Creativity Self-Efficacy Mediation Analysis

You model AI-induced creativity shifts by specifying a lavaan-style SEM mediation model with creative self-efficacy as the mediator, using bootstrap confidence intervals to document indirect, direct, and interaction effects.

Include baseline creativity as a moderator by using a moderated mediation template with RAT scores, probing interaction effects via emmeans to reveal whether AI assistance impacts creators differently based on baseline ability.

Report effects by applying bootstrap CI recommendations to your lavaan SEM model specification, documenting indirect, direct, and interaction effects to explain AI tool use impacts on creativity without misinterpreting mediation claims.

Using RAT baseline creativity scores is recommended for moderated mediation because this measurement suits moderation analysis, ensuring manipulations capture the intended cognitive mechanism in AI-supported creativity experiments.

The Tierney and Farmer scale anchors creative self-efficacy measurement in SEM, providing theoretical justification and measurement timing guidance needed to correctly test mediator claims in AI-supported creativity experiments.

The Skill provides estimator and missing-data advice alongside bootstrap CI recommendations to ensure robust SEM mediation and moderation workflows around baseline creativity in cognitive psychology experiments.