Model fit indices are statistical measures used to assess how well a proposed model represents the data it is intended to explain, often used in structural equation modeling and other multivariate analyses. They help researchers determine the adequacy of their models and guide modifications to improve model fit, ensuring the model's validity and reliability in representing underlying theoretical constructs.