DATE: 3/24/2004 TIME: 15:30 L I S R E L 8.54 BY Karl G. J”reskog & Dag S”rbom This program is published exclusively by Scientific Software International, Inc. 7383 N. Lincoln Avenue, Suite 100 Lincolnwood, IL 60712, U.S.A. Phone: (800)247-6113, (847)675-0720, Fax: (847)675-2140 Copyright by Scientific Software International, Inc., 1981-2002 Use of this program is subject to the terms specified in the Universal Copyright Convention. Website: www.ssicentral.com The following lines were read from file C:\lang\langdsm2.spl: ! DSM two-factor model: Model DSM2 LANGDSM2.SPL ! Natasja van Lang -- Current data Observed Variables SB1n SB2n SB3n SB4n CC1n CC2vn CC3vn CC4n SD1n SD2n SD3n SD4n Covariance Matrix from File c:\lang\langn1.cov Asymptotic Covariance Matrix from File c:\lang\langn1.acv Sample Size 255 Latent Variables sc st Paths sc -> SB1n SB2n SB3n SB4n CC1n CC2vn CC3vn CC4n st -> SD1n SD2n SD3n SD4n LISREL Output ME=ML RS PC MI SC ND=5 Path Diagram End of Problem ! DSM two-factor model: Model DSM2 LANGDSM2.SPL Covariance Matrix SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- SB1n 1.55280 SB2n 0.97189 7.48720 SB3n 1.29090 1.84770 3.58560 SB4n 1.38570 2.12480 2.21070 3.35510 CC1n 1.51920 2.32540 2.54920 2.38830 6.59370 CC2vn 0.58149 0.90486 1.04480 0.90752 0.84501 1.75950 CC3vn 0.31411 0.68851 0.29690 0.60661 0.27737 0.45198 CC4n 0.58252 4.21140 1.08870 1.13070 1.46310 0.67524 SD1n 0.33709 0.37893 0.33242 0.31064 0.28695 0.23600 SD2n 0.26543 0.55530 0.32297 0.38150 0.28144 0.38404 SD3n 0.35231 0.90727 0.55053 0.60854 0.40401 0.19558 SD4n 0.21723 0.73159 0.52409 0.53983 0.50069 0.24294 Covariance Matrix CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- CC3vn 2.32450 CC4n 0.39007 3.37080 SD1n 0.65339 0.17678 1.36910 SD2n 0.65339 0.33426 0.31633 1.17220 SD3n 0.51428 0.50618 0.38116 0.34494 1.39900 SD4n 0.34113 0.44141 0.35016 0.25567 0.22811 1.02550 ! DSM two-factor model: Model DSM2 LANGDSM2.SPL Parameter Specifications LAMBDA-X sc st -------- -------- SB1n 1 0 SB2n 2 0 SB3n 3 0 SB4n 4 0 CC1n 5 0 CC2vn 6 0 CC3vn 7 0 CC4n 8 0 SD1n 0 9 SD2n 0 10 SD3n 0 11 SD4n 0 12 PHI sc st -------- -------- sc 0 st 13 0 THETA-DELTA SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- 14 15 16 17 18 19 THETA-DELTA CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- 20 21 22 23 24 25 ! DSM two-factor model: Model DSM2 LANGDSM2.SPL Number of Iterations = 8 LISREL Estimates (Maximum Likelihood) LAMBDA-X sc st -------- -------- SB1n 0.86916 - - (0.06815) 12.75393 SB2n 1.56696 - - (0.18333) 8.54727 SB3n 1.43366 - - (0.09220) 15.55001 SB4n 1.47316 - - (0.08935) 16.48791 CC1n 1.60636 - - (0.14585) 11.01350 CC2vn 0.65635 - - (0.07826) 8.38696 CC3vn 0.40153 - - (0.11045) 3.63541 CC4n 0.95589 - - (0.12611) 7.58008 SD1n - - 0.57428 (0.08247) 6.96303 