Mplus VERSION 6.1 MUTHEN & MUTHEN 10/15/2010 12:54 PM INPUT INSTRUCTIONS title: Raw data from Holzinger-Swineford as entered by the students of Muthen's Fall 1993 UCLA Education 210E class: Grades VII and VIII of the Grant-White elementary school in Forest Park, Illinois n=145 The 24 tests and the 2 revised/new tests. Gender, grade, and age information Sources: Holzinger, K. J. & Swineford, F. (1939). A study in Factor Analysis: The Stability of a Bi-Factor Solution. Supplementary Educational Monographs. Chicago, Ill.: The University of Chicago. Harman, H.H. (1976). Modern Factor Analysis. Third Edition. Chicago: The University of Chicago Press data: file is holzingr.dat; format is f3,2f2,f3,2f2/3x,13(1x,f3)/3x,13(1x,f3); variable: names are id female grade agey agem school visual cubes paper flags general paragrap sentence wordc wordm addition code counting straight wordr numberr figurer object numberf figurew deduct numeric problemr series arithmet paperrev flagssub; ! id is student record; these data are the n=145 students ! in records 201-351 given in the 1939 monograph. ! agey is age in years, agem is age in months. ! school = 0 is Grant-White ! flags = lozenges usev are visual cubes paper flags general paragrap sentence wordc wordm addition code counting straight wordr numberr figurer object numberf figurew; useobs = school eq 0; Define: visual = visual/sqrt(47.471); cubes = cubes /sqrt(19.622); paper = paper /sqrt(7.908); flags = flags/sqrt(68.695); general = general/sqrt(134.970); paragrap = paragrap/sqrt(11.315); sentence = sentence/sqrt(21.467); wordc = wordc/sqrt(28.505); wordm = wordm/sqrt(62.727); addition = addition/sqrt(561.692); code = code/sqrt(275.759); counting = counting/sqrt(437.752); straight = straight/sqrt(1362.158); wordr = wordr/sqrt(116.448); numberr = numberr/sqrt(56.496); figurer = figurer/sqrt(45.937); object = object/sqrt(20.730); numberf = numberf/sqrt(20.150); figurew = figurew/sqrt(12.845); Analysis: estimator = bayes; process = 2; fbiter = 20000; stval = ml; Model: spatial by visual* cubes paper flags; verbal by general* paragrap sentence wordc wordm; speed by addition* code counting straight; memory by wordr* numberr figurer object numberf figurew; spatial-memory@1; Output: tech1 tech8 stdyx; Plot: type = plot2; INPUT READING TERMINATED NORMALLY Raw data from Holzinger-Swineford as entered by the students of Muthen's Fall 1993 UCLA Education 210E class: Grades VII and VIII of the Grant-White elementary school in Forest Park, Illinois n=145 The 24 tests and the 2 revised/new tests. Gender, grade, and age information Sources: Holzinger, K. J. & Swineford, F. (1939). A study in Factor Analysis: The Stability of a Bi-Factor Solution. Supplementary Educational Monographs. Chicago, Ill.: The University of Chicago. Harman, H.H. (1976). Modern Factor Analysis. Third Edition. Chicago: The University of Chicago Press SUMMARY