Using Multilevel Factor Model to Find between-Group Constructs: An I/O Application with an Employee Opinion Survey Dataset

The multilevel factor model can be used to find constructs that are theorized to exist a between-cluster level. A multilevel bifactor model was applied to an employee survey dataset, from which the level-1 and level-2 general factor could be interpreted as "subjective evaluation" and the "aggregated employee satisfaction," respectively.