10.48349/ASU/HQYADA Salon, Deborah Deborah Salon https://orcid.org/0000-0002-2240-8408 Arizona State University Bhagat-Conway, Matthew Wigginton Matthew Wigginton Bhagat-Conway https://orcid.org/0000-0002-1210-2982 Arizona State University da Silva Baker, Denise Denise da Silva Baker https://orcid.org/0000-0003-1414-8439 Arizona State University Chauhan, Rishabh Rishabh Chauhan https://orcid.org/0000-0001-7188-557X University of Illinois at Chicago Shamshiripour, Ali Ali Shamshiripour University of Illinois at Chicago Rahimi, Ehsan Ehsan Rahimi https://orcid.org/0000-0002-8649-7542 University of Illinois at Chicago Mirtich, Laura Laura Mirtich https://orcid.org/0000-0002-0467-2934 Arizona State University Khoeini, Sara Sara Khoeini Arizona State University Mohammadian, Kouros Kouros Mohammadian https://orcid.org/0000-0003-3595-3664 University of Illinois at Chicago Derrible, Sybil Sybil Derrible https://orcid.org/0000-0002-2939-6016 University of Illinois at Chicago Pendyala, Ram Ram Pendyala https://orcid.org/0000-0002-1552-9447 Arizona State University ASU Library Research Data Repository 2025 Engineering Social Sciences COVID-19 Salon, Deborah Deborah Salon Arizona State University 2020-12-02 2025-08-19 99084 1896022 157799719 13333420 611291 19977 text/tab-separated-values application/octet-stream text/tab-separated-values text/tab-separated-values application/pdf text/plain 1.0 Custom terms specific to this dataset <p>COVID-19 and the Future Study data, version 0.9.0, generated December 1, 2020. This version of the data has 8,723 responses. The survey was done in two parts, an initial unfunded sample collected by Arizona State University (ASU), referred to as Wave 1A, and a later nationally-representative sample collected by ASU and the University of Illinois at Chicago funded by the National Science Foundation (NSF), referred to as Wave 1B. Wave 1B also includes convenience sample respondents recruited after late June 2020. Some changes to the survey were made based on the results from the original ASU survey before this nationally-representative deployment. Variables ending in _w1a are available in only the ASU initial sample. Variables ending in _w1b are available only in the nationally-representative sample. Variables ending in _harm were asked in both surveys, but in slightly different ways, and have been harmonized (the harmonization procedure is described with each variable in the codebook). Finally, variables with no suffix were present and asked the same way in both surveys. </p> <p> The most recent version of this dataset can be found in the <a href="https://dataverse.asu.edu/dataverse/covidfuture">COVID Future Survey collection</a> within this repository. The most recent version as of date is <a href="https://doi.org/10.48349/ASU/TM7DGM">v1.1.0</a> </p> Usage notes: Since the survey will be followed by at least two follow-up survey waves, the database will be updated periodically. The weights were developed to produce a sample that is representative of the U.S. population, as well as representative of 9 divisions within the U.S.: 8 census regions (with East and West South Central combined due to small samples in these regions), and a separate category for Arizona due to its high response rate. The weights are not guaranteed to produce a representative sample in other geographies. When evaluating subsamples at a finer geography (e.g., state or metropolitan area), data users should compare marginal distributions of key demographic variables with the census, and re-weight the data if needed to be representative of the area being analyzed. Some questions differ between Waves 1A and 1B. Therefore, we have weighted the dataset twice: once with all respondents (Waves 1A and 1B), and once without respondents to the Wave 1A sample. Data users should use the weights for the sample without the Wave 1A sample whenever using variables that are not present in the convenience sample. Since Wave 1A deviates significantly from representativeness4, there are no weights for questions asked only of Wave 1A respondents.