Skip to main content
Fig. 2 | Cognitive Research: Principles and Implications

Fig. 2

From: Individual differences in naturally occurring affect predict conceptual breadth: evidence for the importance of arousal by valence interactions

Fig. 2

Results from the structural equation model predicting the latent cognitive breadth factor using affect valence, arousal, and their interaction. Note. The large oval represents the latent conceptual breadth factor; small ovals represent residual error variances (“e”) or the regression residual (disturbance, “D”). Rectangles are measured variables. Flexibility = Alternative Uses Task; Categorization = Object Categorization Task; RAT = Remote Associates Test. Standardized parameters are shown, along 95% confidence intervals and p values

Back to article page