OF ANALYSIS Number of groups 1 Number of observations 145 Number of dependent variables 19 Number of independent variables 0 Number of continuous latent variables 4 Observed dependent variables Continuous VISUAL CUBES PAPER FLAGS GENERAL PARAGRAP SENTENCE WORDC WORDM ADDITION CODE COUNTING STRAIGHT WORDR NUMBERR FIGURER OBJECT NUMBERF FIGUREW Continuous latent variables SPATIAL VERBAL SPEED MEMORY Estimator BAYES Specifications for Bayesian Estimation Point estimate MEDIAN Number of Markov chain Monte Carlo (MCMC) chains 2 Random seed for the first chain 0 Starting value information ML Treatment of categorical mediator LATENT Algorithm used for Markov chain Monte Carlo GIBBS(PX1) Fixed number of iterations 20000 K-th iteration used for thinning 1 Integration Specifications Type STANDARD Number of integration points 15 Dimensions of numerical integration 0 Adaptive quadrature ON Cholesky OFF Input data file(s) holzingr.dat Input data format (F3,2F2,F3,2F2,/,3X,13(1X,F3),/,3X,13(1X,F3)) THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 63 Bayesian Posterior Predictive Checking using Chi-Square 95% Confidence Interval for the Difference Between the Observed and the Replicated Chi-Square Values 13.348 111.253 Posterior Predictive P-Value 0.007 Information Criterion Deviance (DIC) 6993.919 Estimated Number of Parameters (pD) 62.326 MODEL RESULTS Posterior One-Tailed 95% C.I. Estimate S.D. P-Value Lower 2.5% Upper 2.5% SPATIAL BY VISUAL 0.705 0.087 0.000 0.535 0.878 CUBES 0.489 0.094 0.000 0.304 0.676 PAPER 0.554 0.091 0.000 0.379 0.736 FLAGS 0.692 0.090 0.000 0.519 0.870 VERBAL BY GENERAL 0.835 0.073 0.000 0.698 0.983 PARAGRAP 0.846 0.072 0.000 0.712 0.995 SENTENCE 0.863 0.071 0.000 0.731 1.012 WORDC 0.717 0.078 0.000 0.572 0.875 WORDM 0.871 0.071 0.000 0.737 1.016 SPEED BY ADDITION 0.670 0.088 0.000 0.498 0.844 CODE 0.715 0.083 0.000 0.555 0.879 COUNTING 0.719 0.087 0.000 0.554 0.892 STRAIGHT 0.768 0.083 0.000 0.609 0.933 MEMORY BY WORDR 0.534 0.094 0.000 0.352 0.718 NUMBERR 0.533 0.092 0.000 0.355 0.714 FIGURER 0.614 0.089 0.000 0.439 0.790 OBJECT 0.647 0.090 0.000 0.474 0.826 NUMBERF 0.667 0.089 0.000 0.494 0.846 FIGUREW 0.498 0.092 0.000 0.320 0.680 VERBAL WITH SPATIAL 0.592 0.083 0.000 0.416 0.740 SPEED WITH SPATIAL 0.577 0.098 0.000 0.371 0.750 VERBAL 0.464 0.085 0.000 0.284 0.615 MEMORY WITH SPATIAL 0.631 0.095 0.000 0.428 0.800 VERBAL 0.495 0.087 0.000 0.308 0.650 SPEED 0.599 0.087 0.000 0.412 0.752 Intercepts VISUAL 4.292 0.086 0.000 4.124 4.463 CUBES 5.597 0.086 0.000 5.427 5.765 PAPER 5.085 0.085 0.000 4.919 5.252 FLAGS 1.924 0.086 0.000 1.759 2.097 GENERAL 3.860 0.085 0.000 3.693 4.027 PARAGRAP 2.956 0.085 0.000 2.793 3.125 SENTENCE 4.068 0.085 0.000 3.901 4.234 WORDC 5.280 0.084 0.000 5.114 5.446 WORDM 2.181 0.084 0.000 2.013 2.348 ADDITION 3.805 0.086 0.000 3.636 3.974 CODE 4.130 0.087 0.000 3.958 4.298 COUNTING 5.245 0.086 0.000 5.076 