DATE: 7/15/2003 TIME: 14:10 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\langnm2.spl: Model B2 -- Alternative three-factor model -- 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 pl Paths sc -> SB1n SB3n SB4n CC1n CC2vn st -> CC3vn SD1n SD2n SD3n SD4n pl -> SB2n CC4n LISREL Output ME=ML RS PC PT MI SC ND=5 Path diagram End of Problem Model B2 -- Alternative three-factor model -- Natasja van Lang -- Current data 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 Model B2 -- Alternative three-factor model -- Natasja van Lang -- Current data Parameter Specifications LAMBDA-X sc st pl -------- -------- -------- SB1n 1 0 0 SB2n 0 0 2 SB3n 3 0 0 SB4n 4 0 0 CC1n 5 0 0 CC2vn 6 0 0 CC3vn 0 7 0 CC4n 0 0 8 SD1n 0 9 0 SD2n 0 10 0 SD3n 0 11 0 SD4n 0 12 0 PHI sc st pl -------- -------- -------- sc 0 st 13 0 pl 14 15 0 THETA-DELTA SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- 16 17 18 19 20 21 THETA-DELTA CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- 22 23 24 25 26 27 Model B2 -- Alternative three-factor model -- Natasja van Lang -- Current data Initial Estimates (TSLS) LAMBDA-X sc st pl -------- -------- -------- SB1n 0.94775 - - - - SB2n - - - - 2.68492 SB3n 1.48010 - - - - SB4n 1.49329 - - - - CC1n 1.60479 - - - - CC2vn 0.64701 - - - - CC3vn - - 1.02470 - - CC4n - - - - 1.56854 SD1n - - 0.57002 - - SD2n - - 0.59532 - - SD3n - - 0.56221 - - SD4n - - 0.45539 - - PHI sc st pl -------- -------- -------- sc 1.00000 st 0.40316 1.00000 pl 0.50184 0.34361 1.00000 THETA-DELTA SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- 0.65457 0.27843 1.39491 1.12517 4.01834 1.34088 THETA-DELTA CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- 1.27449 0.91048 1.04418 0.81779 1.08292 0.81812 Behavior under Minimization Iterations Iter Try Abscissa Slope Function 1 0 0.00000000D+00 -0.23670171D-01 0.16095666D+00 1 0.10000000D+01 0.24894428D-02 0.15041079D+00 2 0.90483641D+00 0.22318259D-04 0.15029124D+00 2 0 0.00000000D+00 -0.95631612D-03 0.15029124D+00 1 0.90483641D+00 -0.19369877D-03 0.14977006D+00 2 0.18096728D+01 0.58128486D-03 0.14994443D+00 3 0.11309905D+01 -0.12010584D-05 0.14974800D+00 3 0 0.00000000D+00 -0.37657215D-04 0.14974800D+00 1 0.11309905D+01 0.13126093D-05 0.14972745D+00 4 0 0.00000000D+00 -0.88417337D-06 0.14972745D+00 1 0.11309905D+01 0.15435086D-06 0.14972703D+00 2 0.96289680D+00 -0.20624434D-10 0.14972702D+00 5 0 0.00000000D+00 -0.16931257D-07 0.14972702D+00 1 0.96289680D+00 -0.33052089D-09 0.14972701D+00 6 0 0.00000000D+00 -0.27117650D-09 0.14972701D+00 1 0.96289680D+00 0.65304454D-12 0.14972701D+00 Model B2 -- Alternative three-factor model -- Natasja van Lang -- Current data Number of Iterations = 6 LISREL Estimates (Maximum Likelihood) LAMBDA-X sc st pl -------- -------- -------- SB1n 0.89844 - - - - (0.06516) 13.78888 SB2n - - - - 2.69718 (0.14803) 18.22019 SB3n 1.47595 - - - - (0.09207) 16.03004 SB4n 1.50910 - - - - (0.09175) 16.44868 CC1n 1.62788 - - - - (0.14554) 11.18544 CC2vn 0.64375 - - - - (0.07880) 8.16931 CC3vn - - 0.90730 - - (0.12192) 7.44160 