SD2n - - 0.52085 (0.07976) 6.53011 SD3n - - 0.61249 (0.09222) 6.64172 SD4n - - 0.52069 (0.07875) 6.61154 PHI sc st -------- -------- sc 1.00000 st 0.60745 1.00000 (0.07394) 8.21531 THETA-DELTA SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- 0.79737 5.03182 1.53023 1.18490 4.01332 1.32870 (0.09168) (0.42255) (0.19617) (0.15644) (0.38964) (0.10369) 8.69733 11.90836 7.80050 7.57428 10.30009 12.81470 THETA-DELTA CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- 2.16328 2.45707 1.03931 0.90091 1.02385 0.75438 (0.21677) (0.23612) (0.13244) (0.10729) (0.13100) (0.09285) 9.97971 10.40617 7.84758 8.39715 7.81579 8.12511 Squared Multiple Correlations for X - Variables SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- 0.48650 0.32794 0.57323 0.64684 0.39134 0.24484 Squared Multiple Correlations for X - Variables CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- 0.06936 0.27107 0.24088 0.23143 0.26816 0.26438 Goodness of Fit Statistics Degrees of Freedom = 53 Minimum Fit Function Chi-Square = 374.96998 (P = 0.0) Normal Theory Weighted Least Squares Chi-Square = 308.89812 (P = 0.0) Satorra-Bentler Scaled Chi-Square = 268.72993 (P = 0.0) Chi-Square Corrected for Non-Normality = 240.91517 (P = 0.0) Estimated Non-centrality Parameter (NCP) = 215.72993 90 Percent Confidence Interval for NCP = (168.24299 ; 270.74585) Minimum Fit Function Value = 1.47626 Population Discrepancy Function Value (F0) = 0.84933 90 Percent Confidence Interval for F0 = (0.66237 ; 1.06593) Root Mean Square Error of Approximation (RMSEA) = 0.12659 90 Percent Confidence Interval for RMSEA = (0.11179 ; 0.14182) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.00000 Expected Cross-Validation Index (ECVI) = 1.25484 90 Percent Confidence Interval for ECVI = (1.06789 ; 1.47144) ECVI for Saturated Model = 0.61417 ECVI for Independence Model = 6.27588 Chi-Square for Independence Model with 66 Degrees of Freedom = 1570.07431 Independence AIC = 1594.07431 Model AIC = 318.72993 Saturated AIC = 156.00000 Independence CAIC = 1648.56947 Model CAIC = 432.26152 Saturated CAIC = 510.21856 Normed Fit Index (NFI) = 0.82884 Non-Normed Fit Index (NNFI) = 0.82139 Parsimony Normed Fit Index (PNFI) = 0.66559 Comparative Fit Index (CFI) = 0.85657 Incremental Fit Index (IFI) = 0.85780 Relative Fit Index (RFI) = 0.78686 Critical N (CN) = 76.46731 Root Mean Square Residual (RMR) = 0.35266 Standardized RMR = 0.096994 Goodness of Fit Index (GFI) = 0.83147 Adjusted Goodness of Fit Index (AGFI) = 0.75197 Parsimony Goodness of Fit Index (PGFI) = 0.56497 ! DSM two-factor model: Model DSM2 LANGDSM2.SPL Fitted Covariance Matrix SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- SB1n 1.55280 SB2n 1.36194 7.48720 SB3n 1.24607 2.24649 3.58560 SB4n 1.28041 2.30839 2.11200 3.35510 CC1n 1.39618 