GRM Whole Model - Limitations of Whole Models

For designs such as one-way ANOVA or simple regression designs, the whole model test by itself may be sufficient for testing general hypotheses about whether or not the single predictor variable is related to the outcome. In complex designs, however, finding a statistically significant test of whole model fit is often just the first step in the analysis; one then seeks to identify simpler submodels that fit the data equally well (see Basic ideas: The Need for Simple Models). It is to this task, the search for submodels that fit the data well, that stepwise and best-subset regression are devoted.

Topics on Building the Whole Model

See also GRM - Index.