Mplus VERSION 5.21 MUTHEN & MUTHEN 06/11/2013 1:53 PM INPUT INSTRUCTIONS Title: Stata2Mplus conversion for c:\users\owner\desktop\eraud\lca_audit.dta List of variables converted shown below audit1 : How often do you have a drink containing alcohol? audit2 : How many drinks containing alcohol do you have on a typical day when you are dr audit3 : How often do you have six or more drinks on one occasion? audit4 : How often during the last year have you found that you were not able to stop dr audit5 : How often during the last year have you failed to do what was normally expected audit6 : How often during the last year have you needed a first drink in the morning to audit7 : How often during the last year have you had a feeling of guilt or remorse after audit8 : How often during the last year have you been unable to remember what happened t audit9 : Have you or someone else been injured because of your drinking? audit10 : Has a relative, friend, doctor, or other health care worker been concerned abo sex : age : What is your age? ID : RespondentID missing : ALS : mean(standardized items) urgency : mean(standardized items) DTS : mean(standardized items) effortful : senseektot : Data: File is c:\users\owner\desktop\eraud\lca_audit.dat ; Variable: Names are ID age audit1 audit2 audit3 audit4 audit5 audit6 audit7 audit8 audit9 audit10 sex missing senseektot ALS urgency DTS effortful; Missing are all (-9999) ; Usevariables are audit1 audit2 audit3 audit4 audit5 audit6 audit7 audit8 audit9 audit10 sex senseektot ALS urgency DTS effortful; useobs are audit6<4; CLASSES = c(5) ; Analysis: TYPE=MIXTURE; estimator=wlsmv; processor=4; starts=0; Model: %overall% c#1 on senseektot ALS urgency DTS effortful; c#2 on senseektot ALS urgency DTS effortful; c#3 on senseektot ALS urgency DTS effortful; c#4 on senseektot ALS urgency DTS effortful; Plot: type is plot3; series is audit1 (1) audit2 (2) audit3 (3) audit4 (4) audit5 (5) audit6 (6) audit7 (7) audit8 (8) audit9 (9) audit10 (10); Savedata: file is lca1_save.txt ; save is cprob ; format is free; output: tech11 ; *** WARNING Input line exceeded 90 characters. Some input may be truncated. audit2 : How many drinks containing alcohol do you have on a typical day when you are *** WARNING Input line exceeded 90 characters. Some input may be truncated. audit4 : How often during the last year have you found that you were not able to stop *** WARNING Input line exceeded 90 characters. Some input may be truncated. audit6 : How often during the last year have you needed a first drink in the morning t *** WARNING Input line exceeded 90 characters. Some input may be truncated. audit8 : How often during the last year have you been unable to remember what happened *** WARNING Input line exceeded 90 characters. Some input may be truncated. audit10 : Has a relative, friend, doctor, or other health care worker been concerned a *** WARNING