Stephanie Eckman, Ph. D.

steph [at] umd [dot] edu





CV

List of Papers on Google Scholar

Git Hub
I am employed as a Senior Researcher at the Institute for Employment Research (Instituts fuer Arbeitsmarkt- und Berufsforschung, IAB) in Nuremberg, Germany.

Along with Brad Edwards, I am chair of the 2015 International Total Survey Error Conference, to be held in Baltimore in September 2015. This conference focuses on issues of data quality and is concerned with questions such as:
  • What population can we make inference to with this data source?
  • Which error sources are likely to affect a given data set?
  • Errors of observation: How well are the constructs in this data set measured? Do the variables mean what we think they mean? How were these data captured and for what purpose?
  • Errors of non-observation: Which information is missing in a given data source, and do these missing data bias our analyses?
  • Connections between error sources: when we strive to expand the representativeness of our data, by including those who are hard to reach, do we sacrifice quality in the data we do capture?
The conference is concerned not only with error in survey data but with errors in data more broadly, including emerging data sources such as administrative and social media data.

In addition, I do statistical consulting work on topics of sample design, weighting and coverage issues. This year, I consulted with the World Bank on weights for an establishment panel survey and with the Pakistan Statistical Agency on survey design. In 2012, I worked with the World Bank on a survey of Pastoralists in the Afar region of Ethiopia.

My recent publications include:
For a complete list, see my Google Scholar website.

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.