Mplus VERSION 5.21 MUTHEN & MUTHEN 06/13/2013 7:28 AM 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; CLASSES = c(4) ; IDVARIABLE is ID; Analysis: TYPE=MIXTURE; estimator=mlr; 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; 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_save2.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 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. 20 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 Variables with special functions ID variable ID 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 -15767.035 H0 Scaling Correction Factor 2.038 for MLR Information Criteria Number of Free Parameters 73 Akaike (AIC) 31680.070 Bayesian (BIC) 32084.999 Sample-Size Adjusted BIC 31853.078 (n* = (n + 2) / 24) FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES BASED ON THE ESTIMATED MODEL Latent Classes 1 714.04860 0.37681 2 343.34582 0.18119 3 708.99761 0.37414 4 128.60797 0.06787 FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS BASED ON ESTIMATED POSTERIOR PROBABILITIES Latent Classes 1 714.04859 0.37681 2 343.34584 0.18119 3 708.99760 0.37414 4 128.60797 0.06787 CLASSIFICATION QUALITY Entropy 0.901 CLASSIFICATION OF INDIVIDUALS BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP Class Counts and Proportions Latent Classes 1 708 0.37361 2 338 0.17836 3 721 0.38047 4 128 0.06755 Average Latent Class Probabilities for Most Likely Latent Class Membership (Row) by Latent Class (Column) 1 2 3 4 1 0.963 0.000 0.037 0.000 2 0.000 0.937 0.054 0.010 3 0.045 0.033 0.921 0.001 4 0.000 0.024 0.005 0.971 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value Latent Class 1 Means AUDIT1 1.696 0.040 42.161 0.000 AUDIT2 1.149 0.019 60.271 0.000 AUDIT3 1.093 0.023 47.829 0.000 AUDIT4 1.024 0.005 190.605 0.000 AUDIT5 1.039 0.007 140.333 0.000 AUDIT6 1.005 0.002 437.082 0.000 AUDIT7 1.112 0.013 85.621 0.000 AUDIT8 1.049 0.008 126.400 0.000 AUDIT9 1.021 0.006 158.191 0.000 AUDIT10 1.013 0.005 199.859 0.000 SEX 0.313 0.018 17.377 0.000 Variances AUDIT1 0.534 0.022 24.767 0.000 AUDIT2 0.594 0.030 19.482 0.000 AUDIT3 0.202 0.019 10.854 0.000 AUDIT4 0.214 0.021 10.334 0.000 AUDIT5 0.219 0.012 18.509 0.000 AUDIT6 0.063 0.007 8.440 0.000 AUDIT7 0.321 0.018 18.234 0.000 AUDIT8 0.272 0.014 18.915 0.000 AUDIT9 0.150 0.012 13.043 0.000 AUDIT10 0.108 0.015 7.152 0.000 SEX 0.224 0.004 58.030 0.000 Latent Class 2 Means AUDIT1 3.897 0.045 86.306 0.000 AUDIT2 3.399 0.102 33.467 0.000 AUDIT3 3.631 0.061 59.601 0.000 AUDIT4 1.477 0.050 29.316 0.000 AUDIT5 1.570 0.044 35.685 0.000 AUDIT6 1.124 0.026 42.440 0.000 AUDIT7 1.844 0.049 37.487 0.000 AUDIT8 2.239 0.061 36.695 0.000 AUDIT9 1.297 0.032 40.845 0.000 AUDIT10 1.136 0.036 31.338 0.000 SEX 0.627 