5.415 STRAIGHT 5.194 0.086 0.000 5.025 5.362 WORDR 16.335 0.085 0.000 16.165 16.500 NUMBERR 11.888 0.085 0.000 11.723 12.056 FIGURER 15.254 0.086 0.000 15.089 15.424 OBJECT 1.581 0.086 0.000 1.413 1.750 NUMBERF 2.103 0.086 0.000 1.934 2.276 FIGUREW 4.251 0.085 0.000 4.082 4.418 Variances SPATIAL 1.000 0.000 0.000 1.000 1.000 VERBAL 1.000 0.000 0.000 1.000 1.000 SPEED 1.000 0.000 0.000 1.000 1.000 MEMORY 1.000 0.000 0.000 1.000 1.000 Residual Variances VISUAL 0.551 0.094 0.000 0.388 0.753 CUBES 0.799 0.108 0.000 0.619 1.042 PAPER 0.734 0.102 0.000 0.562 0.963 FLAGS 0.568 0.096 0.000 0.402 0.779 GENERAL 0.361 0.055 0.000 0.268 0.485 PARAGRAP 0.341 0.053 0.000 0.252 0.458 SENTENCE 0.312 0.050 0.000 0.228 0.425 WORDC 0.535 0.073 0.000 0.415 0.703 WORDM 0.302 0.049 0.000 0.219 0.413 ADDITION 0.599 0.093 0.000 0.441 0.804 CODE 0.540 0.086 0.000 0.390 0.726 COUNTING 0.533 0.087 0.000 0.381 0.722 STRAIGHT 0.462 0.083 0.000 0.317 0.645 WORDR 0.759 0.105 0.000 0.585 0.991 NUMBERR 0.760 0.103 0.000 0.585 0.991 FIGURER 0.670 0.098 0.000 0.502 0.889 OBJECT 0.629 0.096 0.000 0.466 0.842 NUMBERF 0.604 0.094 0.000 0.443 0.813 FIGUREW 0.796 0.106 0.000 0.620 1.029 STANDARDIZED MODEL RESULTS STDYX Standardization Posterior One-Tailed 95% C.I. Estimate S.D. P-Value Lower 2.5% Upper 2.5% SPATIAL BY VISUAL 0.688 0.063 0.000 0.549 0.797 CUBES 0.481 0.079 0.000 0.310 0.621 PAPER 0.543 0.073 0.000 0.385 0.672 FLAGS 0.676 0.066 0.000 0.533 0.789 VERBAL BY GENERAL 0.812 0.035 0.000 0.733 0.870 PARAGRAP 0.824 0.033 0.000 0.749 0.879 SENTENCE 0.840 0.031 0.000 0.769 0.892 WORDC 0.700 0.048 0.000 0.595 0.781 WORDM 0.846 0.031 0.000 0.776 0.895 SPEED BY ADDITION 0.654 0.064 0.000 0.514 0.763 CODE 0.698 0.057 0.000 0.571 0.794 COUNTING 0.701 0.059 0.000 0.573 0.803 STRAIGHT 0.749 0.054 0.000 0.628 0.841 MEMORY BY WORDR 0.522 0.077 0.000 0.356 0.655 NUMBERR 0.522 0.075 0.000 0.359 0.653 FIGURER 0.600 0.069 0.000 0.449 0.719 OBJECT 0.632 0.067 0.000 0.485 0.747 NUMBERF 0.652 0.066 0.000 0.505 0.764 FIGUREW 0.488 0.076 0.000 0.323 0.622 VERBAL WITH SPATIAL 0.592 0.083 0.000 0.416 0.740 SPEED WITH SPATIAL 0.577 0.098 0.000 0.371 0.750 VERBAL 0.464 0.085 0.000 0.284 0.615 MEMORY WITH SPATIAL 0.631 0.095 0.000 0.428 0.800 VERBAL 0.495 0.087 0.000 0.308 0.650 SPEED 0.599 0.087 0.000 0.412 0.752 Intercepts VISUAL 4.186 0.260 0.000 3.691 4.708 CUBES 5.474 0.339 0.000 4.816 6.142 PAPER 4.968 0.307 0.000 4.381 5.579 FLAGS 1.877 0.137 0.000 1.610 2.152 GENERAL 3.752 0.234 0.000 3.300 4.217 PARAGRAP 2.873 0.187 0.000 2.515 3.241 SENTENCE 3.951 0.244 0.000 3.474 4.431 WORDC 5.144 0.317 0.000 4.540 5.778 WORDM 2.118 0.148 0.000 1.830 2.410 ADDITION 3.709 0.234 0.000 3.259 4.175 CODE 4.023 0.249 0.000 3.546 4.518 COUNTING 5.112 0.313 0.000 4.507 5.732 STRAIGHT 5.055 0.305 0.000 4.477 5.665 WORDR 15.948 0.955 0.000 14.080 17.860 NUMBERR 11.592 0.694 0.000 10.272 12.995 FIGURER 14.871 0.890 0.000 13.158 