CC4n - - - - 1.56141 (0.11274) 13.84913 SD1n - - 0.62537 - - (0.07556) 8.27647 SD2n - - 0.59262 - - (0.07376) 8.03458 SD3n - - 0.60554 - - (0.08403) 7.20609 SD4n - - 0.47274 - - (0.07484) 6.31654 PHI sc st pl -------- -------- -------- sc 1.00000 st 0.47558 1.00000 (0.06812) 6.98100 pl 0.48454 0.37259 1.00000 (0.05992) (0.07063) 8.08640 5.27493 THETA-DELTA SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- 0.74561 0.21240 1.40717 1.07771 3.94372 1.34509 (0.08980) (0.53705) (0.19048) (0.15258) (0.39375) (0.10446) 8.30351 0.39550 7.38745 7.06329 10.01567 12.87698 THETA-DELTA CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- 1.50131 0.93281 0.97801 0.82101 1.03232 0.80202 (0.19176) (0.18614) (0.12607) (0.09987) (0.12607) (0.08752) 7.82913 5.01130 7.75763 8.22036 8.18838 9.16391 Squared Multiple Correlations for X - Variables SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- 0.51983 0.97163 0.60755 0.67878 0.40190 0.23553 Squared Multiple Correlations for X - Variables CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- 0.35414 0.72327 0.28565 0.29960 0.26210 0.21792 Goodness of Fit Statistics Degrees of Freedom = 51 Minimum Fit Function Chi-Square = 76.06132 (P = 0.013004) Normal Theory Weighted Least Squares Chi-Square = 74.20126 (P = 0.018607) Satorra-Bentler Scaled Chi-Square = 65.58573 (P = 0.082210) Chi-Square Corrected for Non-Normality = 90.56465 (P = 0.00054041) Estimated Non-centrality Parameter (NCP) = 14.58573 90 Percent Confidence Interval for NCP = (0.0 ; 39.55535) Minimum Fit Function Value = 0.29945 Population Discrepancy Function Value (F0) = 0.057424 90 Percent Confidence Interval for F0 = (0.0 ; 0.15573) Root Mean Square Error of Approximation (RMSEA) = 0.033555 90 Percent Confidence Interval for RMSEA = (0.0 ; 0.055259) P-Value for Test of Close Fit (RMSEA < 0.05) = 0.88473 Expected Cross-Validation Index (ECVI) = 0.47081 90 Percent Confidence Interval for ECVI = (0.41339 ; 0.56912) 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 = 119.58573 Saturated AIC = 156.00000 Independence CAIC = 1648.56947 Model CAIC = 242.19984 Saturated CAIC = 510.21856 Normed Fit Index (NFI) = 0.95156 Non-Normed Fit Index (NNFI) = 0.97844 Parsimony Normed Fit Index (PNFI) = 0.73529 Comparative Fit Index (CFI) = 0.98334 Incremental Fit Index (IFI) = 0.98350 Relative Fit Index (RFI) = 0.93731 Critical N (CN) = 259.44003 Root Mean Square Residual (RMR) = 0.13258 Standardized RMR = 0.051885 Goodness of Fit Index (GFI) = 0.95357 Adjusted Goodness of Fit Index (AGFI) = 0.92899 Parsimony Goodness of Fit Index (PGFI) = 0.62349 Model B2 -- Alternative three-factor model -- Natasja van Lang -- Current data Fitted Covariance Matrix SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- SB1n 1.55280 SB2n 1.17416 7.48720 SB3n 1.32605 1.92890 3.58560 SB4n 1.35583 1.97223 2.22736 3.35510 CC1n 1.46254 2.12745 2.40266 2.45663 6.59370 CC2vn 0.57837 0.84131 0.95014 0.97148 1.04794 1.75950 CC3vn 0.38767 0.91177 0.63686 0.65117 0.70242 0.27777 CC4n 0.67972 4.21140 1.11665 1.14173 1.23159 