Goodness of fit measures (advantages)
Goodness of fit measures have some obvious advantages in model development. First, they are quantitative indices which can be compared across models so that the best of a set of models can be selected. Secondly, there exist established statistical procedures for testing these measures for significance. Third, they can be used as a means of deducing new or modified models from a set of data. Fourth, they appear as output in canned computer programs, which is no small reason for their prominence in reported research results.