The Likelihood Ratio Test is a statistical method used to compare the goodness of fit between two competing models, typically a null model and an alternative model, by evaluating the ratio of their likelihoods. It is a powerful tool for hypothesis testing, especially in the context of nested models, where one model is a special case of the other.