SEM models are estimated so as to:
A) maximize the likelihood function.
B) A and C
C) minimize the sum of squares between constructs.
D) minimize the difference between the observed and estimated covariance matrices.
E) minimize the least squared difference.

Question

Quizplus · Accepted Answer

SEM models are estimated using maximum likelihood estimation and the goal is to minimize the difference between the observed covariance matrix and the estimated covariance matrix based on the specified model. Therefore, option D is the correct choice. Option A is partially correct as it mentions maximizing the likelihood function, which is a step in the estimation process, but not the ultimate goal of the SEM model. Options B, C, and E are incorrect as they do not accurately reflect the estimation process of SEM models.

SEM Models Are Estimated So as To