16.651 OBJECT 1.541 0.123 0.000 1.301 1.787 NUMBERF 2.047 0.147 0.000 1.761 2.338 FIGUREW 4.150 0.264 0.000 3.651 4.676 Variances SPATIAL 1.000 0.000 0.000 1.000 1.000 VERBAL 1.000 0.000 0.000 1.000 1.000 SPEED 1.000 0.000 0.000 1.000 1.000 MEMORY 1.000 0.000 0.000 1.000 1.000 Residual Variances VISUAL 0.526 0.085 0.000 0.364 0.699 CUBES 0.769 0.074 0.000 0.614 0.904 PAPER 0.705 0.078 0.000 0.548 0.851 FLAGS 0.543 0.087 0.000 0.378 0.716 GENERAL 0.341 0.056 0.000 0.243 0.463 PARAGRAP 0.321 0.054 0.000 0.227 0.438 SENTENCE 0.295 0.052 0.000 0.205 0.409 WORDC 0.510 0.066 0.000 0.390 0.645 WORDM 0.284 0.051 0.000 0.199 0.397 ADDITION 0.572 0.082 0.000 0.418 0.736 CODE 0.513 0.078 0.000 0.369 0.674 COUNTING 0.508 0.082 0.000 0.355 0.671 STRAIGHT 0.439 0.080 0.000 0.292 0.605 WORDR 0.727 0.078 0.000 0.570 0.873 NUMBERR 0.728 0.076 0.000 0.574 0.871 FIGURER 0.640 0.080 0.000 0.484 0.798 OBJECT 0.601 0.083 0.000 0.442 0.765 NUMBERF 0.575 0.083 0.000 0.416 0.745 FIGUREW 0.762 0.072 0.000 0.613 0.896 R-SQUARE Posterior One-Tailed 95% C.I. Variable Estimate S.D. P-Value Lower 2.5% Upper 2.5% VISUAL 0.474 0.085 0.000 0.301 0.636 CUBES 0.231 0.074 0.000 0.096 0.386 PAPER 0.295 0.078 0.000 0.148 0.451 FLAGS 0.457 0.087 0.000 0.284 0.622 GENERAL 0.659 0.056 0.000 0.537 0.757 PARAGRAP 0.679 0.054 0.000 0.561 0.773 SENTENCE 0.705 0.052 0.000 0.591 0.795 WORDC 0.490 0.066 0.000 0.354 0.610 WORDM 0.716 0.051 0.000 0.603 0.801 ADDITION 0.428 0.082 0.000 0.264 0.582 CODE 0.487 0.078 0.000 0.326 0.631 COUNTING 0.492 0.082 0.000 0.329 0.645 STRAIGHT 0.561 0.080 0.000 0.395 0.708 WORDR 0.273 0.078 0.000 0.127 0.430 NUMBERR 0.272 0.076 0.000 0.129 0.426 FIGURER 0.360 0.080 0.000 0.202 0.516 OBJECT 0.399 0.083 0.000 0.235 0.558 NUMBERF 0.425 0.083 0.000 0.255 0.584 FIGUREW 0.238 0.072 0.000 0.104 0.387 TECHNICAL 1 OUTPUT PARAMETER SPECIFICATION NU VISUAL CUBES PAPER FLAGS GENERAL ________ ________ ________ ________ ________ 1 1 2 3 4 5 NU PARAGRAP SENTENCE WORDC WORDM ADDITION ________ ________ ________ ________ ________ 1 6 7 8 9 10 NU CODE COUNTING STRAIGHT WORDR NUMBERR ________ ________ ________ ________ ________ 1 11 12 13 14 15 NU FIGURER OBJECT NUMBERF FIGUREW ________ ________ ________ ________ 1 16 17 18 19 LAMBDA SPATIAL VERBAL SPEED MEMORY ________ ________ ________ ________ VISUAL 20 0 0 0 CUBES 21 0 0 0 PAPER 22 0 0 0 FLAGS 23 0 0 0 GENERAL 0 24 0 0 PARAGRAP 0 25 0 0 SENTENCE 0 26 0 0 WORDC 0 27 0 0 WORDM 0 28 0 0 ADDITION 0 0 29 0 CODE 0 0 30 0 COUNTING 0 0 31 0 STRAIGHT 0 0 32 0 WORDR 0 0 0 33 NUMBERR 0 0 0 34 FIGURER 0 0 0 35 OBJECT 0 0 0 36 NUMBERF 0 0 0 37 FIGUREW 0 0 0 38 THETA VISUAL CUBES PAPER FLAGS GENERAL ________ ________ ________ ________ ________ VISUAL 39 CUBES 0 40 PAPER 0 0 41 FLAGS 0 0 0 42 GENERAL 0 0 0 0 43 PARAGRAP 0 0 0 0 0 SENTENCE 0 0 0 0 0 WORDC 0 0 0 0 0 WORDM 0 0 0 0 0 ADDITION 0 0 0 0 0 CODE 0 0 0 0 0 COUNTING 0 0 0 0 0 STRAIGHT 0 0 0 