2.51710 2.30296 2.36642 6.59370 CC2vn 0.57047 1.02848 0.94098 0.96691 1.05433 1.75950 CC3vn 0.34899 0.62918 0.57565 0.59151 0.64499 0.26354 CC4n 0.83082 1.49785 1.37042 1.40818 1.53550 0.62740 SD1n 0.30320 0.54663 0.50012 0.51390 0.56037 0.22896 SD2n 0.27499 0.49577 0.45360 0.46609 0.50824 0.20766 SD3n 0.32338 0.58300 0.53341 0.54810 0.59766 0.24420 SD4n 0.27491 0.49562 0.45346 0.46595 0.50808 0.20760 Fitted Covariance Matrix CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- CC3vn 2.32450 CC4n 0.38382 3.37080 SD1n 0.14007 0.33346 1.36910 SD2n 0.12704 0.30244 0.29911 1.17220 SD3n 0.14939 0.35565 0.35174 0.31902 1.39900 SD4n 0.12700 0.30234 0.29902 0.27120 0.31892 1.02550 Fitted Residuals SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- SB1n 0.00000 SB2n -0.39005 0.00000 SB3n 0.04483 -0.39879 0.00000 SB4n 0.10529 -0.18359 0.09870 0.00000 CC1n 0.12302 -0.19170 0.24624 0.02188 0.00000 CC2vn 0.01102 -0.12362 0.10382 -0.05939 -0.20932 0.00000 CC3vn -0.03488 0.05933 -0.27875 0.01510 -0.36762 0.18844 CC4n -0.24830 2.71355 -0.28172 -0.27748 -0.07240 0.04784 SD1n 0.03389 -0.16770 -0.16770 -0.20326 -0.27342 0.00704 SD2n -0.00956 0.05953 -0.13063 -0.08459 -0.22680 0.17638 SD3n 0.02893 0.32427 0.01712 0.06044 -0.19365 -0.04862 SD4n -0.05768 0.23597 0.07063 0.07388 -0.00739 0.03534 Fitted Residuals CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- CC3vn 0.00000 CC4n 0.00625 0.00000 SD1n 0.51332 -0.15668 0.00000 SD2n 0.52635 0.03182 0.01722 0.00000 SD3n 0.36489 0.15053 0.02942 0.02592 0.00000 SD4n 0.21413 0.13907 0.05114 -0.01553 -0.09081 0.00000 Summary Statistics for Fitted Residuals Smallest Fitted Residual = -0.39879 Median Fitted Residual = 0.00000 Largest Fitted Residual = 2.71355 Stemleaf Plot - 0|44433332222222222111111100000000000000000000000000000000 0|1111111111122222234 0|55 1| 1| 2| 2|7 Standardized Residuals SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- SB1n - - SB2n -3.39224 - - SB3n - - -2.51669 - - SB4n - - -1.41984 - - - - CC1n 2.12002 -0.71670 4.73458 0.33380 - - CC2vn 0.41542 -0.78766 - - - - -3.47338 - - CC3vn -0.34874 0.25598 -2.26499 0.22052 -2.81688 1.74253 CC4n -2.49501 8.67634 -2.75145 -2.95734 -0.32962 0.43400 SD1n 0.48989 -1.45295 -2.40337 -5.09013 -1.98820 0.09448 SD2n -0.16514 0.38293 -1.53563 -1.18470 -1.70766 2.33452 SD3n 0.43848 1.98132 0.17960 0.82667 -1.44311 -0.58187 SD4n -1.10181 1.57815 0.92716 1.17903 -0.06028 0.55976 Standardized Residuals CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- CC3vn 0.00000 CC4n 0.03980 0.00000 SD1n 4.64750 -1.82910 0.00000 SD2n 4.59098 0.28326 0.44637 0.00000 SD3n 3.19063 1.13281 0.49222 0.44663 0.00001 SD4n 2.31801 1.24994 1.13424 -0.70082 -1.69055 0.00002 Summary Statistics for Standardized Residuals Smallest Standardized Residual = -5.09013 Median