Internet Panel Surveys for Disability Data Collection
Researchers and policymakers are turning to internet panel surveys as a cost-effective and efficient method to collect data on disability and informal care prevalence. This modern approach offers advantages such as high response rates, speedy data collection, and lower costs compared to traditional survey methods. The use of internet panels raises important research questions regarding the validity and comparability of disability rates with traditional sources. Different panel types like GFK KnowledgePanel and NORC AmeriSpeak provide varying coverage and accessibility for disabled individuals and the general population. Additionally, traditional surveys like the American Community Survey and Behavioral Risk Factor Surveillance System offer a longstanding reputation and are commonly utilized for data analyses in the field of disability research and policy.
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Helen Lamont, Ph.D. Office of Disability, Aging, and Long-Term Care Policy Office of the Assistant Secretary for Planning and Evaluation U.S. Department of Health and Human Services
Researchers and policymakers need timely, valid and reliable data on disability Traditional surveys are resource intensive both in terms of time and money and recently have experienced declining response rates Internet panel surveys offer an opportunity to collect data more efficiently and at a fraction of the cost
A sample frame of individuals recruited either through probability sampling or nonprobability methods Participants agree to provide basic sociodemographic household information and respond to surveys that are sent electronically These methods are fast, often yield high response rates, and are less expensive than telephone or in-person surveys 3
Answer two research questions: 1. Can an internet panel collect valid and reliable national estimates on disability and informal care prevalence for adults? 2. Are the rates of disability using internet panels comparable to that observed using traditional data sources?
Probability High coverage Some access provisions for disabled GFK KnowledgePanel Similar to NORC Smallest panel (25k) Internet and telephone methods NORC AmeriSpeak Non-probability Largest panel (7.1m) Up to 35 invitations per week SSI Non-probability Panel is mostly used for market research Optional router LightSpeed Non-probability High survey completion rates (85%+) YouGov
Valued reputation and frequently used for analyses Same health questions as internet panels Sufficient sample size Traditional Survey Selection Criteria American Community Survey Behavioral Risk Factor Surveillance System Medical Expenditure Panel Survey Health and Retirement Survey Four Traditional Surveys Demographics & health items Overall & by subdomains Total frame (coverage) & respondents (nonresponse) Targeted Comparisons
16 BRFSS 14 Panel 1 12 Percent of the population MEPS 10 ACS 8 6 BRFSS Panel 1 4 ACS MEPS 2 0 Walking or Climbing Stairs Dressing or Bathing ACS BRFSS MEPS Panel 1
18 BRFSS 16 14 Percent of the population MEPS 12 ACS 10 Panel 2 8 Panel 2 6 BRFSS 4 ACS MEPS 2 0 Walking or Climbing Stairs Dressing or Bathing ACS BRFSS MEPS Panel 2
1. Can an internet panel collect valid reliable informal care prevalence for adults? valid and and reliable national estimates on disability and Variation in methods and transparency between panels. Panels were inconsistent when compared to traditional surveys. Inconsistency seemed to be due to coverage error; however, more analysis is necessary.
2. Are the rates of disability using internet panels comparable to that observed using traditional data sources? Traditional surveys also differed from each other Level of variation among traditional surveys similar to variation between panels and traditional surveys 10
What are the fundamental issues for collecting reliable, accurate, and precise data on individuals with disability through internet panels? What criteria need to be satisfied before ASPE should feel confident that the methods employed by the internet panel can address these fundamental issues? Which of these criteria have yet to be satisfied? Among the criteria not yet satisfied, what standards should be used to evaluate them or methods employed to ensure they are satisfied? 12
TEP meeting end of February Recommendations: Additional analyses? Pilot test? Work with internet panels? Design a survey instrument 13