Variable name contains more than 8 characters. Only the first 8 characters will be printed in the output. Variable: SENSEEKTOT *** WARNING Variable name contains more than 8 characters. Only the first 8 characters will be printed in the output. Variable: EFFORTFUL *** WARNING in ANALYSIS command Estimator WLSMV is not allowed with TYPE=MIXTURE. Default will be used. *** WARNING in MODEL command Variable is uncorrelated with all other variables within class: AUDIT1 *** WARNING in MODEL command Variable is uncorrelated with all other variables within class: AUDIT2 *** WARNING in MODEL command Variable is uncorrelated with all other variables within class: AUDIT3 *** WARNING in MODEL command Variable is uncorrelated with all other variables within class: AUDIT4 *** WARNING in MODEL command Variable is uncorrelated with all other variables within class: AUDIT5 *** WARNING in MODEL command Variable is uncorrelated with all other variables within class: AUDIT6 *** WARNING in MODEL command Variable is uncorrelated with all other variables within class: AUDIT7 *** WARNING in MODEL command Variable is uncorrelated with all other variables within class: AUDIT8 *** WARNING in MODEL command Variable is uncorrelated with all other variables within class: AUDIT9 *** WARNING in MODEL command Variable is uncorrelated with all other variables within class: AUDIT10 *** WARNING in MODEL command Variable is uncorrelated with all other variables within class: SEX *** WARNING in MODEL command All least one variable is uncorrelated with all other variables within class. Check that this is what is intended. *** WARNING in PLOT command Note that only the first 8 characters of variable names are used in plots. If variable names are not unique within the first 8 characters, problems may occur. 21 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS Stata2Mplus conversion for c:\users\owner\desktop\eraud\lca_audit.dta List of variables converted shown below audit1 : How often do you have a drink containing alcohol? audit2 : How many drinks containing alcohol do you have on a typical day when you are dr audit3 : How often do you have six or more drinks on one occasion? audit4 : How often during the last year have you found that you were not able to stop dr audit5 : How often during the last year have you failed to do what was normally expected audit6 : How often during the last year have you needed a first drink in the morning to audit7 : How often during the last year have you had a feeling of guilt or remorse after audit8 : How often during the last year have you been unable to remember what happened t audit9 : Have you or someone else been injured because of your drinking? audit10 : Has a relative, friend, doctor, or other health care worker been concerned abo sex : age : What is your age? ID : RespondentID missing : ALS : mean(standardized items) urgency : mean(standardized