Journal article
P. Dobbs, K. Jozkowski, B. Hammig, H. Blunt-Vinti, J. Henry, Wen-Juo Lo, D. Gorman, Abbie Luzius
American Journal of Health Behavior, 2019
American Journal of Health Behavior, 2019
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APA
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Dobbs, P., Jozkowski, K., Hammig, B., Blunt-Vinti, H., Henry, J., Lo, W.-J., … Luzius, A. (2019). College Student E-cigarette Use: A Reasoned Action Approach Measure Development. American Journal of Health Behavior.
Chicago/Turabian
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Dobbs, P., K. Jozkowski, B. Hammig, H. Blunt-Vinti, J. Henry, Wen-Juo Lo, D. Gorman, and Abbie Luzius. “College Student E-Cigarette Use: A Reasoned Action Approach Measure Development.” American Journal of Health Behavior (2019).
MLA
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Dobbs, P., et al. “College Student E-Cigarette Use: A Reasoned Action Approach Measure Development.” American Journal of Health Behavior, 2019.
BibTeX Click to copy
@article{p2019a,
title = {College Student E-cigarette Use: A Reasoned Action Approach Measure Development.},
year = {2019},
journal = {American Journal of Health Behavior},
author = {Dobbs, P. and Jozkowski, K. and Hammig, B. and Blunt-Vinti, H. and Henry, J. and Lo, Wen-Juo and Gorman, D. and Luzius, Abbie}
}
Abstract
Objectives: The purpose of this study was to develop and validate an instrument using the reasoned action approach (RAA) to measure recreational electronic cigarette (e-cigarette) use among college students.
Methods: Using a multi-phase, cross-sectional design, a 32-item measure was developed, and the factor structure was explored and confirmed using an exploratory factor analysis (EFA; N = 369) and confirmatory factor analysis (CFA; N = 320), respectively. An exploratory structural equation model (ESEM) and SEM also were employed to examine the relationships between latent constructs and to test the application of the RAA.
Results: After removing 9 items, the EFA identified 3 RAA constructs (intention, attitude, social norms), and the ESEM established moderate model fit. The CFA confirmed the 3 factors; however, acceptable model fit was not met until a global social norm variable was loaded onto injunctive and descriptive norms. Based on this 5-factor solution, attitudes (β = .35, p < .001) and social norms (β = .50, p <.001) significantly predicted intention to use e-cigarettes.
Conclusions: Attitudes and social norms influence college students' intention to use e-cigarettes and should be addressed via health education messaging and prevention programs.
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