If it is determined that a model does not fit the data, consideration should be given to retaining included paths and incorporating excluded paths.

Question

Quizplus · Accepted Answer

When a model does not fit the data well, it suggests that the model may not be accurately capturing the underlying relationships among variables. Retaining included paths that are supported by theory or prior research and incorporating excluded paths that might improve model fit can help in refining the model for better alignment with the data. This process involves re-evaluating the model structure based on statistical, theoretical, and practical considerations to enhance its explanatory power and predictive accuracy.

If It Is Determined That a Model Does Not Fit