DOI: 10.3886/icpsr39204.v1
title: Tufts Survey of Equity in Health, Wealth, and Civic Engagement, United States, 2020-2022
title: Version 1

description: The Tufts Survey of Equity in Health, Wealth, and Civic Engagement was a longitudinal study of a nationally representative sample of adults across the United States from 2020 to 2022. The data is a combination of unique questions and purchased archived variables previously collected by Ipsos. As many as possible of the same individuals were contacted across the waves. Items involve measures of health, wealth, and civic engagement.
description: The purpose of this study was to learn more about American adults' opinions and experiences with health, wealth, and civic engagement.
description: There are three waves in the study. Each wave asked questions about respondents' finances, experiences with being treated unfairly, organizations respondents were a part of, medical conditions, and health insurance coverage.
description: The pool of active members was weighted to geodemographic benchmarks secured from the March 2019 supplement of the U.S. Census Bureau's Current Population Survey along the geodemographic dimensions of: Gender (female, male); age (18-29, 30-44, 45-59, 60 years or older); race/ethnicity (Hispanic, Non-Hispanic Black, Non-Hispanic White, Non-Hispanic Other, 2+ Non-Hispanic races); educational attainment (less than high school, high school, some college, Bachelor's and beyond); census region (Northeast, Midwest, South, West); annual household income (under $10K, $10K to $24,999, $25K to $49,999, $50K to $74,999, $75K to $99,999, $100K to $149,999, and $150K or greater); home ownership status (own, rent/other); metropolitan area (yes, no); and Hispanic origin (Cuban, Mexican, Puerto Rican, other, non-Hispanic).


Using the resulting weights as measures of size, a probability-proportional-to-size (PPS) procedure was used to select the study sample. Once all survey data were collected and processed, design weights were adjusted to account for differential nonresponse. Using geodemographic distributions obtained from the U.S. Census Bureau's Current Population Survey and American Community Survey, researchers applied an iterative proportional fitting (raking) procedure to produce the final weights. Researchers used the following benchmark distributions of U.S. adults age 18 and older from the most recent Current Population Survey March Supplement (2019) for the ranking adjustment of weights, and they used the 2018 ACS language proficiency benchmarks to adjust weights for Hispanic respondents: gender (female, male) by age (18-29, 30-44, 45-59, 60 years or older); race/ethnicity (Non-Hispanic White, Non-Hispanic Black, Non-Hispanic Other, Hispanic, 2+ Non-Hispanic races); census region (Northeast, Midwest, South, West) by metropolitan status (metro, non-metro); education (less than high school, high school, some college, Bachelor's or higher); annual household income (under $10K, $10K to $24,999, $25K to $49,999, $50K to $74,999, $75K to $99,999, $100K to $149,999, and $150K or greater); and language proficiency (Non-Hispanic, English proficient Hispanic, bilingual Hispanic, Spanish proficient Hispanic).


In the final step, researchers examined calculated weights to identify outliers at the extreme upper and lower tails of the weight distribution, and they determined no trimming of outliers was needed. The resulting weights were then scaled to aggregate to the total sample size of all eligible respondents. The design effect was 1.2487.
description: Response Rates: From the random sample of 1980 panel members, 1267 responded to the invitation, and all qualified for the survey, yielding a final stage completion rate of 64.0% and a qualification rate of 100% percent. The panel recruitment rate (for agreeing to join the panel) for this study, reported by Ipsos, was 11.9% and the profile rate (for completing the profile survey collecting key demographics for sampling and weighting, required before panel members can complete any other surveys) was 61.1%, resulting in a cumulative response rate (recruitment rate x profile rate x survey completion rate) of 4.7%.
description: Presence of Common Scales: Many items use Likert scales or other ordinal scales for response options. In addition, researchers have used the data to construct and validate scales based on multiple items, employing factor analysis and other latent-variable methods. Those constructed scale variables are not included in the dataset.
description: The participants were chosen via a random selection of telephone numbers and residential addresses, the collection mode (IPSOS KnowledgePanel) that was used is a probability-based panel that is designed to be representative of the U.S. population.
description: Datasets: 
DS0: Study-Level Files
DS1: Public-Use Data
DS2: Restricted-Use Data
description: Persons aged over 18 living in non-institutionalized settings in the United States. Smallest Geographic Unit: ZIP code
description: web-based survey