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Jan 31, 2024
Lwin, May Oo; Sheldenkar, Anita; Tng, Pei Ling, 2024, "Related data for: "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis"", https://doi.org/10.21979/N9/PCWG0U, DR-NTU (Data), V1, UNF:6:UPhTeITlQSFVpMgLVgzVmQ== [fileUNF]
This is the minimal anonymised dataset underlying the findings discussed in the paper titled "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis". Data for the 2020 survey is provided in its raw form, while data for the 2022 survey is shared... |
Jan 31, 2024 -
Related data for: "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis"
Tabular Data - 320 B - 74 Variables, 1 Observations - UNF:6:y2DIYvpxhiZXwcS3RgwRTw==
Aggregate data file for the 2022 survey, comprising earliest start date and final end date of survey, gender, age, ethnicity and education variables and scores for the 10 myths examined in 2022. |
Jan 31, 2024 -
Related data for: "You must be myths-taken: Examining belief in falsehoods during the Covid-19 health crisis"
Tabular Data - 76.5 KB - 22 Variables, 949 Observations - UNF:6:tyPVAJqnaaPh1HgmyeL9vg==
Raw data file for the 2020 survey, comprising start and end dates, gender, age, ethnicity and education variables and scores for the seven myths examined in 2020. |