0 0 WORDR 0 0 0 0 0 NUMBERR 0 0 0 0 0 FIGURER 0 0 0 0 0 OBJECT 0 0 0 0 0 NUMBERF 0 0 0 0 0 FIGUREW 0 0 0 0 0 THETA PARAGRAP SENTENCE WORDC WORDM ADDITION ________ ________ ________ ________ ________ PARAGRAP 44 SENTENCE 0 45 WORDC 0 0 46 WORDM 0 0 0 47 ADDITION 0 0 0 0 48 CODE 0 0 0 0 0 COUNTING 0 0 0 0 0 STRAIGHT 0 0 0 0 0 WORDR 0 0 0 0 0 NUMBERR 0 0 0 0 0 FIGURER 0 0 0 0 0 OBJECT 0 0 0 0 0 NUMBERF 0 0 0 0 0 FIGUREW 0 0 0 0 0 THETA CODE COUNTING STRAIGHT WORDR NUMBERR ________ ________ ________ ________ ________ CODE 49 COUNTING 0 50 STRAIGHT 0 0 51 WORDR 0 0 0 52 NUMBERR 0 0 0 0 53 FIGURER 0 0 0 0 0 OBJECT 0 0 0 0 0 NUMBERF 0 0 0 0 0 FIGUREW 0 0 0 0 0 THETA FIGURER OBJECT NUMBERF FIGUREW ________ ________ ________ ________ FIGURER 54 OBJECT 0 55 NUMBERF 0 0 56 FIGUREW 0 0 0 57 ALPHA SPATIAL VERBAL SPEED MEMORY ________ ________ ________ ________ 1 0 0 0 0 BETA SPATIAL VERBAL SPEED MEMORY ________ ________ ________ ________ SPATIAL 0 0 0 0 VERBAL 0 0 0 0 SPEED 0 0 0 0 MEMORY 0 0 0 0 PSI SPATIAL VERBAL SPEED MEMORY ________ ________ ________ ________ SPATIAL 0 VERBAL 58 0 SPEED 59 60 0 MEMORY 61 62 63 0 STARTING VALUES NU VISUAL CUBES PAPER FLAGS GENERAL ________ ________ ________ ________ ________ 1 4.293 5.599 5.086 1.926 3.860 NU PARAGRAP SENTENCE WORDC WORDM ADDITION ________ ________ ________ ________ ________ 1 2.958 4.068 5.282 2.182 3.805 NU CODE COUNTING STRAIGHT WORDR NUMBERR ________ ________ ________ ________ ________ 1 4.131 5.246 5.196 16.335 11.890 NU FIGURER OBJECT NUMBERF FIGUREW ________ ________ ________ ________ 1 15.256 1.583 2.103 4.253 LAMBDA SPATIAL VERBAL SPEED MEMORY ________ ________ ________ ________ VISUAL 1.000 0.000 0.000 0.000 CUBES 1.000 0.000 0.000 0.000 PAPER 1.000 0.000 0.000 0.000 FLAGS 1.000 0.000 0.000 0.000 GENERAL 0.000 1.000 0.000 0.000 PARAGRAP 0.000 1.000 0.000 0.000 SENTENCE 0.000 1.000 0.000 0.000 WORDC 0.000 1.000 0.000 0.000 WORDM 0.000 1.000 0.000 0.000 ADDITION 0.000 0.000 1.000 0.000 CODE 0.000 0.000 1.000 0.000 COUNTING 0.000 0.000 1.000 0.000 STRAIGHT 0.000 0.000 1.000 0.000 WORDR 0.000 0.000 0.000 1.000 NUMBERR 0.000 0.000 0.000 1.000 FIGURER 0.000 0.000 0.000 1.000 OBJECT 0.000 0.000 0.000 1.000 NUMBERF 0.000 0.000 0.000 1.000 FIGUREW 0.000 0.000 0.000 1.000 THETA VISUAL CUBES PAPER FLAGS GENERAL ________ ________ ________ ________ ________ VISUAL 0.503 CUBES 0.000 0.503 PAPER 0.000 0.000 0.503 FLAGS 0.000 0.000 0.000 0.503 GENERAL 0.000 0.000 0.000 0.000 0.503 PARAGRAP 0.000 0.000 0.000 0.000 0.000 SENTENCE 0.000 0.000 0.000 0.000 0.000 WORDC 0.000 0.000 0.000 0.000 0.000 WORDM 0.000 0.000 0.000 0.000 0.000 ADDITION 0.000 0.000 0.000 0.000 0.000 CODE 0.000 0.000 0.000 0.000 0.000 COUNTING 0.000 0.000 0.000 0.000 0.000 STRAIGHT 0.000 0.000 0.000 0.000 0.000 WORDR 0.000 0.000 0.000 0.000 0.000 NUMBERR 0.000 0.000 0.000 0.000 0.000 FIGURER 0.000 0.000 0.000 0.000 0.000 OBJECT 0.000 0.000 0.000 0.000 