items) DTS : mean(standardized items) effortful : senseektot : SUMMARY OF ANALYSIS Number of groups 1 Number of observations 1895 Number of dependent variables 11 Number of independent variables 5 Number of continuous latent variables 0 Number of categorical latent variables 1 Observed dependent variables Continuous AUDIT1 AUDIT2 AUDIT3 AUDIT4 AUDIT5 AUDIT6 AUDIT7 AUDIT8 AUDIT9 AUDIT10 SEX Observed independent variables SENSEEKT ALS URGENCY DTS EFFORTFU Categorical latent variables C Estimator MLR Information matrix OBSERVED Optimization Specifications for the Quasi-Newton Algorithm for Continuous Outcomes Maximum number of iterations 100 Convergence criterion 0.100D-05 Optimization Specifications for the EM Algorithm Maximum number of iterations 500 Convergence criteria Loglikelihood change 0.100D-06 Relative loglikelihood change 0.100D-06 Derivative 0.100D-05 Optimization Specifications for the M step of the EM Algorithm for Categorical Latent variables Number of M step iterations 1 M step convergence criterion 0.100D-05 Basis for M step termination ITERATION Optimization Specifications for the M step of the EM Algorithm for Censored, Binary or Ordered Categorical (Ordinal), Unordered Categorical (Nominal) and Count Outcomes Number of M step iterations 1 M step convergence criterion 0.100D-05 Basis for M step termination ITERATION Maximum value for logit thresholds 15 Minimum value for logit thresholds -15 Minimum expected cell size for chi-square 0.100D-01 Maximum number of iterations for H1 2000 Convergence criterion for H1 0.100D-03 Optimization algorithm EMA Input data file(s) c:\users\owner\desktop\eraud\lca_audit.dat Input data format FREE SUMMARY OF DATA Number of missing data patterns 1 Number of y missing data patterns 1 Number of u missing data patterns 0 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT FOR Y Covariance Coverage AUDIT1 AUDIT2 AUDIT3 AUDIT4 AUDIT5 ________ ________ ________ ________ ________ AUDIT1 1.000 AUDIT2 1.000 1.000 AUDIT3 1.000 1.000 1.000 AUDIT4 1.000 1.000 1.000 1.000 AUDIT5 1.000 1.000 1.000 1.000 1.000 AUDIT6 1.000 1.000 1.000 1.000 1.000 AUDIT7 1.000 1.000 1.000 1.000 1.000 AUDIT8 1.000 1.000 1.000 1.000 1.000 AUDIT9 1.000 1.000 1.000 1.000 1.000 AUDIT10 1.000 1.000 1.000 1.000 1.000 SEX 1.000 1.000 1.000 1.000 1.000 SENSEEKT 1.000 1.000 1.000 1.000 1.000 ALS 1.000 1.000 1.000 1.000 1.000 URGENCY 1.000 1.000 1.000 1.000 1.000 DTS 1.000 1.000 1.000 1.000 1.000 EFFORTFU 1.000 1.000 1.000 1.000 1.000 Covariance Coverage AUDIT6 AUDIT7 AUDIT8 AUDIT9 AUDIT10 ________ ________ ________ ________ ________ AUDIT6 1.000 AUDIT7 1.000 1.000 AUDIT8 1.000 1.000 1.000 AUDIT9 1.000 1.000 1.000 1.000 AUDIT10 1.000 1.000 1.000 1.000 1.000 SEX 1.000 1.000 1.000 1.000 1.000 SENSEEKT 1.000 1.000 1.000 1.000 1.000 ALS 1.000 1.000 1.000 1.000 1.000 URGENCY 1.000 1.000 1.000 1.000 1.000 DTS 1.000 1.000 1.000 1.000 1.000 