Evaluating underlying factor structures using novel machine learning algorithms: An empirical and simulation study

Abstract The scale development paradigm was created to improve the measurement of latent constructs. Although several statistical techniques have been successfully integrated into the overall process, identifying factor patterns and validating constructs using smaller datasets with different correlational structures remain…