WXS22
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
WXS22
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Identifier |
https://doi.org/10.7910/DVN/Q5SCBB
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Creator |
Bitterman, Abby
Ripberger, Joseph Silva, Carol Jenkins-Smith, Hank Trujillo-Falcón, Joseph Gaviria Pabón, América Krocak, Makenzie |
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Publisher |
Harvard Dataverse
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Description |
This report describes the results of a nationwide survey of Spanish speakers on severe weather in the United States. The 2022 Severe Weather and Society Spanish Survey (WXS22) was designed and administered by the Institute for Public Policy Research and Analysis (IPPRA) at the University of Oklahoma. This is the second survey in the Severe Weather and Society Spanish series (see Krocak et al. 2021 for information on WXS21), but its English equivalent is an annual series that has been conducted since 2017 (see Silva et al. 2017, Silva et al. 2018, Silva et al. 2019, Krocak et al. 2020, Ripberger et al. 2021, and Bitterman et al. 2022 for information on WX17, WX18, WX19, WX20, WX21, and WX22 respectively). WXS22 was fielded July 15 – August 5, 2022, using an online questionnaire that was completed by 633 U.S. adults (age 18+) that were recruited from an Internet panel. In order to complete the survey, respondents had to indicate that they speak Spanish well or very well. The median completion time was 18 minutes. In addition to asking respondents many of the same questions as the WX surveys, the WXS22 survey also asked respondents several experimental questions to test the way risk and probability are communicated to Spanish speakers. Like the WX surveys, WXS22 measured public trust in the National Weather Service (NWS), extreme weather and climate risk perceptions, risk literacy, interpretations of probabilistic language, and interpretation of longer-range severe weather forecasts (like those from the NOAA Storm Prediction Center). This report presents an overview of methodology of the survey data collection, data weighting, and a reproduction of the survey instrument with weighted means and frequencies for the questions that elicited numeric responses.
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Subject |
Social Sciences
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Date |
2023-01-18
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Contributor |
Krocak, Makenzie
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