0.036 17.275 0.000 Variances AUDIT1 0.534 0.022 24.767 0.000 AUDIT2 0.594 0.030 19.482 0.000 AUDIT3 0.202 0.019 10.854 0.000 AUDIT4 0.214 0.021 10.334 0.000 AUDIT5 0.219 0.012 18.509 0.000 AUDIT6 0.063 0.007 8.440 0.000 AUDIT7 0.321 0.018 18.234 0.000 AUDIT8 0.272 0.014 18.915 0.000 AUDIT9 0.150 0.012 13.043 0.000 AUDIT10 0.108 0.015 7.152 0.000 SEX 0.224 0.004 58.030 0.000 Latent Class 3 Means AUDIT1 3.253 0.047 69.569 0.000 AUDIT2 2.001 0.050 39.657 0.000 AUDIT3 2.166 0.048 44.806 0.000 AUDIT4 1.231 0.023 54.031 0.000 AUDIT5 1.319 0.026 51.015 0.000 AUDIT6 1.021 0.007 146.756 0.000 AUDIT7 1.519 0.036 42.490 0.000 AUDIT8 1.548 0.034 45.291 0.000 AUDIT9 1.126 0.015 73.192 0.000 AUDIT10 1.054 0.010 102.848 0.000 SEX 0.337 0.020 16.992 0.000 Variances AUDIT1 0.534 0.022 24.767 0.000 AUDIT2 0.594 0.030 19.482 0.000 AUDIT3 0.202 0.019 10.854 0.000 AUDIT4 0.214 0.021 10.334 0.000 AUDIT5 0.219 0.012 18.509 0.000 AUDIT6 0.063 0.007 8.440 0.000 AUDIT7 0.321 0.018 18.234 0.000 AUDIT8 0.272 0.014 18.915 0.000 AUDIT9 0.150 0.012 13.043 0.000 AUDIT10 0.108 0.015 7.152 0.000 SEX 0.224 0.004 58.030 0.000 Latent Class 4 Means AUDIT1 4.006 0.093 43.143 0.000 AUDIT2 3.102 0.139 22.340 0.000 AUDIT3 3.509 0.092 38.281 0.000 AUDIT4 3.002 0.168 17.849 0.000 AUDIT5 2.714 0.094 29.004 0.000 AUDIT6 1.413 0.066 21.400 0.000 AUDIT7 2.953 0.090 32.833 0.000 AUDIT8 3.012 0.093 32.247 0.000 AUDIT9 1.812 0.090 20.020 0.000 AUDIT10 1.911 0.119 16.099 0.000 SEX 0.504 0.048 10.499 0.000 Variances AUDIT1 0.534 0.022 24.767 0.000 AUDIT2 0.594 0.030 19.482 0.000 AUDIT3 0.202 0.019 10.854 0.000 AUDIT4 0.214 0.021 10.334 0.000 AUDIT5 0.219 0.012 18.509 0.000 AUDIT6 0.063 0.007 8.440 0.000 AUDIT7 0.321 0.018 18.234 0.000 AUDIT8 0.272 0.014 18.915 0.000 AUDIT9 0.150 0.012 13.043 0.000 AUDIT10 0.108 0.015 7.152 0.000 SEX 0.224 0.004 58.030 0.000 Categorical Latent Variables C#1 ON SENSEEKTOT -0.065 0.018 -3.579 0.000 ALS -0.272 0.121 -2.245 0.025 URGENCY -0.710 0.127 -5.606 0.000 DTS 0.189 0.142 1.329 0.184 EFFORTFUL 0.261 0.135 1.934 0.053 C#2 ON SENSEEKTOT 0.020 0.022 0.885 0.376 ALS -0.449 0.129 -3.485 0.000 URGENCY -0.566 0.120 -4.704 0.000 DTS 0.210 0.157 1.337 0.181 EFFORTFUL -0.148 0.147 -1.006 0.314 C#3 ON SENSEEKTOT -0.027 0.019 -1.445 0.148 ALS -0.286 0.115 -2.479 0.013 URGENCY -0.651 0.118 -5.521 0.000 DTS 0.137 0.144 0.949 0.342 EFFORTFUL 0.130 0.127 1.021 0.307 Intercepts C#1 4.264 0.663 6.429 0.000 C#2 0.592 0.851 0.696 0.486 C#3 2.994 0.680 4.401 0.000 LOGISTIC REGRESSION ODDS RATIO RESULTS Categorical Latent Variables C#1 ON SENSEEKTOT 0.937 ALS 0.762 URGENCY 0.492 DTS 1.208 EFFORTFUL 1.298 C#2 ON SENSEEKTOT 1.020 ALS 0.638 URGENCY 0.568 DTS 1.234 EFFORTFUL 0.863 C#3 ON SENSEEKTOT 0.973 ALS 0.751 URGENCY 0.522 