Standardized Residual = 0.00000 Largest Standardized Residual = 8.67634 Stemleaf Plot - 4|1 - 2|5408855430 - 0|87755442187763321000000000000000000 0|12233344444455689112267 2|01332 4|667 6| 8|7 Largest Negative Standardized Residuals Residual for SB2n and SB1n -3.39224 Residual for CC2vn and CC1n -3.47338 Residual for CC3vn and CC1n -2.81688 Residual for CC4n and SB3n -2.75145 Residual for CC4n and SB4n -2.95734 Residual for SD1n and SB4n -5.09013 Largest Positive Standardized Residuals Residual for CC1n and SB3n 4.73458 Residual for CC4n and SB2n 8.67634 Residual for SD1n and CC3vn 4.64750 Residual for SD2n and CC3vn 4.59098 Residual for SD3n and CC3vn 3.19063 ! DSM two-factor model: Model DSM2 LANGDSM2.SPL Qplot of Standardized Residuals 3.5.......................................................................... . .. . . . . . . . . . . . . . . . . . . . . . . . x . . . . . x . . x . . x . . x x . N . . x x . o . . x x . r . . xx x . m . . x * . a . x x . l . x . . .** . Q . .xx . u . x* . a . x *.x . n . x* . . t . xx xx . . i . xxx . . l . xx x . . e . x x . . s . * . . . xx . . . x . . .x . . x . . . . . x . . . . . . . . . . . . . . . . . . . . . . . -3.5.......................................................................... -3.5 3.5 Standardized Residuals ! DSM two-factor model: Model DSM2 LANGDSM2.SPL Modification Indices and Expected Change Modification Indices for LAMBDA-X sc st -------- -------- SB1n - - 0.01402 SB2n - - 2.74699 SB3n - - 0.78355 SB4n - - 0.61250 CC1n - - 4.39588 CC2vn - - 0.91506 CC3vn - - 76.39107 CC4n - - 0.90485 SD1n 3.21573 - - SD2n 0.24655 - - SD3n 1.51843 - - SD4n 2.63983 - - Expected Change for LAMBDA-X sc st -------- -------- SB1n - - -0.01385 SB2n - - 0.53379 SB3n - - -0.12663 SB4n - - -0.11299 CC1n - - -0.50463 CC2vn - - 0.13859 CC3vn - - 1.99749 CC4n - - 0.21752 SD1n -0.20154 - - SD2n -0.05887 - - SD3n 0.18743 - - SD4n 0.21536 - - Standardized Expected Change for LAMBDA-X sc st -------- -------- SB1n - - -0.01385 SB2n - - 0.53379 SB3n - - -0.12663 SB4n - - -0.11299 CC1n - - -0.50463 CC2vn - - 0.13859 CC3vn - - 1.99749 CC4n - - 0.21752 SD1n -0.20154 - - SD2n -0.05887 - - SD3n 0.18743 - - SD4n 0.21536 - - Completely Standardized Expected Change for LAMBDA-X sc st -------- -------- SB1n - - -0.01111 SB2n - - 0.19508 SB3n - - -0.06687 SB4n - - -0.06168 CC1n - - -0.19652 CC2vn - - 0.10448 CC3vn - - 1.31014 CC4n - - 0.11848 SD1n -0.17224 - - SD2n -0.05438 - - SD3n 0.15846 - - SD4n 0.21267 - - No Non-Zero Modification Indices for PHI Modification Indices for THETA-DELTA SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- SB1n - - SB2n 12.98649 - - SB3n 0.81034 8.00226 - - SB4n 7.12151 2.46777 5.01721 - - CC1n 1.80848 0.57733 4.17614 0.04987 - - CC2vn 0.03826 0.67937 1.95005 0.91876 2.51501 - - CC3vn 