Tufts Survey of Equity in Health, Wealth, and Civic Engagement, United States, 2020-2022 (ICPSR 39204)

Version Date: Aug 19, 2025

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Principal Investigator(s):
Peter Levine, Tufts University; Thomas Stopka, Tufts University; Jennifer Allen, Tufts University; Jayanthi Mistry, Tufts University

https://doi.org/10.3886/ICPSR39204.v1

Version V1

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Summary

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.

Citation

Levine, Peter, Stopka, Thomas, Allen, Jennifer, and Mistry, Jayanthi. Tufts Survey of Equity in Health, Wealth, and Civic Engagement, United States, 2020-2022. Inter-university Consortium for Political and Social Research [distributor], 2025-08-19. https://doi.org/10.3886/ICPSR39204.v1

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Funding

Office of the Vice Provost for Research; Tufts University, Tufts University Research and Scholarship Strategic Plan; Tufts University, Jonathan M. Tisch College of Civic Life; Tufts University, Data Intensive Studies Center; Tufts University, Clinical and Translational Science Institute; Tufts University

Subject Terms

Geographic Coverage

Smallest Geographic Unit

ZIP code

Restrictions

This data collection may not be used for any purpose other than statistical reporting and analysis. Use of these data to learn the identity of any person or establishment is prohibited. To protect respondent privacy, some of the data files in this collection are restricted from general dissemination. To obtain these restricted files, researchers must agree to the terms and conditions of a Restricted Data Use Agreement.

Distributor(s)

Inter-university Consortium for Political and Social Research
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Time Period(s)

2020 -- 2022

Date of Collection

2020-05-29 -- 2020-06-10, 2021-04-23 -- 2021-05-03, 2022-05-26 -- 2022-06-02
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Study Purpose

The purpose of this study was to learn more about American adults' opinions and experiences with health, wealth, and civic engagement.

Sample

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.

Time Method

Longitudinal

Universe

Persons aged over 18 living in non-institutionalized settings in the United States.

Unit(s) of Observation

Individual

Data Type(s)

Mode of Data Collection

Description of Variables

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.

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%.

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.

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Original Release Date

2025-08-19

Version History

2025-08-19 ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection:

  • Created variable labels and/or value labels.
  • Performed recodes and/or calculated derived variables.
  • Checked for undocumented or out-of-range codes.

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Weight

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.

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Notes