EFFORTFU 1.000 1.000 1.000 1.000 1.000 Covariance Coverage SEX SENSEEKT ALS URGENCY DTS ________ ________ ________ ________ ________ SEX 1.000 SENSEEKT 1.000 1.000 ALS 1.000 1.000 1.000 URGENCY 1.000 1.000 1.000 1.000 DTS 1.000 1.000 1.000 1.000 1.000 EFFORTFU 1.000 1.000 1.000 1.000 1.000 Covariance Coverage EFFORTFU ________ EFFORTFU 1.000 THE MODEL ESTIMATION TERMINATED NORMALLY TESTS OF MODEL FIT Loglikelihood H0 Value -15725.238 H0 Scaling Correction Factor 1.814 for MLR Information Criteria Number of Free Parameters 90 Akaike (AIC) 31630.477 Bayesian (BIC) 32129.705 Sample-Size Adjusted BIC 31843.775 (n* = (n + 2) / 24) FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES BASED ON THE ESTIMATED MODEL Latent Classes 1 206.30666 0.10887 2 528.92473 0.27912 3 702.69319 0.37081 4 327.91301 0.17304 5 129.16240 0.06816 FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS BASED ON ESTIMATED POSTERIOR PROBABILITIES Latent Classes 1 206.30668 0.10887 2 528.92473 0.27912 3 702.69320 0.37081 4 327.91299 0.17304 5 129.16241 0.06816 CLASSIFICATION QUALITY Entropy 0.865 CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP Class Counts and Proportions Latent Classes 1 216 0.11398 2 505 0.26649 3 722 0.38100 4 324 0.17098 5 128 0.06755 Average Latent Class Probabilities for Most Likely Latent Class Membership (Row) by Latent Class (Column) 1 2 3 4 5 1 0.845 0.137 0.019 0.000 0.000 2 0.029 0.932 0.039 0.000 0.000 3 0.013 0.040 0.914 0.031 0.002 4 0.000 0.000 0.056 0.933 0.011 5 0.000 0.000 0.005 0.023 0.972 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value Latent Class 1 Means AUDIT1 1.465 0.081 18.070 0.000 AUDIT2 1.107 0.029 37.769 0.000 AUDIT3 1.095 0.036 30.494 0.000 AUDIT4 1.012 0.006 157.931 0.000 AUDIT5 1.022 0.009 117.023 0.000 AUDIT6 1.009 0.006 162.115 0.000 AUDIT7 1.056 0.016 65.020 0.000 AUDIT8 1.010 0.004 233.318 0.000 AUDIT9 1.027 0.013 81.898 0.000 AUDIT10 1.012 0.010 99.320 0.000 SEX 0.934 0.020 45.812 0.000 Variances AUDIT1 0.527 0.023 23.150 0.000 AUDIT2 0.593 0.030 19.542 0.000 AUDIT3 0.208 0.022 9.495 0.000 AUDIT4 0.215 0.023 9.236 0.000 AUDIT5 0.219 0.012 18.323 0.000 AUDIT6 0.062 0.008 8.197 0.000 AUDIT7 0.321 0.017 18.406 0.000 AUDIT8 0.271 0.014 18.844 0.000 AUDIT9 0.150 0.012 13.025 0.000 AUDIT10 0.107 0.017 6.461 0.000 SEX 0.163 0.012 13.277 0.000 Latent Class 2 Means AUDIT1 1.820 0.052 34.881 0.000 AUDIT2 1.180 0.025 47.427 0.000 AUDIT3 1.121 0.032 35.116 0.000 AUDIT4 1.031 0.007 142.900 0.000 AUDIT5 1.048 0.010 109.428 0.000 AUDIT6 1.003 0.002 480.012 0.000 AUDIT7 1.140 0.016 69.125 0.000 AUDIT8 1.069 0.012 91.520 0.000 AUDIT9 1.020 0.007 150.104 0.000 AUDIT10 1.014 0.005 184.587 0.000 SEX 0.065 0.019 3.373 0.001 Variances AUDIT1 0.527 0.023 23.150 0.000 AUDIT2 0.593 0.030 19.542 0.000 AUDIT3 0.208 0.022 9.495 0.000 AUDIT4 0.215 0.023 9.236 0.000 AUDIT5 0.219 0.012 18.323 0.000 AUDIT6 0.062 0.008 8.197 0.000 AUDIT7 