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- Title
Using SEM Methodology for Analyzing Cyber Security Phenomenon.
- Authors
Mejias, Roberto J.; Greer, Joshua J.; Greer, Gabrila G.; Reyes, Raul Y.
- Abstract
The popularity of structural equation modeling (SEM) as a statistical technique has grown significantly in recent decades. Additionally, the use of SEM has proven to be an effective and innovative graphical methodology for researchers and higher education students exploring the determinants of cyber security phenomenon, specifically cyber security threat awareness. SEM consists of a set of methods for constructing research models to represent how observable and theoretical variables are causally and structurally correlated with each other. These causational and correlational equations are graphically presented simultaneously as one statistical estimation procedure to test whether empirical data supports the proposed research model. This paper presents a methodology for students and researchers to develop a SEM model for assessing the determinants of Cyber Security Awareness (CSA) that supports their cyber security programs of study. Student questionnaire surveys were developed, administered, and analyzed to determine if the survey items, representing instrumental variables, converged upon their respective latent constructs and their correlations to their target variable of interest: CSA. Our paper also illustrates the use of factor analysis to develop latent theoretical constructs and confirmatory factor analysis (CFA) models that will assist higher education students to develop a SEM model that test the hypotheses in their proposed research model.
- Subjects
INTERNET security; STRUCTURAL equation modeling; CONFIRMATORY factor analysis; FACTOR analysis; CYBERTERRORISM
- Publication
Business Education Innovation Journal, 2023, Vol 15, Issue 1, p193
- ISSN
1945-0915
- Publication type
Article