Automated specification search for composite-based structural equation modeling: A genetic approach

Key Points

• Automated specification search enhances composite-based structural equation modeling, leading to more accurate results.
• Key findings indicate a notable improvement in model fit indices, achieving near 0.95 for comparative fit.
• Analysis leverages a genetic approach to identify optimal specifications in model evaluation across diverse datasets.
• Implications highlight the need for automated tools in structural equation modeling to streamline the modeling process.