Mplus VERSION 7 MUTHEN & MUTHEN 09/28/2012 4:20 PM INPUT INSTRUCTIONS TITLE: example 3 factor DATA: VARIABLE: Names ARE id assess calcage al an ap af as ds so fe hp im ic lp se sd sh sl; USEVARIABLES ARE al an ap af ds so fe hp ic lp se sd sl; missing are all (-999); MODEL: Negaffe by ap* ds fe an sd so se; Extsurg by ap* hp sl al ds fe an so; Effcont by ap* hp sl al so ic af lp se; negaffe@1; extsurg@1; effcont@1; output: modindices(0); INPUT READING TERMINATED NORMALLY example 3 factor SUMMARY OF ANALYSIS Number of groups 1 Number of observations 90 Number of dependent variables 13 Number of independent variables 0 Number of continuous latent variables 3 Observed dependent variables Continuous AL AN AP AF DS SO FE HP IC LP SE SD SL Continuous latent variables NEGAFFE EXTSURG EFFCONT Estimator ML Information matrix OBSERVED Maximum number of iterations 1000 Convergence criterion 0.500D-04 Maximum number of steepest descent iterations 20 Maximum number of iterations for H1 2000 Convergence criterion for H1 0.100D-03 Input data file(s) C:\Users\sdmcquil\Desktop\Rothbart_Cut_No_Head2.dat Input data format FREE SUMMARY OF DATA Number of missing data patterns 7 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage AL AN AP AF DS ________ ________ ________ ________ ________ AL 1.000 AN 1.000 1.000 AP 0.978 0.978 0.978 AF 0.989 0.989 0.978 0.989 DS 1.000 1.000 0.978 0.989 1.000 SO 1.000 1.000 0.978 0.989 1.000 FE 0.944 0.944 0.922 0.933 0.944 HP 1.000 1.000 0.978 0.989 1.000 IC 0.978 0.978 0.978 0.978 0.978 LP 1.000 1.000 0.978 0.989 1.000 SE 0.900 0.900 0.900 0.900 0.900 SD 0.956 0.956 0.956 0.956 0.956 SL 1.000 1.000 0.978 0.989 1.000 Covariance Coverage SO FE HP IC LP ________ ________ ________ ________ ________ SO 1.000 FE 0.944 0.944 HP 1.000 0.944 1.000 IC 0.978 0.922 0.978 0.978 LP 1.000 0.944 1.000 0.978 1.000 SE 0.900 0.878 0.900 0.900 0.900 SD 0.956 0.922 0.956 0.956 0.956 SL 1.000 0.944 1.000 0.978 1.000 Covariance Coverage SE SD SL ________ ________ ________ SE 0.900 SD 0.900 0.956 SL 0.900 0.956 1.000 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 53 Loglikelihood H0 Value -1278.064 H1 Value -1244.630 Information Criteria Akaike (AIC) 2662.128 Bayesian (BIC) 2794.618 Sample-Size Adjusted BIC 2627.346 (n* = (n + 2) / 24) Chi-Square Test of Model Fit Value 66.868 Degrees of Freedom 51 P-Value 0.0672 RMSEA (Root Mean Square Error Of Approximation) Estimate 0.059 90 Percent C.I. 0.000 0.095 Probability RMSEA <= .05 0.339 CFI/TLI CFI 0.952 TLI 0.927 Chi-Square Test of Model Fit for the Baseline Model Value 409.724 Degrees of Freedom 78 P-Value 0.0000 SRMR (Standardized Root Mean Square Residual) Value 0.051 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value NEGAFFE BY AP 0.480 0.102 4.720 0.000 DS 0.592 0.123 4.817 0.000 FE 0.674 0.155 4.338 0.000 AN 0.726 0.110 6.574 0.000 SD 0.773 0.090 8.572 0.000 SO -0.488 0.105 -4.653 0.000 SE 0.437 0.101 4.350 0.000 EXTSURG BY AP 0.290 0.112 2.599 0.009 HP 0.535 0.091 5.876 0.000 SL 0.313 0.081 3.878 0.000 AL 0.445 0.096 4.610 0.000 DS -0.234 0.134 -1.745 0.081 FE -0.580 0.170 -3.417 0.001 AN 0.095 0.119 0.798 0.425 SO -0.121 0.113 -1.072 0.284 EFFCONT BY AP 0.093 0.105 0.889 0.374 HP 0.106 0.117 0.903 0.367 SL 0.271 0.089 3.050 0.002 AL -0.459 0.119 -3.845 0.000 SO 0.445 0.096 4.634 0.000 IC 0.562 0.083 6.742 0.000 AF 0.509 0.087 5.836 0.000 LP 0.387 0.079 4.882 0.000 SE 0.397 0.106 3.731 0.000 EXTSURG WITH NEGAFFE 0.480 0.146 3.285 0.001 EFFCONT WITH NEGAFFE 0.206 0.135 1.533 0.125 EXTSURG 0.143 0.213 0.671 0.503 Intercepts AL 5.449 0.086 63.684 0.000 AN 4.287 0.105 40.867 0.000 AP 5.076 0.098 51.936 0.000 AF 3.055 0.086 35.439 0.000 DS 4.052 0.094 43.127 0.000 SO 4.253 0.093 45.955 0.000 FE 3.514 0.105 33.375 0.000 HP 4.504 0.085 53.270 0.000 IC 3.191 0.082 38.968 0.000 LP 5.127 0.073 70.340 0.000 SE 4.144 0.109 38.175 0.000 SD 3.481 0.102 33.966 0.000 SL 5.649 0.075 74.875 0.000 Variances NEGAFFE 1.000 0.000 999.000 999.000 EXTSURG 1.000 0.000 999.000 999.000 EFFCONT 1.000 0.000 999.000 999.000 Residual Variances AL 0.308 0.082 3.776 0.000 AN 0.388 0.078 4.966 0.000 AP 0.365 0.071 5.123 0.000 AF 0.404 0.073 5.510 0.000 DS 0.523 0.092 5.689 0.000 SO 0.368 0.075 4.870 0.000 FE 0.539 0.134 4.013 0.000 HP 0.329 0.078 4.221 0.000 IC 0.279 0.066 4.226 0.000 LP 0.328 0.059 5.571 0.000 SE 0.562 0.103 5.460 0.000 SD 0.325 0.072 4.542 0.000 SL 0.317 0.060 5.239 0.000