Testing the Model of Goal-directed Behavior for Predicting Sleep Behaviors

Objectives: We tested a model of goal-directed framework to predict the sleep desires, intentions, and behaviors of employed college students who operated motor vehicles. Methods: Model building procedures included exploratory factor analysis, confirmatory factor analysis, and structural equation modeling. Results: Significant paths were identified among attitude towards the behavior, positive emotions, and negative emotions for behavioral desires (R²=.654). Direct paths were identified between perceived behavioral control and behavioral desires for behavioral intentions (R²=.513). Finally, direct paths were identified between perceived behavioral control and behavioral intentions for sleep behavior (R²=.464). Conclusions: The model of goal-directed behaviors appears robust for predicting sleep behaviors and may serve as an efficacious framework for developing interventions.