0.321 0.017 18.406 0.000 AUDIT8 0.271 0.014 18.844 0.000 AUDIT9 0.150 0.012 13.025 0.000 AUDIT10 0.107 0.017 6.461 0.000 SEX 0.163 0.012 13.277 0.000 Latent Class 3 Means AUDIT1 3.280 0.053 61.829 0.000 AUDIT2 2.031 0.057 35.408 0.000 AUDIT3 2.195 0.055 40.192 0.000 AUDIT4 1.239 0.025 50.493 0.000 AUDIT5 1.331 0.029 46.657 0.000 AUDIT6 1.021 0.008 122.785 0.000 AUDIT7 1.537 0.040 38.325 0.000 AUDIT8 1.569 0.040 38.935 0.000 AUDIT9 1.130 0.016 69.426 0.000 AUDIT10 1.056 0.012 91.018 0.000 SEX 0.337 0.023 14.557 0.000 Variances AUDIT1 0.527 0.023 23.150 0.000 AUDIT2 0.593 0.030 19.542 0.000 AUDIT3 0.208 0.022 9.495 0.000 AUDIT4 0.215 0.023 9.236 0.000 AUDIT5 0.219 0.012 18.323 0.000 AUDIT6 0.062 0.008 8.197 0.000 AUDIT7 0.321 0.017 18.406 0.000 AUDIT8 0.271 0.014 18.844 0.000 AUDIT9 0.150 0.012 13.025 0.000 AUDIT10 0.107 0.017 6.461 0.000 SEX 0.163 0.012 13.277 0.000 Latent Class 4 Means AUDIT1 3.913 0.048 82.078 0.000 AUDIT2 3.432 0.112 30.550 0.000 AUDIT3 3.661 0.068 53.647 0.000 AUDIT4 1.482 0.055 26.948 0.000 AUDIT5 1.567 0.045 34.780 0.000 AUDIT6 1.128 0.028 40.546 0.000 AUDIT7 1.838 0.052 35.634 0.000 AUDIT8 2.251 0.063 35.706 0.000 AUDIT9 1.301 0.033 39.820 0.000 AUDIT10 1.136 0.039 29.174 0.000 SEX 0.653 0.047 14.044 0.000 Variances AUDIT1 0.527 0.023 23.150 0.000 AUDIT2 0.593 0.030 19.542 0.000 AUDIT3 0.208 0.022 9.495 0.000 AUDIT4 0.215 0.023 9.236 0.000 AUDIT5 0.219 0.012 18.323 0.000 AUDIT6 0.062 0.008 8.197 0.000 AUDIT7 0.321 0.017 18.406 0.000 AUDIT8 0.271 0.014 18.844 0.000 AUDIT9 0.150 0.012 13.025 0.000 AUDIT10 0.107 0.017 6.461 0.000 SEX 0.163 0.012 13.277 0.000 Latent Class 5 Means AUDIT1 4.003 0.108 36.925 0.000 AUDIT2 3.095 0.155 19.987 0.000 AUDIT3 3.504 0.109 32.063 0.000 AUDIT4 2.994 0.190 15.754 0.000 AUDIT5 2.713 0.097 28.030 0.000 AUDIT6 1.413 0.069 20.346 0.000 AUDIT7 2.949 0.094 31.450 0.000 AUDIT8 3.008 0.104 29.018 0.000 AUDIT9 1.811 0.090 20.145 0.000 AUDIT10 1.914 0.126 15.194 0.000 SEX 0.500 0.049 10.184 0.000 Variances AUDIT1 0.527 0.023 23.150 0.000 AUDIT2 0.593 0.030 19.542 0.000 AUDIT3 0.208 0.022 9.495 0.000 AUDIT4 0.215 0.023 9.236 0.000 AUDIT5 0.219 0.012 18.323 0.000 AUDIT6 0.062 0.008 8.197 0.000 AUDIT7 0.321 0.017 18.406 0.000 AUDIT8 0.271 0.014 18.844 0.000 AUDIT9 0.150 0.012 13.025 0.000 AUDIT10 0.107 0.017 6.461 0.000 SEX 0.163 0.012 13.277 0.000 Categorical Latent Variables C#1 ON SENSEEKTOT -0.030 0.022 -1.402 0.161 ALS -0.476 0.168 -2.832 0.005 URGENCY -0.430 0.177 -2.430 0.015 DTS 0.284 0.183 1.550 0.121 EFFORTFUL 0.381 0.182 2.095 0.036 C#2 ON SENSEEKTOT -0.079 0.020 -3.898 0.000 ALS -0.184 0.129 -1.427 0.154 URGENCY -0.852 0.141 -6.041 0.000 DTS 0.150 0.155 0.963 0.335 EFFORTFUL 0.199 0.145 1.371 0.170 C#3 ON SENSEEKTOT -0.025 0.021 -1.211 0.226 ALS -0.275 0.117 -2.357 0.018 URGENCY -0.654 0.120 -5.461 0.000 DTS 0.137 0.152 0.899 0.368 EFFORTFUL 0.123 0.131 0.935 0.350 C#4 ON SENSEEKTOT 0.022 0.025 