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).
 
 
     
 
  Anti-image 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 off-diagonal values are partial correlations among variables.