Structural equation modeling involves:
A) quantifying how well data fit a specified theory.
B) using a single independent variable to predict multiple dependent variables.
C) using multiple independent variables to predict a single dependent variable.
D) determining the amount of error present in a regression.

Question

Quizplus · Accepted Answer

Structural equation modeling quantifies how well data fit a specified theory by testing relationships among multiple variables and assessing the fit of the model to the data. It is used to evaluate complex theoretical models that include latent variables (unobserved variables that can only be inferred from their manifest indicators) and to estimate the strength and direction of multiple causal relationships among a set of variables. B and C refer to regression analysis, while D is a general statistical concept that is not specific to any particular analysis technique.

Structural Equation Modeling Involves