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creativity-self-efficacy-mediation

Perform bootstrap-based SEM mediation analysis of creative self-efficacy in R with lavaan.

269|20|Updated Jun 13, 2026
Search Tags:#research#psychology#creativity#sem#mediation#lavaan
One-click install
npx skills add https://github.com/NeuroAIHub/BrainPilot --skill creativity-self-efficacy-mediation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: creativity-self-efficacy-mediation
Source: https://github.com/NeuroAIHub/BrainPilot/tree/main/packages/skills/skills/03_Cognitive_Psychology/creativity-self-efficacy-mediation
Command: npx skills add https://github.com/NeuroAIHub/BrainPilot --skill creativity-self-efficacy-mediation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires lavaan, emmeans, interactions, boot, and includes references (resource) components.

What problem does it solve?

This skill addresses the challenge of scientifically measuring how AI tools influence human creativity, specifically by identifying whether creative self-efficacy acts as a mediator and how baseline creativity moderates these outcomes.

Core Features & Use Cases

  • SEM-based Mediation Analysis: Provides a rigorous framework to test the causal chain between AI tool usage, self-efficacy, and creative output.
  • Moderation Analysis: Evaluates how baseline convergent thinking (via RAT) influences the effectiveness of AI assistance.
  • Use Case: A researcher investigating whether ChatGPT usage reduces creative output for high-creativity individuals can use this skill to specify, estimate, and interpret a moderated mediation model in R.

Quick Start

Use the creativity-self-efficacy-mediation skill to perform a bootstrap-based SEM analysis on your dataset to determine if creative self-efficacy mediates the impact of AI tools on creative performance.

Frequently Asked Questions about creativity-self-efficacy-mediation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I test creative self-efficacy as a mediator using structural equation modeling?▼

This skill performs bootstrap-based structural equation modeling using R and lavaan to evaluate creative self-efficacy as a mediator, analyzing the causal chain between AI tool usage and creative output.

Can I analyze moderation effects of baseline convergent thinking on AI-augmented creativity?▼

Yes, this skill evaluates how baseline convergent thinking measured via RAT scores moderates the effectiveness of AI assistance on creative output within experimental research designs.

Do I need the lavaan package in R to run bootstrap-based SEM mediation analysis?▼

Yes, this skill requires R with the lavaan package installed to execute bootstrap-based path analysis and specify the moderated mediation model for your dataset.

What's the best way to specify a moderated mediation model for AI tool usage and creative performance?▼

The best way is using this skill's SEM framework to specify, estimate, and interpret a moderated mediation model that simultaneously tests self-efficacy mediation and baseline convergent thinking moderation effects.

When should I use SEM path analysis instead of standard regression for creativity research?▼

Use SEM path analysis instead of standard regression when you need to simultaneously estimate mediation and moderation effects, as this skill provides a rigorous framework to test causal chains between AI tools, self-efficacy, and creative performance.

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