This web-based application is designed to conduct Meta-Analytic Structural Equation Modeling (MASEM) within the context of tourism risk perception. It is built upon the research of Liu-Lastres, Yang, and Zhang (2024), which synthesized findings from 108 articles to identify the optimal model explaining the relationships between tourists’ risk perceptions and behavioral outcomes during a pandemic.

Key Features:

• Replication: Users can replicate the testing of the 8 competing models (Model 1–8) proposed in the original paper (and beyond).
• Flexibility: The tool allows users to hide/restore specific variables to test simplified models or focus on specific relationships.
• Model Comparison: Users can save multiple model configurations and compare their Goodness-of-Fit indices (e.g., AIC, BIC, CFI) in a consolidated table to identify the best-fitting model.
• Visualization: Provides an interactive path diagram with auto-layout features (separating perception variables from outcome variables).