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) (n1 = 8, α = .97; n2 = 5, α = .93; n3 = 4, α = .84). For SE, two correlated factors were revealed (n1 = 12, α = .96; n2 = 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.
Keywords: COVID-19; decision making; health behaviors; transtheoretical model; vaccination; vaccine confidence.