Mode Effects in the Research and Development Survey

• Activity Number: 287 - Contributed Poster Presentations: Government Statistics Section
• Type: Contributed
• Date/Time: Tuesday, August 9, 2022 : 10:30 AM to 12:20 PM
• Sponsor: Government Statistics Section
• Author(s): Bill Cai* and Katherine Irimata and Yulei He and Paul Joseph Scanlon and Hee-Choon Shin
• Companies: CDC and National Center for Health Statistics and National Center for Health Statistics and National Center for Health Statistics and CDC
• Keywords: RANDS; Web survey; Calibration; Propensity score analysis

Abstract

The Division of Research and Methodology of the National Center for Health Statistics (NCHS) has been conducting a series of web surveys, referred to as the Research and Development Survey (RANDS). RANDS is based on recruited probability panels and focuses on collecting health-related information. While early rounds of RANDS were conducted exclusively via web administration. RANDS 4 and RANDS during COVID-19 (conducted in 2020) were the first RANDS surveys to incorporate telephone administration. The research is focusing on how the telephone mode present in the RANDS surveys which collected responses by telephone effects the results comparing with the RANDS surveys which collected response only by web (web mode), and what patterns, if any, can be seen identified between the two modes. The study is conducted by utilizing RANDS 4, through descriptive analysis and estimating mode effects using calibration approaches. The descriptive analyses will evaluate sociodemographic factors and estimates of common health outcomes by mode and test for statistical differences. The calibration approach will adjust the weights using the sociodemographic variables by raking for web, phone mode separately and combined, and propensity score adjustment.