0.877 0.381 ALS -0.460 0.133 -3.451 0.001 URGENCY -0.566 0.124 -4.553 0.000 DTS 0.229 0.167 1.372 0.170 EFFORTFUL -0.171 0.159 -1.075 0.282 Intercepts C#1 1.828 0.785 2.329 0.020 C#2 4.384 0.735 5.966 0.000 C#3 2.918 0.765 3.816 0.000 C#4 0.450 0.985 0.456 0.648 LOGISTIC REGRESSION ODDS RATIO RESULTS Categorical Latent Variables C#1 ON SENSEEKTOT 0.970 ALS 0.621 URGENCY 0.650 DTS 1.328 EFFORTFUL 1.464 C#2 ON SENSEEKTOT 0.924 ALS 0.832 URGENCY 0.427 DTS 1.161 EFFORTFUL 1.221 C#3 ON SENSEEKTOT 0.975 ALS 0.760 URGENCY 0.520 DTS 1.146 EFFORTFUL 1.131 C#4 ON SENSEEKTOT 1.022 ALS 0.631 URGENCY 0.568 DTS 1.257 EFFORTFUL 0.843 ALTERNATIVE PARAMETERIZATIONS FOR THE CATEGORICAL LATENT VARIABLE REGRESSION Parameterization using Reference Class 1 C#2 ON SENSEEKTOT -0.049 0.013 -3.824 0.000 ALS 0.292 0.160 1.824 0.068 URGENCY -0.422 0.191 -2.204 0.028 DTS -0.134 0.158 -0.847 0.397 EFFORTFUL -0.182 0.170 -1.070 0.285 C#3 ON SENSEEKTOT 0.005 0.012 0.427 0.669 ALS 0.201 0.143 1.407 0.160 URGENCY -0.224 0.162 -1.381 0.167 DTS -0.147 0.141 -1.042 0.298 EFFORTFUL -0.259 0.146 -1.770 0.077 C#4 ON SENSEEKTOT 0.052 0.016 3.321 0.001 ALS 0.015 0.156 0.099 0.921 URGENCY -0.135 0.163 -0.833 0.405 DTS -0.055 0.152 -0.359 0.719 EFFORTFUL -0.552 0.155 -3.553 0.000 C#5 ON SENSEEKTOT 0.030 0.022 1.402 0.161 ALS 0.476 0.168 2.832 0.005 URGENCY 0.430 0.177 2.430 0.015 DTS -0.284 0.183 -1.550 0.121 EFFORTFUL -0.381 0.182 -2.095 0.036 Intercepts C#2 2.556 0.454 5.633 0.000 C#3 1.091 0.447 2.440 0.015 C#4 -1.378 0.659 -2.091 0.037 C#5 -1.828 0.785 -2.329 0.020 Parameterization using Reference Class 2 C#1 ON SENSEEKTOT 0.049 0.013 3.824 0.000 ALS -0.292 0.160 -1.824 0.068 URGENCY 0.422 0.191 2.204 0.028 DTS 0.134 0.158 0.847 0.397 EFFORTFUL 0.182 0.170 1.070 0.285 C#3 ON SENSEEKTOT 0.054 0.010 5.580 0.000 ALS -0.091 0.084 -1.073 0.283 URGENCY 0.198 0.111 1.786 0.074 DTS -0.013 0.094 -0.137 0.891 EFFORTFUL -0.077 0.090 -0.853 0.394 C#4 ON SENSEEKTOT 0.101 0.014 7.196 0.000 ALS -0.276 0.106 -2.607 0.009 URGENCY 0.286 0.124 2.309 0.021 DTS 0.079 0.110 0.723 0.470 EFFORTFUL -0.370 0.123 -3.002 0.003 C#5 ON SENSEEKTOT 0.079 0.020 3.898 0.000 ALS 0.184 0.129 1.427 0.154 URGENCY 0.852 0.141 6.041 0.000 DTS -0.150 0.155 -0.963 0.335 EFFORTFUL -0.199 0.145 -1.371 0.170 Intercepts C#1 -2.556 0.454 -5.633 0.000 C#3 -1.465 0.334 -4.381 0.000 C#4 -3.934 0.568 -6.930 0.000 C#5 -4.384 0.735 -5.966 0.000 Parameterization using Reference Class 3 C#1 ON SENSEEKTOT -0.005 0.012 -0.427 0.669 ALS -0.201 0.143 -1.407 0.160 URGENCY 0.224 0.162 1.381 0.167 DTS 0.147 0.141 1.042 0.298 EFFORTFUL 0.259 0.146 1.770 0.077 C#2 ON SENSEEKTOT -0.054 0.010 -5.580 0.000 ALS 0.091 0.084 1.073 0.283 URGENCY -0.198 0.111 -1.786 0.074 DTS 0.013 0.094 0.137 0.891 EFFORTFUL 0.077 0.090 0.853 0.394 C#4 ON SENSEEKTOT 0.047 0.013 3.628 0.000 ALS -0.186 0.103 -1.807 0.071 URGENCY 0.088 0.104 0.850 0.395 DTS 0.092 0.105 0.883 