0.000 NUMBERF 0.000 0.000 0.000 0.000 0.000 FIGUREW 0.000 0.000 0.000 0.000 0.000 THETA PARAGRAP SENTENCE WORDC WORDM ADDITION ________ ________ ________ ________ ________ PARAGRAP 0.503 SENTENCE 0.000 0.503 WORDC 0.000 0.000 0.503 WORDM 0.000 0.000 0.000 0.503 ADDITION 0.000 0.000 0.000 0.000 0.503 CODE 0.000 0.000 0.000 0.000 0.000 COUNTING 0.000 0.000 0.000 0.000 0.000 STRAIGHT 0.000 0.000 0.000 0.000 0.000 WORDR 0.000 0.000 0.000 0.000 0.000 NUMBERR 0.000 0.000 0.000 0.000 0.000 FIGURER 0.000 0.000 0.000 0.000 0.000 OBJECT 0.000 0.000 0.000 0.000 0.000 NUMBERF 0.000 0.000 0.000 0.000 0.000 FIGUREW 0.000 0.000 0.000 0.000 0.000 THETA CODE COUNTING STRAIGHT WORDR NUMBERR ________ ________ ________ ________ ________ CODE 0.503 COUNTING 0.000 0.503 STRAIGHT 0.000 0.000 0.503 WORDR 0.000 0.000 0.000 0.503 NUMBERR 0.000 0.000 0.000 0.000 0.503 FIGURER 0.000 0.000 0.000 0.000 0.000 OBJECT 0.000 0.000 0.000 0.000 0.000 NUMBERF 0.000 0.000 0.000 0.000 0.000 FIGUREW 0.000 0.000 0.000 0.000 0.000 THETA FIGURER OBJECT NUMBERF FIGUREW ________ ________ ________ ________ FIGURER 0.503 OBJECT 0.000 0.503 NUMBERF 0.000 0.000 0.503 FIGUREW 0.000 0.000 0.000 0.503 ALPHA SPATIAL VERBAL SPEED MEMORY ________ ________ ________ ________ 1 0.000 0.000 0.000 0.000 BETA SPATIAL VERBAL SPEED MEMORY ________ ________ ________ ________ SPATIAL 0.000 0.000 0.000 0.000 VERBAL 0.000 0.000 0.000 0.000 SPEED 0.000 0.000 0.000 0.000 MEMORY 0.000 0.000 0.000 0.000 PSI SPATIAL VERBAL SPEED MEMORY ________ ________ ________ ________ SPATIAL 1.000 VERBAL 0.000 1.000 SPEED 0.000 0.000 1.000 MEMORY 0.000 0.000 0.000 1.000 PRIORS FOR ALL PARAMETERS PRIOR MEAN PRIOR VARIANCE PRIOR STD. DEV. Parameter 1~N(0.000,infinity) 0.0000 infinity infinity Parameter 2~N(0.000,infinity) 0.0000 infinity infinity Parameter 3~N(0.000,infinity) 0.0000 infinity infinity Parameter 4~N(0.000,infinity) 0.0000 infinity infinity Parameter 5~N(0.000,infinity) 0.0000 infinity infinity Parameter 6~N(0.000,infinity) 0.0000 infinity infinity Parameter 7~N(0.000,infinity) 0.0000 infinity infinity Parameter 8~N(0.000,infinity) 0.0000 infinity infinity Parameter 9~N(0.000,infinity) 0.0000 infinity infinity Parameter 10~N(0.000,infinity) 0.0000 infinity infinity Parameter 11~N(0.000,infinity) 0.0000 infinity infinity Parameter 12~N(0.000,infinity) 0.0000 infinity infinity Parameter 13~N(0.000,infinity) 0.0000 infinity infinity Parameter 14~N(0.000,infinity) 0.0000 infinity infinity Parameter 15~N(0.000,infinity) 0.0000 infinity infinity Parameter 16~N(0.000,infinity) 0.0000 infinity infinity Parameter 17~N(0.000,infinity) 0.0000 infinity infinity Parameter 18~N(0.000,infinity) 0.0000 infinity infinity Parameter 19~N(0.000,infinity) 0.0000 infinity infinity Parameter 20~N(0.000,infinity) 0.0000 infinity infinity Parameter 21~N(0.000,infinity) 0.0000 infinity infinity Parameter 22~N(0.000,infinity) 0.0000 infinity infinity