Graph Signal Processing (GSP) plays a crucial role in addressing the growing need for information processing across networks, especially in tasks like supervised classification. However, the success of GSP in such tasks hinges on accurately identifying the underlying relational structures, which are often not readily available and must be inferred…

The purpose of this quantitative inferential study is to determine the level of correlation between the organizational factors of information security awareness, balanced security processes, and organizational structure with the size of the estimation gap of information security implementations mediated by the end user intentionality. The study…

Despite high-stakes applications of assessment findings, assessment data are frequently collected in situations that are of low-stakes to examinees. Because low-stakes tests are of little consequence to the examinees, test-taking motivation and thus the validity of inferences drawn from unmotivated examinees' scores are of concern. The current…