Variable system: An alternative approach for the analysis of mediated moderation

Area of Science:

• Social Sciences
• Psychology
• Statistics

Background:

• Mediated moderation (meMO) describes moderation effects transmitted through a mediator.
• Existing meMO model specifications (Type I, Type II) face conceptual and statistical challenges.
• meMO models are often statistically equivalent to moderated mediation (moME) models, hindering differentiation.

Purpose of the Study:

• To differentiate meMO from moME by proposing a novel, statistically unique meMO specification.
• To develop an integrated structural equation modeling approach for analyzing meMO and other conditional path models.
• To provide practical tools for researchers analyzing complex mediation and moderation processes.

Main Methods:

• Proposed an alternative, conceptually meaningful, and statistically distinct specification for meMO.
• Developed an integrated structural equation modeling framework for conditional path analysis.
• Created VS, a software program to implement the proposed analytical approach.

Main Results:

• The new meMO specification offers a unique statistical representation, differentiating it from moME.
• The integrated approach and VS software facilitate the analysis of meMO and general conditional path models.
• Illustrative examples demonstrate the practical application and comparative performance against traditional methods.

Conclusions:

• The study successfully differentiates meMO from moME through a novel specification.
• An integrated analytical framework and software (VS) are provided for applied researchers.
• This work enhances the understanding and empirical analysis of complex mediation and moderation processes.