Parameter 23~N(0.000,infinity) 0.0000 infinity infinity Parameter 24~N(0.000,infinity) 0.0000 infinity infinity Parameter 25~N(0.000,infinity) 0.0000 infinity infinity Parameter 26~N(0.000,infinity) 0.0000 infinity infinity Parameter 27~N(0.000,infinity) 0.0000 infinity infinity Parameter 28~N(0.000,infinity) 0.0000 infinity infinity Parameter 29~N(0.000,infinity) 0.0000 infinity infinity Parameter 30~N(0.000,infinity) 0.0000 infinity infinity Parameter 31~N(0.000,infinity) 0.0000 infinity infinity Parameter 32~N(0.000,infinity) 0.0000 infinity infinity Parameter 33~N(0.000,infinity) 0.0000 infinity infinity Parameter 34~N(0.000,infinity) 0.0000 infinity infinity Parameter 35~N(0.000,infinity) 0.0000 infinity infinity Parameter 36~N(0.000,infinity) 0.0000 infinity infinity Parameter 37~N(0.000,infinity) 0.0000 infinity infinity Parameter 38~N(0.000,infinity) 0.0000 infinity infinity Parameter 39~IG(-1.000,0.000) infinity infinity infinity Parameter 40~IG(-1.000,0.000) infinity infinity infinity Parameter 41~IG(-1.000,0.000) infinity infinity infinity Parameter 42~IG(-1.000,0.000) infinity infinity infinity Parameter 43~IG(-1.000,0.000) infinity infinity infinity Parameter 44~IG(-1.000,0.000) infinity infinity infinity Parameter 45~IG(-1.000,0.000) infinity infinity infinity Parameter 46~IG(-1.000,0.000) infinity infinity infinity Parameter 47~IG(-1.000,0.000) infinity infinity infinity Parameter 48~IG(-1.000,0.000) infinity infinity infinity Parameter 49~IG(-1.000,0.000) infinity infinity infinity Parameter 50~IG(-1.000,0.000) infinity infinity infinity Parameter 51~IG(-1.000,0.000) infinity infinity infinity Parameter 52~IG(-1.000,0.000) infinity infinity infinity Parameter 53~IG(-1.000,0.000) infinity infinity infinity Parameter 54~IG(-1.000,0.000) infinity infinity infinity Parameter 55~IG(-1.000,0.000) infinity infinity infinity Parameter 56~IG(-1.000,0.000) infinity infinity infinity Parameter 57~IG(-1.000,0.000) infinity infinity infinity Parameter 58~IW(0.000,-5) Parameter 59~IW(0.000,-5) Parameter 60~IW(0.000,-5) Parameter 61~IW(0.000,-5) Parameter 62~IW(0.000,-5) Parameter 63~IW(0.000,-5) TECHNICAL 8 OUTPUT E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM 1 -0.36087248D+04 0.0000000 0.0000000 EM 2 -0.34326804D+04 176.0443594 0.0487830 EM 3 -0.34326804D+04 0.0000000 0.0000000 EM TECHNICAL 8 OUTPUT FOR BAYES ESTIMATION CHAIN BSEED 1 0 2 285380 POTENTIAL PARAMETER WITH ITERATION SCALE REDUCTION HIGHEST PSR 100 1.226 51 200 1.112 11 300 1.088 59 400 1.037 33 500 1.037 56 600 1.028 58 700 1.025 56 800 1.015 24 900 1.021 39 1000 1.035 7 1100 1.041 6 1200 1.020 39 1300 1.013 6 1400 1.023 6 1500 1.014 42 1600 1.012 37 1700 1.009 11 1800 1.009 63 1900 1.021 7 2000 1.012 63 2100 1.006 63 2200 1.005 59 2300 1.012 9 2400 1.019 9 2500 1.018 9 2600 1.023 9 2700 1.018 9 2800 1.025 9 2900 1.033 9 3000 1.044 9 3100 1.037 9 3200 1.022 9 3300 1.010 9 3400 