Identification and Underidentification
To estimate the parameters of a model, the model must be properly identified. That is, the number of estimated (unknown) parameters (q) must be less than or equal to the number of unique variances and covariances among the measured variables; p(p + 1)/2. This equation is known as the “t rule”. If there is too little information available on which to base the parameter estimates, then the model is said to be underidentified, and model parameters cannot be estimated appropriately.
Read more about this topic: Confirmatory Factor Analysis
Famous quotes containing the words identification and:
“Introspection is self-improvement and therefore introspection is self-centeredness. Awareness is not self-improvement. On the contrary, it is the ending of the self, of the “I,” with all its peculiar idiosyncrasies, memories, demands, and pursuits. In introspection there is identification and condemnation. In awareness there is no condemnation or identification; therefore, there is no self-improvement. There is a vast difference between the two.”
—Jiddu Krishnamurti (b. 1895)