Signal detection theory has been used in such fields as psychophysics and engineering, in which
research focuses on observers' ability to detect signals and make yes/no decisions from two types of observed categories (i.e., signal and noise). Latent class analysis is used when the classes or categories are unobserved. Latent class analysis has been typically used in medical research to determine the presence or absence of disease based on various test results. This study used a latent class
extension of signal detection theory. Comparisons were made between the classifications of examinees' pass/fail status based on the use of a traditional standard setting method and classifications based…