1.008 59 3500 1.008 59 3600 1.009 9 3700 1.010 9 3800 1.018 9 3900 1.010 9 4000 1.006 11 4100 1.005 12 4200 1.006 11 4300 1.005 11 4400 1.003 11 4500 1.004 34 4600 1.004 34 4700 1.004 34 4800 1.005 34 4900 1.005 34 5000 1.005 34 5100 1.008 59 5200 1.007 59 5300 1.007 59 5400 1.007 59 5500 1.006 59 5600 1.006 59 5700 1.005 51 5800 1.005 51 5900 1.004 59 6000 1.004 7 6100 1.004 7 6200 1.003 7 6300 1.003 42 6400 1.003 42 6500 1.002 42 6600 1.003 42 6700 1.003 42 6800 1.003 42 6900 1.003 42 7000 1.003 42 7100 1.003 42 7200 1.004 42 7300 1.003 42 7400 1.002 42 7500 1.003 42 7600 1.002 42 7700 1.002 42 7800 1.002 42 7900 1.003 5 8000 1.004 5 8100 1.003 5 8200 1.003 5 8300 1.004 5 8400 1.003 5 8500 1.004 5 8600 1.004 7 8700 1.005 7 8800 1.005 7 8900 1.005 9 9000 1.004 9 9100 1.003 7 9200 1.003 7 9300 1.002 7 9400 1.002 18 9500 1.002 18 9600 1.001 18 9700 1.001 18 9800 1.002 18 9900 1.003 18 10000 1.004 7 10100 1.003 18 10200 1.002 18 10300 1.002 10 10400 1.002 7 10500 1.002 18 10600 1.001 16 10700 1.002 18 10800 1.001 18 10900 1.001 18 11000 1.001 18 11100 1.001 16 11200 1.001 14 11300 1.001 14 11400 1.001 16 11500 1.001 31 11600 1.001 31 11700 1.001 16 11800 1.001 31 11900 1.001 23 12000 1.001 23 12100 1.001 23 12200 1.002 23 12300 1.002 23 12400 1.001 61 12500 1.001 23 12600 1.001 42 12700 1.001 42 12800 1.001 42 12900 1.001 42 13000 1.001 42 13100 1.001 42 13200 1.001 42 13300 1.002 42 13400 1.002 42 13500 1.002 42 13600 1.002 42 13700 1.001 42 13800 1.001 42 13900 1.001 23 14000 1.001 42 14100 1.001 42 14200 1.001 42 14300 1.001 42 14400 1.001 42 14500 1.001 51 14600 1.001 42 14700 1.001 42 14800 1.001 42 14900 1.002 51 15000 1.002 42 15100 1.001 42 15200 1.001 51 15300 1.001 51 15400 1.001 51 15500 1.001 42 15600 1.001 42 15700 1.001 42 15800 1.001 51 15900 1.001 5 16000 1.001 5 16100 1.001 63 16200 1.001 5 16300 1.001 5 16400 1.001 5 16500 1.001 5 16600 1.002 5 16700 1.002 5 16800 1.001 6 16900 1.001 5 17000 1.002 5 17100 1.002 6 17200 1.002 6 17300 1.002 7 17400 1.002 7 17500 1.002 7 17600 1.003 7 17700 1.003 7 17800 1.003 6 17900 1.002 6 18000 1.002 7 18100 1.002 7 18200 1.002 7 18300 1.001 7 18400 1.001 7 18500 1.001 51 18600 1.001 51 18700 1.001 51 18800 1.001 51 18900 1.001 51 19000 1.001 51 19100 1.001 51 19200 1.001 51 19300 1.001 51 19400 1.001 51 19500 1.002 51 19600 1.002 51 19700 1.001 51 19800 1.001 51 19900 1.001 51 20000 1.001 51 PLOT INFORMATION The following plots are available: Bayesian posterior parameter distributions Bayesian posterior parameter trace plots Bayesian autocorrelation plots Bayesian posterior predictive checking scatterplots Bayesian posterior predictive checking distribution plots Beginning Time: 12:54:11 Ending Time: 12:54:17 Elapsed Time: 00:00:06 MUTHEN & MUTHEN 3463 Stoner Ave. Los Angeles, CA 90066 Tel: (310) 391-9971 Fax: (310) 391-8971 Web: www.StatModel.com 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