0.21555 0.09058 7.75044 0.03278 4.46641 3.37246 CC4n 10.41652 183.85643 7.78886 10.97086 0.16370 0.20251 SD1n 3.46435 0.90864 0.62625 2.75484 0.60981 0.19740 SD2n 0.01159 0.05979 2.09567 0.90442 1.50061 7.08148 SD3n 0.00261 2.72823 0.01111 0.26019 2.06683 1.88298 SD4n 4.38923 1.31686 0.45887 0.51014 0.00360 0.01310 Modification Indices for THETA-DELTA CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- CC3vn - - CC4n 0.00202 - - SD1n 16.02620 1.63834 - - SD2n 19.44802 0.08561 0.15747 - - SD3n 3.09763 1.10664 0.41142 0.37313 - - SD4n 0.16182 1.15940 1.62394 0.16313 6.08262 - - Expected Change for THETA-DELTA SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- SB1n - - SB2n -0.52593 - - SB3n 0.08683 -0.60830 - - SB4n 0.25158 -0.31553 0.36288 - - CC1n 0.18520 -0.23944 0.41006 0.04267 - - CC2vn 0.01448 -0.14466 0.15036 -0.09589 -0.25224 - - CC3vn -0.04197 0.06543 -0.36236 0.02191 -0.41528 0.20253 CC4n -0.32359 3.29799 -0.40926 -0.45318 -0.08778 0.05441 SD1n 0.12225 -0.15095 -0.07442 -0.14430 -0.11189 0.03571 SD2n 0.00655 0.03593 -0.12650 -0.07673 -0.16275 0.19849 SD3n 0.00337 0.26269 -0.00999 0.04467 -0.20664 -0.11057 SD4n -0.11857 0.15639 0.05510 0.05372 0.00740 -0.00791 Expected Change for THETA-DELTA CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- CC3vn - - CC4n 0.00675 - - SD1n 0.40245 -0.14033 - - SD2n 0.41146 0.02977 0.03371 - - SD3n 0.17738 0.11578 0.05859 0.05228 - - SD4n 0.03475 0.10155 0.09802 -0.02810 -0.20368 - - Completely Standardized Expected Change for THETA-DELTA SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- SB1n - - SB2n -0.15424 - - SB3n 0.03680 -0.11740 - - SB4n 0.11022 -0.06295 0.10462 - - CC1n 0.05788 -0.03408 0.08433 0.00907 - - CC2vn 0.00876 -0.03986 0.05986 -0.03947 -0.07406 - - CC3vn -0.02209 0.01568 -0.12552 0.00785 -0.10607 0.10014 CC4n -0.14144 0.65648 -0.11772 -0.13476 -0.01862 0.02234 SD1n 0.08384 -0.04715 -0.03359 -0.06733 -0.03724 0.02301 SD2n 0.00486 0.01213 -0.06170 -0.03869 -0.05854 0.13821 SD3n 0.00228 0.08117 -0.00446 0.02062 -0.06804 -0.07047 SD4n -0.09396 0.05644 0.02873 0.02896 0.00285 -0.00589 Completely Standardized Expected Change for THETA-DELTA CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- CC3vn - - CC4n 0.00241 - - SD1n 0.22559 -0.06532 - - SD2n 0.24927 0.01497 0.02661 - - SD3n 0.09836 0.05331 0.04233 0.04082 - - SD4n 0.02251 0.05462 0.08272 -0.02563 -0.17005 - - Maximum Modification Index is 183.86 for Element ( 8, 2) of THETA-DELTA Covariance Matrix of Parameter Estimates LX 1,1 LX 2,1 LX 3,1 LX 4,1 LX 5,1 LX 6,1 -------- -------- -------- -------- -------- -------- LX 1,1 0.00464 LX 2,1 0.00003 0.03361 LX 3,1 0.00075 0.00307 0.00850 LX 4,1 0.00162 0.00244 0.00315 0.00798 LX 5,1 0.00194 0.00183 0.00325 0.00305 0.02127 LX 6,1 0.00011 0.00132 -0.00001 -0.00120 -0.00206 