0.48703 SD1n 0.26721 0.62846 0.43897 0.44883 0.48415 0.19146 SD2n 0.25321 0.59554 0.41598 0.42532 0.45879 0.18143 SD3n 0.25873 0.60853 0.42505 0.43459 0.46880 0.18539 SD4n 0.20199 0.47507 0.33183 0.33928 0.36599 0.14473 Fitted Covariance Matrix CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- CC3vn 2.32450 CC4n 0.52783 3.37080 SD1n 0.56740 0.36382 1.36910 SD2n 0.53768 0.34476 0.37061 1.17220 SD3n 0.54940 0.35228 0.37869 0.35885 1.39900 SD4n 0.42891 0.27502 0.29564 0.28015 0.28626 1.02550 Fitted Residuals SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- SB1n 0.00000 SB2n -0.20227 0.00000 SB3n -0.03515 -0.08120 0.00000 SB4n 0.02987 0.15257 -0.01666 0.00000 CC1n 0.05666 0.19795 0.14654 -0.06833 0.00000 CC2vn 0.00312 0.06355 0.09466 -0.06396 -0.20293 0.00000 CC3vn -0.07356 -0.22326 -0.33996 -0.04456 -0.42505 0.17421 CC4n -0.09720 0.00000 -0.02795 -0.01103 0.23151 0.18821 SD1n 0.06988 -0.24953 -0.10655 -0.13819 -0.19720 0.04454 SD2n 0.01222 -0.04024 -0.09301 -0.04382 -0.17735 0.20261 SD3n 0.09358 0.29874 0.12548 0.17395 -0.06479 0.01019 SD4n 0.01524 0.25652 0.19226 0.20055 0.13470 0.09821 Fitted Residuals CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- CC3vn 0.00000 CC4n -0.13776 0.00000 SD1n 0.08599 -0.18704 0.00000 SD2n 0.11571 -0.01050 -0.05428 0.00000 SD3n -0.03512 0.15390 0.00247 -0.01391 0.00000 SD4n -0.08778 0.16639 0.05452 -0.02448 -0.05815 0.00000 Summary Statistics for Fitted Residuals Smallest Fitted Residual = -0.42505 Median Fitted Residual = 0.00000 Largest Fitted Residual = 0.29874 Stemleaf Plot - 4|3 - 3|4 - 2|52000 - 1|984410 - 0|99877666544444322111000000000000000 0|112345667999 1|023355577799 2|00036 3|0 Standardized Residuals SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- SB1n - - SB2n -1.59637 - - SB3n - - -0.45972 - - SB4n - - 1.01764 - - - - CC1n 1.57182 0.66305 - - -11.25630 - - CC2vn 0.16166 0.36264 - - - - -3.46914 - - CC3vn -0.67458 -1.15100 -2.37542 -0.43380 -2.73764 1.52786 CC4n -0.90541 - - -0.23490 -0.09921 0.96671 1.53172 SD1n 0.94339 -3.56417 -1.29709 -2.30220 -1.33232 0.56334 SD2n 0.19835 -0.31792 -1.01282 -0.54769 -1.26616 2.57457 SD3n 1.26357 2.09028 1.14216 1.89015 -0.43104 0.11384 SD4n 0.24693 1.83784 2.07191 2.42312 0.97132 1.40220 Standardized Residuals CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- CC3vn 0.00000 CC4n -0.99544 0.00000 SD1n 1.49495 -2.75969 0.00003 SD2n 1.58960 -0.10550 -1.76756 -0.00001 SD3n -0.52111 1.22648 0.04073 -0.24349 0.00000 SD4n -1.66486 1.54067 1.11059 -0.95195 -0.95997 0.00000 Summary Statistics for Standardized Residuals Smallest Standardized Residual = -11.25630 Median Standardized Residual = 0.00000 Largest Standardized Residual = 2.57457 Stemleaf Plot -10|3 - 8| - 6| - 4| - 2|658743 - 0|8763332000097555443221100000000000000000000 0|122246790001123455556689 2|1146 Largest Negative Standardized Residuals Residual for CC1n and SB4n -11.25630 Residual for CC2vn and CC1n -3.46914 Residual for CC3vn and CC1n -2.73764 Residual for SD1n and SB2n -3.56417 Residual for SD1n and CC4n -2.75969 Model