Hi Sadia,

there are different ways to conduct moderator analysis. If the modereator is categorial (e.g., sex), a multi-groups model in which you specify the model in each of the categories of the moderator is the ways to go. This allows testing  the invariance of essential measurement parameters (e.g., loadings). If you allow me a self-citation:

https://www.researchgate.net/publication/225468216_Testing_measurement_invariance_using_multigroup_CFA_differences_between_educational_groups_in_human_values_measurement

If the moderator is semi-continous, there are the so-called "constained approaches" and "unconstrained appraoches": Recently, Little et al. proposed the "residual centering approach" which in my point of view, is the most straightforward approach.

In our paper on interaction modeling we discuss all approaches and give a tutorial:

https://www.researchgate.net/publication/234055884_Three_Approaches_to_Estimate_Latent_Interaction_Effects_Intention_and_Perceived_Behavioral_Control_in_the_Theory_of_Planned_Behavior

HTH

Holger

Article Testing measurement invariance using multigroup CFA: Differe...

Article Three Approaches to Estimate Latent Interaction Effects: Int...

Hi, Marsh et al (2012) provide a good overview over the unconstrained approach, which you can easily implement in AMOS.

Marsh, H. W., Wen, Z., Nagengast, B., & Hau, K. T. (2012). Structural equation models of latent interaction. In R. H. Hoyle (Ed.), Handbook of structural equation modeling (pp. 436–458). New York, NY: Guilford Press.

Christoph

aoa. sadia please check this research article of Asyraf Afthanorhan ,

Moderate mediation using co variance based Structural Equation Modeling with Amos Graphic :Volunteerism Progress

Regards

Iacobucci D, Saldanha N, and Deng X (2007). A Meditation on Mediation: Evidence That Structural Equations Models Perform Better Than Regressions. JOURNAL OF CONSUMER PSYCHOLOGY, 17(2), 139–153