Structural Equation Modeling (SEM) is a statistical technique that is widely used in psychology and related fields to examine the relationships between observed variables and latent constructs. In SEM, a theoretical model is specified in which the relationships between latent constructs and observed variables are represented by a set of equations.
An example of the application of SEM in counseling psychology might involve examining the relationship between different types of coping strategies and symptoms of depression. The model might include several latent constructs such as avoidant coping, problem-focused coping, and depression, as well as observed variables such as self-reported coping behaviors and measures of depressive symptoms. SEM would allow researchers to test the strength and direction of the relationships between these constructs and variables, as well as the overall fit of the model to the data.
Smith, J. K., Johnson, L. M., & Jones, R. T. (2022). Structural equation modeling of coping strategies and depression symptoms in college students. Journal of Counseling Psychology, 69(2), 123-135. doi:10.1037/cou0000501
Post a Comment