Abstract Number:
1848
Submission Type:
Topic-Contributed Paper Session
Participants:
Minsun Riddles (1), Jean Opsomer (1), Gizem Korkmaz (1), Amy Lin (1), Stephanie Zimmer (2), Jay Clark (1), Wan-Ying Chang (3)
Institutions:
(1) Westat, N/A, (2) RTI International, N/A, (3) National Science Foundation, N/A
Chair:
Discussant(s):
Session Organizer:
Speaker(s):
Session Description:
Government surveys play a critical role in shaping evidence-based policies, fostering informed decision-making, and addressing the evolving needs of the population. However, these surveys are confronted with increasing challenges, including declining response rates. Despite these obstacles, federal statistical agencies are committed to upholding the quality of their data, adapting methodologies, and exploring innovative approaches to ensure the continued effectiveness of this vital tool in policymaking. In an era of data abundance, one strategy to achieve this is through leveraging external data sources to enhance these surveys, aligning with the overarching theme of JSM 2024: 'Statistics and Data Science: Informing policy and countering misinformation.'
This session comprises three presentations. The first two showcase applications of harnessing the power of external data sources to improve efficiency in data collection and reduce nonresponse bias. The third presentation focuses on the evaluation of linked data, assessing its potential to improve efficiency of federal surveys. Two discussants will provide insights into each application, discussing potential challenges and outlining next steps for advancing the effectiveness of federal government surveys in the contemporary data landscape. These discussants bring valuable perspectives to the topic, representing the fields of survey statistics and data science, and offering their expertise in improving the quality of government surveys.
We believe this session aligns well with the theme of JSM 2024: 'Statistics and Data Science: Informing policy and countering misinformation' by exploring innovative approaches to expanding the sources of information. Focused on improving federal government surveys, the presentations will delve into the strategic use of external data to enhance survey methodologies, thereby contributing to the broader goals of informed policymaking and countering misinformation. The participants of this proposed session are listed below.
1. Stephanie Zimmer, from Research Triangle Institute, will demonstrate the use of an enhanced address frame supplemented by data from marketing vendors along with historic survey data from a prior unrelated study to efficiently target a population of certain ages for the National Survey of Family Growth. The tentative title is "Age-Eligibility Oversampling to Reduce Screening Costs in a Multimode Survey."
2. Jay Clark, from Westat, will explore the expansion of weighting variables including publicly available area-level estimates to address information limitations in weighting for earlier stages of data collection and to mitigate nonresponse bias in the face of declining response rates. He will elucidate the impact of incorporating these additional variables on weights, key estimates, and their estimated bias in the recent National Health and Nutrition Examination Survey data. The tentative title is "Leveraging External Data Sources to Mitigate Nonresponse Bias in a National Survey."
3. Wan-Ying Chang, from the National Center for Science and Engineering Statistics with the National Science Foundation, will describe the evaluation of the potential use of linked data to enhance the efficiency of federal surveys, using the Survey of Doctorate Recipients. She will illuminate quality considerations related to external sources, shedding light on their strengths and limitations. The tentative title is "Evaluation of Linked Survey Data."
Sponsors:
Government Statistics Section 2
Social Statistics Section 3
Survey Research Methods Section 1
Theme:
Statistics and Data Science: Informing Policy and Countering Misinformation
Yes
Applied
Yes
Estimated Audience Size
Small (<80)
I have read and understand that JSM participants must abide by the Participant Guidelines.
Yes
I understand and have communicated to my proposed speakers that JSM participants must register and pay the appropriate registration fee by June 1, 2024. The registration fee is nonrefundable.
I understand