0.377 EFFORTFUL -0.294 0.109 -2.694 0.007 C#5 ON SENSEEKTOT 0.025 0.021 1.211 0.226 ALS 0.275 0.117 2.357 0.018 URGENCY 0.654 0.120 5.461 0.000 DTS -0.137 0.152 -0.899 0.368 EFFORTFUL -0.123 0.131 -0.935 0.350 Intercepts C#1 -1.091 0.447 -2.440 0.015 C#2 1.465 0.334 4.381 0.000 C#4 -2.469 0.518 -4.763 0.000 C#5 -2.918 0.765 -3.816 0.000 Parameterization using Reference Class 4 C#1 ON SENSEEKTOT -0.052 0.016 -3.321 0.001 ALS -0.015 0.156 -0.099 0.921 URGENCY 0.135 0.163 0.833 0.405 DTS 0.055 0.152 0.359 0.719 EFFORTFUL 0.552 0.155 3.553 0.000 C#2 ON SENSEEKTOT -0.101 0.014 -7.196 0.000 ALS 0.276 0.106 2.607 0.009 URGENCY -0.286 0.124 -2.309 0.021 DTS -0.079 0.110 -0.723 0.470 EFFORTFUL 0.370 0.123 3.002 0.003 C#3 ON SENSEEKTOT -0.047 0.013 -3.628 0.000 ALS 0.186 0.103 1.807 0.071 URGENCY -0.088 0.104 -0.850 0.395 DTS -0.092 0.105 -0.883 0.377 EFFORTFUL 0.294 0.109 2.694 0.007 C#5 ON SENSEEKTOT -0.022 0.025 -0.877 0.381 ALS 0.460 0.133 3.451 0.001 URGENCY 0.566 0.124 4.553 0.000 DTS -0.229 0.167 -1.372 0.170 EFFORTFUL 0.171 0.159 1.075 0.282 Intercepts C#1 1.378 0.659 2.091 0.037 C#2 3.934 0.568 6.930 0.000 C#3 2.469 0.518 4.763 0.000 C#5 -0.450 0.985 -0.456 0.648 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.247E-06 (ratio of smallest to largest eigenvalue) TECHNICAL 11 OUTPUT Random Starts Specifications for the k-1 Class Analysis Model Number of initial stage random starts 0 Number of final stage optimizations 0 VUONG-LO-MENDELL-RUBIN LIKELIHOOD RATIO TEST FOR 4 (H0) VERSUS 5 CLASSES H0 Loglikelihood Value -15767.035 2 Times the Loglikelihood Difference 83.593 Difference in the Number of Parameters 17 Mean 143.438 Standard Deviation 174.208 P-Value 0.5018 LO-MENDELL-RUBIN ADJUSTED LRT TEST Value 82.947 P-Value 0.5043 PLOT INFORMATION The following plots are available: Histograms (sample values, estimated values) Scatterplots (sample values, estimated values) Sample means Estimated means Sample and estimated means Adjusted estimated means Observed individual values Estimated individual values Estimated means and observed individual values Estimated means and estimated individual values Adjusted estimated means and observed individual values Adjusted estimated means and estimated individual values Mixture distributions Estimated probabilities for a categorical latent variable as a function of its covariates SAVEDATA INFORMATION Order of variables AUDIT1 AUDIT2 AUDIT3 AUDIT4 AUDIT5 AUDIT6 AUDIT7 AUDIT8 AUDIT9 AUDIT10 SEX SENSEEKT ALS URGENCY DTS EFFORTFU CPROB1 CPROB2 CPROB3 CPROB4 CPROB5 C Save file lca1_save.txt Save file format Free Save file record length 5000 Beginning Time: 13:53:20 Ending Time: 13:53:25 Elapsed Time: 00:00:05 MUTHEN & MUTHEN 3463 Stoner Ave. Los Angeles, CA 90066 Tel: (310) 391-9971 Fax: (310) 391-8971 Web: www.StatModel.com Support: Support@StatModel.com Copyright (c) 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