B2 -- Alternative three-factor model -- Natasja van Lang -- Current data Qplot of Standardized Residuals 3.5.......................................................................... . .. . . . . . . . . . . . . . . . . . . . . . . . x . . . . . . x . . . x . . . x . . . x . N . . x x . o . . x* . r . . x* . m . . xxx . a . . *x . l . . x xx . . *x x . Q . x x* . u . *x. . a . xx. . n . x *. . t . x* . . i . x * . . l . x . . e . xxx . . s . * . . . x . . . x . . x . . x . . . . . x . . . . . . . . . . . . . . . . . . . . . . . -3.5.......................................................................... -3.5 3.5 Standardized Residuals Model B2 -- Alternative three-factor model -- Natasja van Lang -- Current data Modification Indices and Expected Change Modification Indices for LAMBDA-X sc st pl -------- -------- -------- SB1n - - 0.24096 2.97236 SB2n 0.09960 0.04848 - - SB3n - - 1.14220 0.28254 SB4n - - 0.49391 1.35961 CC1n - - 2.69153 0.57409 CC2vn - - 5.15889 0.26916 CC3vn 5.01808 - - 2.44808 CC4n 0.09313 0.04367 - - SD1n 1.08527 - - 3.38617 SD2n 0.21505 - - 0.10565 SD3n 2.85247 - - 4.66597 SD4n 6.70743 - - 4.54981 Expected Change for LAMBDA-X sc st pl -------- -------- -------- SB1n - - 0.04291 -0.12227 SB2n -0.22198 0.04997 - - SB3n - - -0.13169 -0.05489 SB4n - - 0.08172 0.11451 CC1n - - -0.31025 0.11879 CC2vn - - 0.26031 0.04745 CC3vn -0.33325 - - -0.17761 CC4n 0.12015 -0.02605 - - SD1n -0.09143 - - -0.14211 SD2n -0.03926 - - -0.02425 SD3n 0.16007 - - 0.17719 SD4n 0.23417 - - 0.15317 Standardized Expected Change for LAMBDA-X sc st pl -------- -------- -------- SB1n - - 0.04291 -0.12227 SB2n -0.22198 0.04997 - - SB3n - - -0.13169 -0.05489 SB4n - - 0.08172 0.11451 CC1n - - -0.31025 0.11879 CC2vn - - 0.26031 0.04745 CC3vn -0.33325 - - -0.17761 CC4n 0.12015 -0.02605 - - SD1n -0.09143 - - -0.14211 SD2n -0.03926 - - -0.02425 SD3n 0.16007 - - 0.17719 SD4n 0.23417 - - 0.15317 Completely Standardized Expected Change for LAMBDA-X sc st pl -------- -------- -------- SB1n - - 0.03443 -0.09812 SB2n -0.08113 0.01826 - - SB3n - - -0.06954 -0.02899 SB4n - - 0.04461 0.06251 CC1n - - -0.12082 0.04626 CC2vn - - 0.19625 0.03577 CC3vn -0.21858 - - -0.11649 CC4n 0.06544 -0.01419 - - SD1n -0.07814 - - -0.12145 SD2n -0.03626 - - -0.02240 SD3n 0.13533 - - 0.14981 SD4n 0.23124 - - 0.15125 No Non-Zero Modification Indices for PHI Modification Indices for THETA-DELTA SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- SB1n - - SB2n 1.72049 - - SB3n 0.72160 0.15865 - - SB4n 1.05640 5.00390 0.40006 - - CC1n 0.45013 0.04923 1.88377 0.65131 - - CC2vn 0.00339 2.73407 1.87889 1.28813 2.40222 - - CC3vn 0.02370 0.18250 5.08998 1.20925 1.42386 2.93721 CC4n 0.06456 - - 0.04241 3.63400 1.00050 4.44767 SD1n 4.76912 0.09486 0.02213 2.87721 0.12350 0.01597 SD2n 0.19081 0.12989 0.48178 0.49772 0.47161 6.37949 SD3n 0.15056 1.22081 0.57504 0.89014 0.79186 2.14538 SD4n 3.00008 0.16380 2.10682 1.24899 0.25429 0.02494 Modification Indices for THETA-DELTA CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- CC3vn - - CC4n 0.00584 - - SD1n 2.92680 0.54800 - - SD2n 6.31691 0.09474 1.65907 - - SD3n 0.38970 0.02877 0.00269 0.10666 - - SD4n 2.92619 0.20930 1.53437 0.36550 1.54653 - - Expected Change for THETA-DELTA SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- SB1n - - SB2n -0.11336 - - SB3n -0.08481 -0.05005 - - SB4n 0.11189 0.26135 -0.14338 - - CC1n 0.09197 -0.04238 0.28087 -0.15949 - - CC2vn 0.00429 -0.17841 0.14791 -0.11494 -0.24722 - - CC3vn -0.01221 -0.05379 -0.25658 0.11585 -0.21013 0.17135 CC4n 0.01516 - - 0.01770 -0.15303 0.13207 0.15754 SD1n 0.13605 -0.03010 -0.01327 -0.14005 -0.04863 0.00993 SD2n 0.02505 -0.03248 -0.05707 -0.05368 -0.08750 0.18270 SD3n 0.02463 0.10992 0.06896 0.07937 -0.12552 -0.11731 SD4n -0.09569 0.03483 0.11487 0.08183 0.06190 -0.01101 Expected Change for THETA-DELTA CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- CC3vn - - CC4n -0.00649 - - SD1n 0.19675 -0.04929 - - SD2n 0.26492 0.01888 -0.09663 - - SD3n -0.06770 -0.01151 0.00431 -0.02558 - - SD4n -0.15802 0.02698 0.08690 -0.03870 -0.08669 - - Completely Standardized Expected Change for THETA-DELTA SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- SB1n - - SB2n -0.03325 - - SB3n -0.03594 -0.00966 - - SB4n 0.04902 0.05214 -0.04134 - - CC1n 0.02874 -0.00603 0.05776 -0.03391 - - CC2vn 0.00259 -0.04916 0.05889 -0.04730 -0.07258 - - CC3vn -0.00643 -0.01289 -0.08887 0.04148 -0.05367 0.08473 CC4n 0.00663 - - 0.00509 -0.04551 0.02801 0.06469 SD1n 0.09331 -0.00940 -0.00599 -0.06535 -0.01619 0.00640 SD2n 0.01857 -0.01096 -0.02784 -0.02707 -0.03147 0.12722 SD3n 0.01671 0.03396 0.03079 0.03663 -0.04133 -0.07477 SD4n -0.07583 0.01257 0.05991 0.04412 0.02381 -0.00819 Completely Standardized Expected Change for THETA-DELTA CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- CC3vn - - CC4n -0.00232 - - SD1n 0.11029 -0.02294 - - SD2n 0.16049 0.00950 -0.07628 - - SD3n -0.03754 -0.00530 0.00312 -0.01998 - - SD4n -0.10235 0.01451 0.07334 -0.03530 -0.07238 - - Maximum Modification Index is 6.71 for Element (12, 1) of LAMBDA-X Covariance Matrix of Parameter Estimates LX 1,1 LX 2,3 LX 3,1 LX 4,1 LX 5,1 LX 6,1 -------- -------- -------- -------- -------- -------- LX 1,1 0.00425 LX 2,3 -0.00014 0.02191 LX 3,1 0.00071 0.00355 0.00848 LX 4,1 0.00188 0.00275 0.00253 0.00842 LX 5,1 0.00180 0.00309 0.00359 0.00352 0.02118 LX 6,1 0.00007 0.00055 -0.00013 -0.00129 -0.00217 0.00621 LX 7,2 0.00030 0.00091 -0.00077 -0.00107 -0.00303 0.00181 LX 8,3 0.00034 0.00222 0.00132 0.00172 0.00229 0.00039 LX 9,2 0.00017 -0.00005 -0.00090 -0.00062 0.00038 0.00000 LX 10,2 0.00006 0.00078 0.00043 -0.00023 -0.00111 0.00055 LX 11,2 -0.00021 0.00222 0.00027 0.00011 -0.00057 -0.00029 LX 12,2 0.00027 0.00079 0.00075 0.00029 0.00081 -0.00008 PH 2,1 0.00015 -0.00012 -0.00012 -0.00060 -0.00188 0.00127 PH 3,1 0.00006 0.00192 0.00050 0.00036 0.00000 0.00042 PH 3,2 0.00041 0.00052 0.00033 0.00024 -0.00080 0.00127 TD 1,1 -0.00229 0.00237 -0.00048 0.00012 -0.00078 -0.00018 TD 2,2 0.00121 -0.04670 -0.00372 -0.00171 -0.00441 -0.00045 TD 3,3 0.00147 -0.00176 -0.00928 -0.00040 -0.00140 0.00038 TD 4,4 0.00040 0.00182 0.00022 -0.00489 0.00205 -0.00001 TD 5,5 -0.00136 0.00309 0.00136 -0.00172 -0.02337 -0.00007 TD 6,6 0.00004 0.00058 0.00059 0.00165 0.00103 -0.00395 TD 7,7 0.00233 0.00272 0.00236 0.00211 -0.00080 -0.00058 TD 8,8 -0.00077 0.01608 0.00062 0.00030 -0.00017 0.00025 TD 9,9 -0.00079 -0.00015 0.00076 -0.00037 -0.00260 -0.00087 TD 10,10 -0.00022 0.00084 -0.00063 0.00028 0.00094 -0.00026 TD 11,11 -0.00004 -0.00080 0.00081 0.00066 0.00038 -0.00015 TD 12,12 -0.00003 0.00083 0.00023 0.00030 0.00004 -0.00039 Covariance Matrix of Parameter Estimates LX 7,2 LX 8,3 LX 9,2 LX 10,2 LX 11,2 LX 12,2 -------- -------- -------- -------- -------- -------- LX 7,2 0.01487 LX 8,3 -0.00173 0.01271 LX 9,2 0.00173 -0.00105 0.00571 LX 10,2 0.00243 -0.00075 -0.00033 0.00544 LX 11,2 0.00021 0.00038 0.00048 0.00157 0.00706 LX 12,2 -0.00192 0.00099 -0.00006 -0.00076 -0.00058 0.00560 PH 2,1 0.00036 0.00057 -0.00077 -0.00016 -0.00012 0.00047 PH 3,1 -0.00020 0.00327 -0.00008 -0.00003 0.00073 0.00046 PH 3,2 0.00035 0.00084 -0.00056 0.00056 0.00065 0.00003 TD 1,1 -0.00040 0.00228 -0.00030 0.00036 0.00114 -0.00055 TD 2,2 -0.00568 0.02779 -0.00378 -0.00073 -0.00374 0.00039 TD 3,3 0.00110 -0.00024 0.00053 -0.00027 -0.00077 -0.00056 TD 4,4 -0.00022 -0.00066 -0.00056 -0.00029 -0.00022 -0.00001 TD 5,5 0.00405 0.00282 -0.00038 -0.00059 0.00036 0.00050 TD 6,6 -0.00159 0.00077 -0.00049 0.00013 0.00093 -0.00004 TD 7,7 -0.00557 0.00338 -0.00068 0.00079 0.00250 0.00106 TD 8,8 0.00431 -0.00706 0.00127 0.00191 0.00196 -0.00039 TD 9,9 0.00107 -0.00096 -0.00369 0.00006 -0.00076 0.00050 TD 10,10 -0.00007 0.00026 0.00007 -0.00192 -0.00033 0.00031 TD 11,11 -0.00026 0.00070 0.00108 -0.00075 -0.00281 0.00049 TD 12,12 0.00104 0.00022 0.00111 0.00024 0.00151 -0.00224 Covariance Matrix of Parameter Estimates PH 2,1 PH 3,1 PH 3,2 TD 1,1 TD 2,2 TD 3,3 -------- -------- -------- -------- -------- -------- PH 2,1 0.00464 PH 3,1 0.00087 0.00359 PH 3,2 0.00183 0.00107 0.00499 TD 1,1 -0.00022 0.00053 -0.00016 0.00806 TD 2,2 0.00417 0.00992 0.00263 -0.00070 0.28842 TD 3,3 -0.00023 -0.00084 0.00054 -0.00061 0.00298 0.03628 TD 4,4 -0.00072 0.00000 -0.00083 0.00042 -0.00693 -0.00049 TD 5,5 0.00048 0.00053 0.00034 0.00597 -0.00096 0.00057 TD 6,6 -0.00124 0.00012 -0.00077 0.00016 0.00333 0.00002 TD 7,7 0.00253 0.00105 0.00127 0.00089 0.00545 0.00220 TD 8,8 -0.00141 -0.00252 -0.00035 0.00055 -0.07563 -0.00066 TD 9,9 -0.00002 -0.00070 -0.00032 0.00271 -0.00465 -0.00190 TD 10,10 -0.00062 -0.00026 0.00024 0.00005 -0.00452 0.00161 TD 11,11 -0.00043 -0.00110 -0.00035 0.00020 0.00024 0.00062 TD 12,12 -0.00108 0.00014 -0.00011 0.00023 -0.00218 -0.00074 Covariance Matrix of Parameter Estimates TD 4,4 TD 5,5 TD 6,6 TD 7,7 TD 8,8 TD 9,9 -------- -------- -------- -------- -------- -------- TD 4,4 0.02328 TD 5,5 0.00317 0.15504 TD 6,6 -0.00149 -0.00050 0.01091 TD 7,7 0.00071 0.00244 0.00172 0.03677 TD 8,8 -0.00008 0.00307 0.00004 -0.00187 0.03465 TD 9,9 0.00014 0.00702 0.00108 -0.00154 0.00108 0.01589 TD 10,10 0.00069 0.00285 0.00007 -0.00017 