












AIC(An Information Criterion or Akaike
Information Criterion)
A method developed by Akaike(1973,1974) to avoid overfittiong,
by penalizing the deviance by twice the number of free parameters.









Analysis Sample
Group used in estimating the discriminant function(s) or the
logistic regression model. When constructing classification
matrices, the original sample is divided randomly into two groups,
one for model estimation (the analysis sample) and the other
for validation (the holdout sample). 








Antiimage Correlation Matrix
Matrix of the partial correlations among variables after factor
analysis, representing the degree to which the factors ˇ°explainˇ±
each other in the results. The diagonal contains the measures
of sampling adequacy for each variable. And the offdiagonal
values are partial correlations among variables. 