0.00612 LX 7,1 0.00009 0.00134 -0.00103 -0.00170 -0.00448 0.00300 LX 8,1 0.00010 0.01991 0.00137 0.00133 0.00134 0.00083 LX 9,2 0.00031 -0.00103 -0.00138 -0.00118 -0.00045 0.00051 LX 10,2 -0.00021 -0.00067 -0.00024 -0.00111 -0.00238 0.00157 LX 11,2 -0.00042 0.00418 0.00073 0.00051 -0.00085 -0.00045 LX 12,2 0.00029 0.00238 0.00126 0.00089 0.00168 -0.00062 PH 2,1 0.00055 0.00115 0.00007 -0.00014 -0.00095 0.00062 TD 1,1 -0.00256 0.00277 -0.00055 0.00035 -0.00085 -0.00013 TD 2,2 -0.00018 -0.01378 0.00658 0.00597 0.00628 -0.00194 TD 3,3 0.00144 -0.00272 -0.00924 -0.00144 -0.00060 0.00011 TD 4,4 0.00135 0.00025 -0.00013 -0.00396 0.00298 -0.00014 TD 5,5 -0.00140 0.00300 0.00224 -0.00122 -0.02241 0.00029 TD 6,6 -0.00006 0.00078 0.00045 0.00159 0.00076 -0.00391 TD 7,7 0.00283 0.00291 0.00141 0.00178 -0.00295 0.00041 TD 8,8 0.00001 -0.00296 0.00157 0.00248 0.00464 0.00045 TD 9,9 -0.00096 -0.00099 0.00100 0.00022 -0.00131 -0.00139 TD 10,10 -0.00008 0.00142 0.00008 0.00104 0.00159 -0.00099 TD 11,11 0.00008 -0.00414 -0.00005 0.00026 0.00035 0.00025 TD 12,12 -0.00010 -0.00013 -0.00036 -0.00028 -0.00108 0.00021 Covariance Matrix of Parameter Estimates LX 7,1 LX 8,1 LX 9,2 LX 10,2 LX 11,2 LX 12,2 -------- -------- -------- -------- -------- -------- LX 7,1 0.01220 LX 8,1 0.00087 0.01590 LX 9,2 0.00189 -0.00092 0.00680 LX 10,2 0.00298 -0.00064 0.00042 0.00636 LX 11,2 -0.00011 0.00188 -0.00031 0.00083 0.00850 LX 12,2 -0.00078 0.00149 -0.00074 -0.00082 0.00051 0.00620 PH 2,1 0.00183 0.00075 -0.00161 -0.00070 -0.00027 -0.00031 TD 1,1 -0.00035 0.00198 -0.00008 0.00034 0.00132 -0.00062 TD 2,2 -0.00487 -0.00920 -0.00349 -0.00001 -0.00213 0.00143 TD 3,3 0.00110 -0.00111 0.00069 0.00007 -0.00099 -0.00061 TD 4,4 -0.00114 -0.00045 -0.00065 -0.00040 -0.00054 0.00020 TD 5,5 0.00251 0.00182 -0.00058 0.00184 0.00163 -0.00015 TD 6,6 -0.00279 0.00058 -0.00128 -0.00064 0.00113 0.00039 TD 7,7 0.00663 0.00110 0.00167 0.00233 0.00286 -0.00136 TD 8,8 -0.00193 0.00016 -0.00132 0.00026 -0.00097 0.00164 TD 9,9 -0.00104 -0.00102 -0.00475 -0.00051 0.00046 0.00116 TD 10,10 -0.00183 0.00018 -0.00057 -0.00257 0.00056 0.00068 TD 11,11 -0.00044 -0.00171 0.00166 -0.00061 -0.00427 -0.00021 TD 12,12 -0.00003 0.00013 0.00142 0.00032 0.00116 -0.00332 Covariance Matrix of Parameter Estimates PH 2,1 TD 1,1 TD 2,2 TD 3,3 TD 4,4 TD 5,5 -------- -------- -------- -------- -------- -------- PH 2,1 0.00547 TD 1,1 -0.00062 0.00841 TD 2,2 -0.00036 0.00439 0.17854 TD 3,3 -0.00007 -0.00030 0.00109 0.03848 TD 4,4 -0.00050 0.00007 0.00163 -0.00054 0.02447 TD 5,5 0.00006 0.00579 0.00761 0.00009 0.00441 0.15182 TD 6,6 -0.00060 0.00018 0.00438 0.00039 -0.00141 -0.00043 TD 7,7 0.00082 0.00055 0.01019 0.00448 0.00050 0.00829 TD 8,8 -0.00130 0.00404 0.04284 0.00274 0.00106 0.00802 TD 9,9 0.00077 0.00245 0.00025 -0.00141 0.00009 0.00617 TD 10,10 0.00030 0.00036 0.00192 0.00135 0.00111 0.00186 TD 11,11 0.00013 0.00018 0.00544 0.00184 -0.00071 -0.00033 TD 12,12 -0.00071 0.00041 -0.00215 -0.00057 -0.00115 -0.00012 Covariance Matrix of Parameter Estimates TD 6,6 TD 7,7 TD 8,8 TD 9,9 TD 10,10 TD 11,11 -------- -------- -------- -------- -------- -------- TD 6,6 0.01075 TD 7,7 0.00085 0.04699 TD 8,8 0.00056 0.00482 0.05575 TD 9,9 0.00186 0.00064 0.00105 0.01754 TD 10,10 0.00055 0.00241 0.00342 0.00083 0.01151 TD 11,11 -0.00024 0.00063 0.00690 0.00044 0.00121 0.01716 TD 12,12 -0.00032 0.00341 -0.00047 -0.00069 -0.00054 0.00017 Covariance Matrix of Parameter Estimates TD 12,12 -------- TD 12,12 0.00862 ! DSM two-factor model: Model DSM2 LANGDSM2.SPL Correlation Matrix of Parameter Estimates LX 1,1 LX 2,1 LX 3,1 LX 4,1 LX 5,1 LX 6,1 -------- -------- -------- -------- -------- -------- LX 1,1 1.00000 LX 2,1 0.00200 1.00000 LX 3,1 0.11909 0.18138 1.00000 LX 4,1 0.26552 0.14919 0.38300 1.00000 LX 5,1 0.19552 0.06839 0.24191 0.23390 1.00000 LX 6,1 0.01994 0.09235 -0.00178 -0.17125 -0.18085 1.00000 LX 7,1 0.01226 0.06595 -0.10083 -0.17226 -0.27788 0.34659 LX 8,1 0.01215 0.86125 0.11784 0.11771 0.07276 0.08389 LX 9,2 0.05430 -0.06819 -0.18207 -0.16012 -0.03773 0.07951 LX 10,2 -0.03861 -0.04569 -0.03257 -0.15538 -0.20450 0.25197 LX 11,2 -0.06638 0.24720 0.08592 0.06213 -0.06299 -0.06270 LX 12,2 0.05424 0.16461 0.17376 0.12589 0.14616 -0.10122 PH 2,1 0.10862 0.08519 0.01041 -0.02054 -0.08849 0.10782 TD 1,1 -0.41005 0.16457 -0.06464 0.04266 -0.06385 -0.01777 TD 2,2 -0.00638 -0.17786 0.16883 0.15804 0.10184 -0.05853 TD 3,3 0.10737 -0.07554 -0.51103 -0.08236 -0.02095 0.00687 TD 4,4 0.12632 0.00876 -0.00925 -0.28297 0.13071 -0.01169 TD 5,5 -0.05254 0.04207 0.06231 -0.03506 -0.39442 0.00948 TD 6,6 -0.00834 0.04127 0.04728 0.17183 0.05006 -0.48208 TD 7,7 0.19153 0.07318 0.07053 0.09171 -0.09338 0.02418 TD 8,8 0.00079 -0.06846 0.07197 0.11770 0.13486 0.02433 TD 9,9 -0.10629 -0.04089 0.08163 0.01817 -0.06762 -0.13443 TD 10,10 -0.01054 0.07199 0.00838 0.10869 0.10167 -0.11842 TD 11,11 0.00910 -0.17246 -0.00402 0.02234 0.01840 0.02423 TD 12,12 -0.01529 -0.00760 -0.04212 -0.03388 -0.07992 0.02889 Correlation Matrix of Parameter Estimates LX 7,1 LX 8,1 LX 9,2 LX 10,2 LX 11,2 LX 12,2 -------- -------- -------- -------- -------- -------- LX 7,1 1.00000 LX 8,1 0.06247 1.00000 LX 9,2 0.20786 -0.08839 1.00000 LX 10,2 0.33882 -0.06373 0.06446 1.00000 LX 11,2 -0.01055 0.16189 -0.04053 0.11313 1.00000 LX 12,2 -0.08986 0.14979 -0.11370 -0.13131 0.07020 1.00000 PH 2,1 0.22427 0.08065 -0.26473 -0.11889 -0.03991 -0.05311 TD 1,1 -0.03413 0.17131 -0.01053 0.04676 0.15565 -0.08531 TD 2,2 -0.10444 -0.17257 -0.10003 -0.00038 -0.05467 0.04286 TD 3,3 0.05098 -0.04501 0.04274 0.00449 -0.05463 -0.03959 TD 4,4 -0.06582 -0.02286 -0.05071 -0.03193 -0.03727 0.01597 TD 5,5 0.05822 0.03703 -0.01798 0.05913 0.04548 -0.00483 TD 6,6 -0.24329 0.04443 -0.14935 -0.07778 0.11847 0.04834 TD 7,7 0.27688 0.04020 0.09369 0.13462 0.14292 -0.07973 TD 8,8 -0.07399 0.00535 -0.06798 0.01404 -0.04455 0.08814 TD 9,9 -0.07137 -0.06129 -0.43465 -0.04853 0.03753 0.11095 TD 10,10 -0.15416 0.01315 -0.06461 -0.30047 0.05687 0.08092 TD 11,11 -0.03026 -0.10330 0.15386 -0.05879 -0.35360 -0.02049 TD 12,12 -0.00274 0.01136 0.18556 0.04305 0.13579 -0.45386 Correlation Matrix of Parameter Estimates PH 2,1 TD 1,1 TD 2,2 TD 3,3 TD 4,4 TD 5,5 -------- -------- -------- -------- -------- -------- PH 2,1 1.00000 TD 1,1 -0.09114 1.00000 TD 2,2 -0.01168 0.11331 1.00000 TD 3,3 -0.00463 -0.01654 0.01321 1.00000 TD 4,4 -0.04299 0.00500 0.02460 -0.01762 1.00000 TD 5,5 0.00205 0.16221 0.04619 0.00120 0.07241 1.00000 TD 6,6 -0.07806 0.01844 0.10004 0.01931 -0.08696 -0.01055 TD 7,7 0.05137 0.02787 0.11121 0.10535 0.01463 0.09815 TD 8,8 -0.07425 0.18667 0.42939 0.05911 0.02866 0.08718 TD 9,9 0.07834 0.20199 0.00444 -0.05437 0.00457 0.11961 TD 10,10 0.03740 0.03642 0.04238 0.06435 0.06641 0.04439 TD 11,11 0.01388 0.01539 0.09820 0.07159 -0.03487 -0.00644 TD 12,12 -0.10402 0.04792 -0.05478 -0.03115 -0.07934 -0.00331 Correlation Matrix of Parameter Estimates TD 6,6 TD 7,7 TD 8,8 TD 9,9 TD 10,10 TD 11,11 -------- -------- -------- -------- -------- -------- TD 6,6 1.00000 TD 7,7 0.03785 1.00000 TD 8,8 0.02270 0.09418 1.00000 TD 9,9 0.13526 0.02245 0.03361 1.00000 TD 10,10 0.04944 0.10360 0.13496 0.05825 1.00000 TD 11,11 -0.01765 0.02209 0.22315 0.02511 0.08582 1.00000 TD 12,12 -0.03283 0.16942 -0.02133 -0.05642 -0.05417 0.01438 Correlation Matrix of Parameter Estimates TD 12,12 -------- TD 12,12 1.00000 ! DSM two-factor model: Model DSM2 LANGDSM2.SPL Standardized Solution LAMBDA-X sc st -------- -------- SB1n 0.86916 - - SB2n 1.56696 - - SB3n 1.43366 - - SB4n 1.47316 - - CC1n 1.60636 - - CC2vn 0.65635 - - CC3vn 0.40153 - - CC4n 0.95589 - - SD1n - - 0.57428 SD2n - - 0.52085 SD3n - - 0.61249 SD4n - - 0.52069 PHI sc st -------- -------- sc 1.00000 st 0.60745 1.00000 ! DSM two-factor model: Model DSM2 LANGDSM2.SPL Completely Standardized Solution LAMBDA-X sc st -------- -------- SB1n 0.69749 - - SB2n 0.57266 - - SB3n 0.75712 - - SB4n 0.80426 - - CC1n 0.62557 - - CC2vn 0.49481 - - CC3vn 0.26336 - - CC4n 0.52065 - - SD1n - - 0.49080 SD2n - - 0.48108 SD3n - - 0.51784 SD4n - - 0.51418 PHI sc st -------- -------- sc 1.00000 st 0.60745 1.00000 THETA-DELTA SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- 0.51350 0.67206 0.42677 0.35316 0.60866 0.75516 THETA-DELTA CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- 0.93064 0.72893 0.75912 0.76857 0.73184 0.73562 Time used: 6.539 Seconds