The relationships between high performance cycle variables and job performance in Federal employees

摘要

E. A. Locke and G. Latham's high performance cycle (HPC) model using goal setting theory (GST) is evaluated in the context of the U.S. Federal government using structural equation modeling (SEM) and the 2014 U.S. Office of Personnel Management's (OPM) Federal Employee Viewpoint Survey (FEVS). Given the size of the data set (392,752) all variables are found statistically significantly correlated with satisfaction and performance (and each other), though ability and self-efficacy, organizational commitment, cooperation, supervision and direction, and a supportive system and culture (in order of decreasing effect) were found to be most strongly correlated with performance. Overall, the data did not fit an SEM model of the HPC.