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- Title
Measuring Motivation for COVID-19 Vaccination: An Application of the Transtheoretical Model.
- Authors
Sacco, Allegra; Robbins, Mark L.; Paiva, Andrea L.; Monahan, Kathleen; Lindsey, Hayley; Reyes, Cheyenne; Rusnock, Andrea
- Abstract
Purpose: In the United States (US), individuals vary widely in their readiness to get vaccinated for COVID-19. The present study developed measures based on the transtheoretical model (TTM) to better understand readiness, decisional balance (DCBL; pros and cons), self-efficacy (SE), as well as other motivators for change such as myths and barriers for COVID-19 vaccination. Design: Cross-sectional measurement development. Setting: Online survey. Sample: 528 US adults ages 18-75. Measures: Demographics, stage of change (SOC), DCBL, SE, myths, and barriers. Analysis: The sample was randomly split into halves for exploratory factor analysis using principal components analysis (EFA/PCA), followed by confirmatory factor analyses (CFA) to test measurement models. Correlation matrices were assessed and multivariate analyses examined relationships between constructs and sub-constructs. Results: For DCBL, EFA/PCA revealed three correlated factors (one pros, two cons) (n 1 = 8, α =.97; n 2 = 5, α =.93; n 3 = 4, α =.84). For SE, two correlated factors were revealed (n 1 = 12, α =.96; n 2 = 3, α =.89). Single-factor solutions for Myths (n = 13, α =.94) and Barriers (n = 6, α =.82) were revealed. CFA confirmed models from EFAs/PCAs. Follow-up analyses of variance aligned with past theoretical predictions of the relationships between SOC, pros, cons, and SE, and the predicted relationships with myths and barriers. Conclusion: This study produced reliable and valid measures of TTM constructs, myths, and barriers to understand motivation to receive COVID-19 vaccination that can be used in future research.
- Subjects
UNITED States; COVID-19 vaccines; PRINCIPAL components analysis; EXPLORATORY factor analysis; CONFIRMATORY factor analysis; MULTIVARIATE analysis
- Publication
American Journal of Health Promotion, 2023, Vol 37, Issue 8, p1109
- ISSN
0890-1171
- Publication type
Article
- DOI
10.1177/08901171231197899