DTS 1.146 EFFORTFUL 1.139 ALTERNATIVE PARAMETERIZATIONS FOR THE CATEGORICAL LATENT VARIABLE REGRESSION Parameterization using Reference Class 1 C#2 ON SENSEEKTOT 0.085 0.012 6.872 0.000 ALS -0.178 0.095 -1.869 0.062 URGENCY 0.144 0.104 1.381 0.167 DTS 0.021 0.098 0.217 0.828 EFFORTFUL -0.409 0.104 -3.932 0.000 C#3 ON SENSEEKTOT 0.039 0.008 4.587 0.000 ALS -0.014 0.075 -0.190 0.849 URGENCY 0.059 0.094 0.628 0.530 DTS -0.053 0.083 -0.637 0.524 EFFORTFUL -0.131 0.078 -1.674 0.094 C#4 ON SENSEEKTOT 0.065 0.018 3.579 0.000 ALS 0.272 0.121 2.245 0.025 URGENCY 0.710 0.127 5.606 0.000 DTS -0.189 0.142 -1.329 0.184 EFFORTFUL -0.261 0.135 -1.934 0.053 Intercepts C#2 -3.672 0.493 -7.444 0.000 C#3 -1.270 0.291 -4.371 0.000 C#4 -4.264 0.663 -6.429 0.000 Parameterization using Reference Class 2 C#1 ON SENSEEKTOT -0.085 0.012 -6.872 0.000 ALS 0.178 0.095 1.869 0.062 URGENCY -0.144 0.104 -1.381 0.167 DTS -0.021 0.098 -0.217 0.828 EFFORTFUL 0.409 0.104 3.932 0.000 C#3 ON SENSEEKTOT -0.046 0.012 -3.745 0.000 ALS 0.163 0.096 1.694 0.090 URGENCY -0.084 0.098 -0.861 0.389 DTS -0.074 0.101 -0.731 0.465 EFFORTFUL 0.278 0.101 2.736 0.006 C#4 ON SENSEEKTOT -0.020 0.022 -0.885 0.376 ALS 0.449 0.129 3.485 0.000 URGENCY 0.566 0.120 4.704 0.000 DTS -0.210 0.157 -1.337 0.181 EFFORTFUL 0.148 0.147 1.006 0.314 Intercepts C#1 3.672 0.493 7.444 0.000 C#3 2.401 0.485 4.953 0.000 C#4 -0.592 0.851 -0.696 0.486 Parameterization using Reference Class 3 C#1 ON SENSEEKTOT -0.039 0.008 -4.587 0.000 ALS 0.014 0.075 0.190 0.849 URGENCY -0.059 0.094 -0.628 0.530 DTS 0.053 0.083 0.637 0.524 EFFORTFUL 0.131 0.078 1.674 0.094 C#2 ON SENSEEKTOT 0.046 0.012 3.745 0.000 ALS -0.163 0.096 -1.694 0.090 URGENCY 0.084 0.098 0.861 0.389 DTS 0.074 0.101 0.731 0.465 EFFORTFUL -0.278 0.101 -2.736 0.006 C#4 ON SENSEEKTOT 0.027 0.019 1.445 0.148 ALS 0.286 0.115 2.479 0.013 URGENCY 0.651 0.118 5.521 0.000 DTS -0.137 0.144 -0.949 0.342 EFFORTFUL -0.130 0.127 -1.021 0.307 Intercepts C#1 1.270 0.291 4.371 0.000 C#2 -2.401 0.485 -4.953 0.000 C#4 -2.994 0.680 -4.401 0.000 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.156E-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 3 (H0) VERSUS 4 CLASSES H0 Loglikelihood Value -16345.517 2 Times the Loglikelihood Difference 1156.963 Difference in the Number of Parameters 17 Mean 199.938 Standard Deviation 332.888 P-Value 0.0020 LO-MENDELL-RUBIN ADJUSTED LRT TEST Value 1148.015 P-Value 0.0022 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 ID CPROB1 CPROB2 CPROB3 CPROB4 C Save file lca1_save2.txt Save file format Free Save file record length 5000 Beginning Time: 07:28:57 Ending Time: 07:29:00 Elapsed Time: 00:00:03 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) 1998-2009 Muthen & Muthen