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.
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
Capabilities
Data Collection & Survey Research Data Management Multimode Methods Survey DesignTopics
Complex Surveys