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.
An Example
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
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