forum.smartpls.com

Longitudinal mediation is superior to traditional mediation methods as longitudinal analyses allow researchers to examine how developmental processes unfold over time. The ability to model change as it occurs is important because it allows researchers to evaluate whether an effect, or outcome, is dependent upon the amount of time elapsed, and allows researchers to describe the temporal order of effects. Recent quantitative developments offer several possible longitudinal mediation models, including: latent growth curve mediation, cross-lagged panel mediation and latent difference score mediation.

To know more, please visit: https://www.youtube.com/watch?v=Dxmz6Or5X7M

To see example of Latent Difference Score Mediation Model in AMOS, please visit: https://www.youtube.com/watch?v=b9lU_p5Q93Y