It is therefore important to test the model using different samples to further examine whether it has a reasonable correspondence to reality. “If a model is consistent with reality, then data should be consistent with the model. But, if the data are consistent with the model, this does not imply that the model corresponds to reality” (Bollen, 1989, p. 68). These perhaps are two important points one has to devote special attention to when dealing with model development.