Factor Analysis of Tetrachoric Correlation Coefficients 1 LSAT6 Data (Bock & Lieberman, 1970) 1-Common Factor Model - ULS Estimation The FACTOR Procedure Initial Factor Method: Unweighted Least Squares Prior Communality Estimates: SMC v1 v2 v3 v4 v5 0.07185976 0.07644808 0.09895549 0.07327211 0.06527435 Preliminary Eigenvalues: Total = 0.38580979 Average = 0.07716196 Eigenvalue Difference Proportion Cumulative 1 0.69807036 0.62782497 1.8094 1.8094 2 0.07024539 0.11479403 0.1821 1.9914 3 -.04454864 0.10390205 -0.1155 1.8760 4 -.14845069 0.04105594 -0.3848 1.4912 5 -.18950663 -0.4912 1.0000 1 factor will be retained by the NFACTOR criterion. Iteration Criterion Ridge Change Communalities 1 0.0189735 0.0000 0.1302 0.13505 0.16857 0.22911 0.14175 0.10834 2 0.0189618 0.0000 0.0042 0.13921 0.16705 0.23215 0.13964 0.10673 3 0.0189616 0.0000 0.0004 0.13946 0.16707 0.23258 0.13945 0.10631 Convergence criterion satisfied. Factor Analysis of Tetrachoric Correlation Coefficients 2 LSAT6 Data (Bock & Lieberman, 1970) 1-Common Factor Model - ULS Estimation The FACTOR Procedure Initial Factor Method: Unweighted Least Squares Eigenvalues of the Reduced Correlation Matrix: Total = 0.7848699 Average = 0.15697398 Eigenvalue Difference Proportion Cumulative 1 0.78487003 0.64919933 1.0000 1.0000 2 0.13567070 0.09356764 0.1729 1.1729 3 0.04210306 0.09982723 0.0536 1.2265 4 -.05772417 0.06232556 -0.0735 1.1530 5 -.12004973 -0.1530 1.0000 Factor Pattern Factor1 v1 0.37348 v2 0.40874 v3 0.48229 v4 0.37340 v5 0.32602 Variance Explained by Each Factor Factor1 0.78487003 Factor Analysis of Tetrachoric Correlation Coefficients 3 LSAT6 Data (Bock & Lieberman, 1970) 1-Common Factor Model - ULS Estimation The FACTOR Procedure Initial Factor Method: Unweighted Least Squares Final Communality Estimates: Total = 0.784870 v1 v2 v3 v4 v5 0.13948493 0.16707140 0.23259916 0.13942645 0.10628809