Screening Interviews” Public Opinion Quarterly. Eckman, S and English, N. 2012. “Creating Housing Unit Frames from Address Databases: Geocoding Precision and Net Coverage Rates” Field Methods. I have a Ph. D. in Survey Methodology from the Joint Program in Survey Methodology (JPSM) at the University of Maryland. My dissertation explored coverage in area-probability surveys, specifically undercoverage and overcoverage of housing units in housing unit listing. Data collection for my dissertation was supported by the Centers for Disease Control and Prevention, the Maryland Population Research Center, and the Charles Cannell Fund in Survey Methodology, among others. When I'm not working, I like to run, bike and swim. My fastest half-marathon time is 1:47.