Business

Disease

Coronavirus disease 2019 (COVID-19)

Mathematics

Regret

Theory of planned behavior

Computer science

Vaccination

Immunology

Medicine

Control (management)

Accounting

Explained variation

Variables

Infectious disease (medical specialty)

Artificial intelligence

Statistics

Psychology

Variance (accounting)

Multilevel model

Social psychology

Pathology

Regression analysis

American Journal of Health Promotion

Purpose This study aims to apply and extend the theory of planned behavior (TPB) to predict intention to take a COVID-19 vaccine. Design Cross-sectional. Setting Online. Sample Adult US residents recruited from Amazon Mechanical Turk ( n = 172). Measures Intention to take a COVID-19 vaccine (outcome variable), demographic variables (predictors), standard TPB variables (perceived behavioral control, attitude, and subjective norm; predictors), and non-TPB variables (anticipated regret, health locus of control, and perceived community benefit; predictors). Analysis Hierarchical linear regression predicting intention to take a COVID-19 vaccine, with demographic, standard TPB, and non-TPB variables entered in regression models 1, 2, and 3, respectively. Results The extended TPB model accounted for 72.5% of the variance in vaccination intention ( p &lt; .001), with perceived behavioral control ( β = .29, p &lt; .001), attitude ( β = .23, p = .043), and perceived community benefit ( β = .23, p = .020) being signific...

Predicting Intention to Take a COVID-19 Vaccine in the United States: Application and Extension of Theory of Planned Behavior