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NORC at the University Chicago

Katie Archambeau

Pronouns: She/Her

Senior Data Scientist II
Methodology & Quantitative Social Sciences
Katie works on surveys from beginning to end, taking interest in quality, address-based sampling, and data delivery.

As a senior data scientist at NORC, Katie has been involved in many roles on a wide variety of projects. As a member of the Methodology & Quantitative Social Sciences department, she frequently collaborates with many other departments on research activities varying from frame construction and sample design through data delivery. Along every stage of the survey life cycle, Katie is committed to quality and is frequently called upon to provide quality control to ensure that projects are completed to the highest of standards.

Katie has contributed to the Survey of Consumer Finances over the past four project iterations, initially assisting with sampling activities, but over time increasing her involvement so that, in the current round, she is responsible for all data delivery activities and is the lead for adaptive survey design innovations for the project. In her involvement with the Surveys of Women, Katie set up reports to track weekly survey progress and monitor any concerning changes in data collection. She also leads data delivery activities for this suite of projects. On the Medicare Current Beneficiary Survey, Katie has adapted the process for matching and geocoding current Medicare beneficiaries through four major changes in the past year, all the while maintaining the highest quality product and ensuring on-time delivery of this process.

Project Contributions

Reproductive Health Experiences & Access

Tracking reproductive health experiences and access in the U.S.

Publications

  • Predicting Panel Attrition on a National Study: How Can We Optimize Locating Resources and Methods?

    Journal Article

    McNamara, Lauren, Melissa Heim Viox, Ned English, Papia Paul, Katie Dekker, and Ron Hazen

  • Qualities of Coverage: Who is Included or Excluded by Decisions of Frame Composition?

    Journal Article

    English, Ned, Colm O’Muircheartaigh, Katherine Dekker, and Lee Fiorio

  • Modeling the Need for Traditional vs. Commercially-Available Address Listings for In-Person Surveys: Results from a National Validation of Addresses (Summary).

    Journal Article

    English, Ned, Colm O’Muircheartaigh, Michael Latterner, Stephanie Eckman, and Katie Dekker

  • opens in new tabResponse Rate Projections for Household Screeners vs. Questionnaires: Can the Same Model Be Used for Both?

    Journal Article

    Archambeau, Katherine, Colm O’Muircheartaigh, Edward English, and Rebecca Curtis

  • Coverage Rates and Coverage Bias in Housing Unit Frames

    Journal Article

    English, Ned, Colm O’Muircheartaigh, Stephanie Eckman, Katherine Dekker, and Michael Latterner
Research Library & Findings