News
Conference

2024 FedCASIC Workshops Feature Westat Expertise

April 10, 2024

Westat experts are bringing their expertise in data science, multimode surveys, machine learning, and more to the annual Federal Computer Assisted Survey Information Collection (FedCASIC) Workshops to be held April 16-17, 2024, as a virtual conference.

Westat staff (in bold) participating and providing insights this year follow.

Tuesday, April 16, 2024

10:15 – 11:45 am (ET)

Ting Yan and Wendy Hicks. (Presentation). Revisiting Total Survey Error Framework In a Multimode and MultiData Environment.

Ting Yan, Gizem Korkmaz, David Cantor, Kevin Wilson, Olivia He, and Rashi Saluja. (Presentation). Using Machine Learning to Identify Careless Web Respondents.

1:00 – 2:30 pm (ET)

Mengshi Zhou, Gizem Korkmaz, Ting Yan, Ryan Hubbard, Rick Dulaney, and Brad Edwards. (Presentation). Use of Clustering Methods on Paradata to Inform Surveys.

2:45 – 4:15 pm (ET)

Karen Moyes. (Presentation).Best Practices for Accessible Data Visualization.

Wednesday, April 17, 2024

10:15 – 11:45 am (ET)

Hanyu Sun, Ting Yan, and Anil Battalahalli. (Presentation). Applying Machine-Learning to Interviewer Monitoring and Question Assessment.

1:00 – 2:30 pm (ET)

Benjamin Schneider, Tamara Nimkoff, Anthony Fucci, and Andy Cruse. (Presentation). Equipping State Agency Staff to Analyze Nonresponse Bias in Federal Survey Programs.

2:45 – 4:15 pm (ET)

Hanyu Sun, Rick Dulaney, Heidi Guyer, Andrew Hupp, and Dina Neiger. (Roundtable Session).Video Interviewing in Quantitative Surveys, Today and Tomorrow

News

Deep Dive with Our Experts

view all news

How can we help?

We welcome messages from job seekers, collaborators, and potential clients and partners.

Get in Contact

Want to work with us?

You’ll be in great company.

Explore Careers
Back to Top
Privacy Overview
Westat

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognizing you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.

Strictly Necessary Cookies

Strictly Necessary Cookie should be enabled at all times so that we can save your preferences for cookie settings.

3rd Party Cookies

This website uses Google Analytics to collect anonymous information such as the number of visitors to the site, and the most popular pages.

Keeping this cookie enabled helps us to improve our website.

Additional Cookies

This website uses the following additional cookies:

  • Google Analytics
  • Google Tag Manager
  • Google Search Console
  • Google Sitekit