Goodness-of-Fit Index

The Goodness-of-Fit Index (GFI) is a statistical measure used to assess how well a model, such as a theoretical framework or data pattern, matches the actual observed data. Think of it as a score indicating the accuracy of a model’s predictions: higher scores mean the model fits the data well, while lower scores suggest discrepancies. It helps researchers determine if their model reliably represents real-world data, guiding decisions on whether to accept, modify, or reject the theoretical structure. In essence, GFI is a way to quantify the agreement between a proposed model and the data collected.