0.00243 0.00047 TD 11,11 -0.00086 0.00006 0.00025 0.00064 0.00088 0.00132 TD 12,12 -0.00078 -0.00121 0.00016 0.00172 0.00122 -0.00053 Covariance Matrix of Parameter Estimates TD 10,10 TD 11,11 TD 12,12 -------- -------- -------- TD 10,10 0.00997 TD 11,11 0.00135 0.01589 TD 12,12 -0.00012 0.00040 0.00766 Model B2 -- Alternative three-factor model -- Natasja van Lang -- Current data Correlation Matrix of Parameter Estimates LX 1,1 LX 2,3 LX 3,1 LX 4,1 LX 5,1 LX 6,1 -------- -------- -------- -------- -------- -------- LX 1,1 1.00000 LX 2,3 -0.01482 1.00000 LX 3,1 0.11764 0.26035 1.00000 LX 4,1 0.31509 0.20275 0.29912 1.00000 LX 5,1 0.18953 0.14340 0.26790 0.26362 1.00000 LX 6,1 0.01300 0.04750 -0.01742 -0.17869 -0.18886 1.00000 LX 7,2 0.03770 0.05058 -0.06862 -0.09598 -0.17082 0.18879 LX 8,3 0.04628 0.13286 0.12761 0.16644 0.13975 0.04414 LX 9,2 0.03547 -0.00490 -0.12953 -0.08991 0.03457 -0.00041 LX 10,2 0.01207 0.07188 0.06398 -0.03373 -0.10347 0.09508 LX 11,2 -0.03920 0.17808 0.03522 0.01376 -0.04671 -0.04339 LX 12,2 0.05636 0.07130 0.10940 0.04182 0.07395 -0.01399 PH 2,1 0.03372 -0.01191 -0.01897 -0.09656 -0.18961 0.23748 PH 3,1 0.01540 0.21606 0.09082 0.06516 0.00006 0.08953 PH 3,2 0.09007 0.04944 0.05053 0.03649 -0.07740 0.22877 TD 1,1 -0.39183 0.17835 -0.05814 0.01496 -0.05993 -0.02546 TD 2,2 0.03452 -0.58739 -0.07525 -0.03473 -0.05646 -0.01052 TD 3,3 0.11853 -0.06255 -0.52916 -0.02262 -0.05040 0.02548 TD 4,4 0.04012 0.08061 0.01557 -0.34903 0.09242 -0.00052 TD 5,5 -0.05320 0.05299 0.03762 -0.04757 -0.40786 -0.00218 TD 6,6 0.00561 0.03766 0.06143 0.17227 0.06762 -0.47982 TD 7,7 0.18628 0.09583 0.13385 0.11982 -0.02876 -0.03870 TD 8,8 -0.06364 0.58367 0.03594 0.01759 -0.00634 0.01679 TD 9,9 -0.09594 -0.00824 0.06571 -0.03168 -0.14157 -0.08794 TD 10,10 -0.03374 0.05681 -0.06839 0.03042 0.06461 -0.03345 TD 11,11 -0.00445 -0.04265 0.06994 0.05683 0.02049 -0.01468 TD 12,12 -0.00481 0.06393 0.02910 0.03779 0.00307 -0.05719 Correlation Matrix of Parameter Estimates LX 7,2 LX 8,3 LX 9,2 LX 10,2 LX 11,2 LX 12,2 -------- -------- -------- -------- -------- -------- LX 7,2 1.00000 LX 8,3 -0.12592 1.00000 LX 9,2 0.18770 -0.12346 1.00000 LX 10,2 0.27017 -0.08985 -0.05891 1.00000 LX 11,2 0.02096 0.04009 0.07561 0.25262 1.00000 LX 12,2 -0.20990 0.11698 -0.01148 -0.13709 -0.09216 1.00000 PH 2,1 0.04390 0.07464 -0.14985 -0.03248 -0.02011 0.09309 PH 3,1 -0.02754 0.48430 -0.01676 -0.00701 0.14546 0.10183 PH 3,2 0.04050 0.10602 -0.10485 0.10670 0.10896 0.00541 TD 1,1 -0.03668 0.22537 -0.04462 0.05420 0.15086 -0.08215 TD 2,2 -0.08678 0.45901 -0.09312 -0.01839 -0.08293 0.00976 TD 3,3 0.04743 -0.01137 0.03655 -0.01939 -0.04828 -0.03898 TD 4,4 -0.01180 -0.03854 -0.04861 -0.02547 -0.01696 -0.00130 TD 5,5 0.08434 0.06362 -0.01265 -0.02037 0.01084 0.01690 TD 6,6 -0.12516 0.06525 -0.06219 0.01683 0.10636 -0.00528 TD 7,7 -0.23826 0.15651 -0.04669 0.05580 0.15544 0.07370 TD 8,8 0.18977 -0.33664 0.08997 0.13933 0.12504 -0.02831 TD 9,9 0.06953 -0.06755 -0.38685 0.00698 -0.07217 0.05259 TD 10,10 -0.00552 0.02336 0.00888 -0.26113 -0.03907 0.04107 TD 11,11 -0.01704 0.04905 0.11324 -0.08047 -0.26478 0.05189 TD 12,12 0.09740 0.02256 0.16848 0.03701 0.20575 -0.34169 Correlation Matrix of Parameter Estimates PH 2,1 PH 3,1 PH 3,2 TD 1,1 TD 2,2 TD 3,3 -------- -------- -------- -------- -------- -------- PH 2,1 1.00000 PH 3,1 0.21364 1.00000 PH 3,2 0.38080 0.25397 1.00000 TD 1,1 -0.03539 0.09795 -0.02482 1.00000 TD 2,2 0.11397 0.30815 0.06945 -0.01450 1.00000 TD 3,3 -0.01760 -0.07392 0.04018 -0.03550 0.02913 1.00000 TD 4,4 -0.06955 0.00038 -0.07689 0.03056 -0.08461 -0.01679 TD 5,5 0.01774 0.02249 0.01224 0.16879 -0.00452 0.00765 TD 6,6 -0.17465 0.01869 -0.10442 0.01674 0.05944 0.00113 TD 7,7 0.19370 0.09148 0.09405 0.05188 0.05291 0.06011 TD 8,8 -0.11105 -0.22621 -0.02697 0.03295 -0.75659 -0.01850 TD 9,9 -0.00189 -0.09231 -0.03579 0.23896 -0.06872 -0.07921 TD 10,10 -0.09160 -0.04315 0.03453 0.00512 -0.08429 0.08458 TD 11,11 -0.05030 -0.14559 -0.03969 0.01802 0.00362 0.02584 TD 12,12 -0.18189 0.02722 -0.01711 0.02923 -0.04638 -0.04450 Correlation Matrix of Parameter Estimates TD 4,4 TD 5,5 TD 6,6 TD 7,7 TD 8,8 TD 9,9 -------- -------- -------- -------- -------- -------- TD 4,4 1.00000 TD 5,5 0.05274 1.00000 TD 6,6 -0.09374 -0.01219 1.00000 TD 7,7 0.02426 0.03232 0.08575 1.00000 TD 8,8 -0.00282 0.04184 0.00211 -0.05228 1.00000 TD 9,9 0.00749 0.14137 0.08184 -0.06377 0.04597 1.00000 TD 10,10 0.04499 0.07245 0.00647 -0.00914 0.13095 0.03735 TD 11,11 -0.04490 0.00125 0.01910 0.02647 0.03745 0.08319 TD 12,12 -0.05833 -0.03517 0.01804 0.10226 0.07480 -0.04767 Correlation Matrix of Parameter Estimates TD 10,10 TD 11,11 TD 12,12 -------- -------- -------- TD 10,10 1.00000 TD 11,11 0.10753 1.00000 TD 12,12 -0.01322 0.03602 1.00000 Model B2 -- Alternative three-factor model -- Natasja van Lang -- Current data Standardized Solution LAMBDA-X sc st pl -------- -------- -------- SB1n 0.89844 - - - - SB2n - - - - 2.69718 SB3n 1.47595 - - - - SB4n 1.50910 - - - - CC1n 1.62788 - - - - CC2vn 0.64375 - - - - CC3vn - - 0.90730 - - CC4n - - - - 1.56141 SD1n - - 0.62537 - - SD2n - - 0.59262 - - SD3n - - 0.60554 - - SD4n - - 0.47274 - - PHI sc st pl -------- -------- -------- sc 1.00000 st 0.47558 1.00000 pl 0.48454 0.37259 1.00000 Model B2 -- Alternative three-factor model -- Natasja van Lang -- Current data Completely Standardized Solution LAMBDA-X sc st pl -------- -------- -------- SB1n 0.72099 - - - - SB2n - - - - 0.98571 SB3n 0.77945 - - - - SB4n 0.82388 - - - - CC1n 0.63395 - - - - CC2vn 0.48531 - - - - CC3vn - - 0.59509 - - CC4n - - - - 0.85045 SD1n - - 0.53447 - - SD2n - - 0.54736 - - SD3n - - 0.51196 - - SD4n - - 0.46682 - - PHI sc st pl -------- -------- -------- sc 1.00000 st 0.47558 1.00000 pl 0.48454 0.37259 1.00000 THETA-DELTA SB1n SB2n SB3n SB4n CC1n CC2vn -------- -------- -------- -------- -------- -------- 0.48017 0.02837 0.39245 0.32122 0.59810 0.76447 THETA-DELTA CC3vn CC4n SD1n SD2n SD3n SD4n -------- -------- -------- -------- -------- -------- 0.64586 0.27673 0.71435 0.70040 0.73790 0.78208 Time used: 8.740 Seconds