Psychometric development of the COVID-19 vaccine misinformation scale and effects on vaccine hesitancy
To help inform post-COVID-19 pandemic practical health policies, the researchers created the COVID-19 vaccine misinformation scale (CVMS). During the COVID-19 pandemic, falsehoods spread online which casted doubt and concerns about the vaccine. Example misconceptions included vaccination leads to gr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-02-01
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| Series: | Preventive Medicine Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211335522003941 |
| _version_ | 1811173407542214656 |
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| author | Stephen Bok Daniel Martin Erik Acosta James Shum Jason Harvie Maria Lee |
| author_facet | Stephen Bok Daniel Martin Erik Acosta James Shum Jason Harvie Maria Lee |
| author_sort | Stephen Bok |
| collection | DOAJ |
| description | To help inform post-COVID-19 pandemic practical health policies, the researchers created the COVID-19 vaccine misinformation scale (CVMS). During the COVID-19 pandemic, falsehoods spread online which casted doubt and concerns about the vaccine. Example misconceptions included vaccination leads to greater vulnerability to other illness and would alter someone’s DNA. The researchers performed two large surveys with U.S. participants. The researchers reviewed debunked COVID-19 vaccine falsehoods online. Construction of the CVMS followed standard psychometric scale development steps. Statistical analysis provided support for the 10-item CVMS with satisfactory reliability, discriminant validity, and convergent validity. Predictive validity regression analysis demonstrated the CVMS associated with higher vaccine hesitancy. The prevalence of vaccine misbeliefs broadened pandemic healthcare challenges. On top of existing duties, healthcare workers had to explain vaccine efficacy and safety to dispel fallacies. The researchers discuss implications for the CVMS within the context of motivated reasoning theory. |
| first_indexed | 2024-04-10T17:46:19Z |
| format | Article |
| id | doaj.art-4dca1039b8ca41dea36fca1f56b85c2e |
| institution | Directory Open Access Journal |
| issn | 2211-3355 |
| language | English |
| last_indexed | 2024-04-10T17:46:19Z |
| publishDate | 2023-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Preventive Medicine Reports |
| spelling | doaj.art-4dca1039b8ca41dea36fca1f56b85c2e2023-02-03T04:57:42ZengElsevierPreventive Medicine Reports2211-33552023-02-0131102087Psychometric development of the COVID-19 vaccine misinformation scale and effects on vaccine hesitancyStephen Bok0Daniel Martin1Erik Acosta2James Shum3Jason Harvie4Maria Lee5Department of Marketing, College of Business and Economics, California State University, East Bay, Hayward, CA, USA; Corresponding author.Department of Management, College of Business and Economics, California State University, East Bay, Hayward, CA, USACalifornia State University, East Bay, Hayward, CA, USAGolden Gate University, San Francisco, CA, USACalifornia State University, East Bay, Hayward, CA, USANutritional Therapist, NTP, CMT, University of California, Irvine, Irvine, CA, USATo help inform post-COVID-19 pandemic practical health policies, the researchers created the COVID-19 vaccine misinformation scale (CVMS). During the COVID-19 pandemic, falsehoods spread online which casted doubt and concerns about the vaccine. Example misconceptions included vaccination leads to greater vulnerability to other illness and would alter someone’s DNA. The researchers performed two large surveys with U.S. participants. The researchers reviewed debunked COVID-19 vaccine falsehoods online. Construction of the CVMS followed standard psychometric scale development steps. Statistical analysis provided support for the 10-item CVMS with satisfactory reliability, discriminant validity, and convergent validity. Predictive validity regression analysis demonstrated the CVMS associated with higher vaccine hesitancy. The prevalence of vaccine misbeliefs broadened pandemic healthcare challenges. On top of existing duties, healthcare workers had to explain vaccine efficacy and safety to dispel fallacies. The researchers discuss implications for the CVMS within the context of motivated reasoning theory.http://www.sciencedirect.com/science/article/pii/S2211335522003941SARS-CoV-2 vaccine misinformation beliefsPreventative health carePsychometric validation |
| spellingShingle | Stephen Bok Daniel Martin Erik Acosta James Shum Jason Harvie Maria Lee Psychometric development of the COVID-19 vaccine misinformation scale and effects on vaccine hesitancy Preventive Medicine Reports SARS-CoV-2 vaccine misinformation beliefs Preventative health care Psychometric validation |
| title | Psychometric development of the COVID-19 vaccine misinformation scale and effects on vaccine hesitancy |
| title_full | Psychometric development of the COVID-19 vaccine misinformation scale and effects on vaccine hesitancy |
| title_fullStr | Psychometric development of the COVID-19 vaccine misinformation scale and effects on vaccine hesitancy |
| title_full_unstemmed | Psychometric development of the COVID-19 vaccine misinformation scale and effects on vaccine hesitancy |
| title_short | Psychometric development of the COVID-19 vaccine misinformation scale and effects on vaccine hesitancy |
| title_sort | psychometric development of the covid 19 vaccine misinformation scale and effects on vaccine hesitancy |
| topic | SARS-CoV-2 vaccine misinformation beliefs Preventative health care Psychometric validation |
| url | http://www.sciencedirect.com/science/article/pii/S2211335522003941 |
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