--------------------------------------------------------------------------------------------------------------------------- name: log: C:\Users\tneilands\Box Sync\My Documents\CAPS\Methods Core\Presentations\Missing Data 2015\Part 1\Example 1 an > d 2\Tobacco_Bar_Planned_Missingness_Study_FIML.log log type: text opened on: 13 Feb 2015, 14:43:55 . . set more off . . use addict_demo3.dta, clear . . // The simplest way to start exploring amounts of missingness with Stata . // is to use the -summarize- command . . summarize venueid smokdays age race male lgbtcat /// > srsmokr ntwrksmk extrindx addict Variable | Obs Mean Std. Dev. Min Max -------------+-------------------------------------------------------- venueid | 1217 109.8168 6.232353 95 119 smokdays | 1145 6.739738 10.59829 0 30 age | 1217 23.49466 1.601863 18 26 race | 1207 2.053024 1.362433 1 5 male | 1217 .5505341 .4976442 0 1 -------------+-------------------------------------------------------- lgbtcat | 1212 1.309406 .7662216 1 4 srsmokr | 858 .3041958 .4603343 0 1 ntwrksmk | 616 4.771104 2.723199 0 12 extrindx | 801 3.514357 1.617129 0 6 addict | 1207 .076222 .265463 0 1 . . // Use Stata built-in command -misstable- to summarize missing data patterns . . misstable summarize venueid smokdays age race male lgbtcat /// > srsmokr ntwrksmk extrindx addict, all Obs<. +------------------------------ | | Unique Variable | Obs=. Obs>. Obs<. | values Min Max -------------+--------------------------------+------------------------------ venueid | 1,217 | 23 95 119 smokdays | 72 1,145 | 26 0 30 age | 1,217 | 9 18 26 race | 10 1,207 | 5 1 5 male | 1,217 | 2 0 1 lgbtcat | 5 1,212 | 4 1 4 srsmokr | 359 858 | 2 0 1 ntwrksmk | 601 616 | 13 0 12 extrindx | 416 801 | 7 0 6 addict | 10 1,207 | 2 0 1 ----------------------------------------------------------------------------- . . // Scott Long's -misschk- is an alternative for describing missing data patterns . . misschk venueid smokdays age race male lgbtcat /// > srsmokr ntwrksmk extrindx addict, help Variables examined for missing values # Variable # Missing % Missing -------------------------------------------- 1 venueid 0 0.0 2 smokdays 72 5.9 3 age 0 0.0 4 race 10 0.8 5 male 0 0.0 6 lgbtcat 5 0.4 7 srsmokr 359 29.5 8 ntwrksmk 601 49.4 9 extrindx 416 34.2 10 addict 10 0.8 Warning: this output does not differentiate among extended missing. To generate patterns for extended missing, use extmiss option. The columns in the table below correspond to the # in the table above. If a column is blank, there were no missing cases for that variable. Missing for | which | variables? | Freq. Percent Cum. -------------+----------------------------------- _2_4_ _7___ | 1 0.08 0.08 _2_4_ __8__ | 1 0.08 0.16 _2___ _78__ | 1 0.08 0.25 _2___ _7_9_ | 3 0.25 0.49 _2___ _7___ | 9 0.74 1.23 _2___ __89_ | 12 0.99 2.22 _2___ __8__ | 26 2.14 4.35 _2___ ___9_ | 19 1.56 5.92 ___4_ _7___ | 1 0.08 6.00 ___4_ __8__ | 5 0.41 6.41 ___4_ ___9_ | 2 0.16 6.57 _____ 67_9_ | 1 0.08 6.66 _____ 6_8__ | 3 0.25 6.90 _____ 6__9_ | 1 0.08 6.98 _____ _789_ | 7 0.58 7.56 _____ _78_0 | 1 0.08 7.64 _____ _78__ | 40 3.29 10.93 _____ _7_9_ | 30 2.47 13.39 _____ _7__0 | 1 0.08 13.48 _____ _7___ | 264 21.69 35.17 _____ __890 | 1 0.08 35.25 _____ __89_ | 56 4.60 39.85 _____ __8_0 | 4 0.33 40.18 _____ __8__ | 444 36.48 76.66 _____ ___90 | 3 0.25 76.91 _____ ___9_ | 281 23.09 100.00 -------------+----------------------------------- Total | 1,217 100.00 Table indicates the number of variables for which an observation has missing data. Missing for | how many | variables? | Freq. Percent Cum. ------------+----------------------------------- 1 | 989 81.27 81.27 2 | 200 16.43 97.70 3 | 28 2.30 100.00 ------------+----------------------------------- Total | 1,217 100.00 . . // Try running OLS regression. . . capture noisily regress smokdays age i.race male i.lgbtcat srsmokr ntwrksmk extrindx, /// > vce(cluster venueid) no observations . . // OLS regression reports no observations? Why? Intersection of planned . // missingness patterns means 0 observations in common for . // variables srsmokr ntwrksmk extrindx . . misstable patterns srsmokr ntwrksmk extrindx, freq Missing-value patterns (1 means complete) | Pattern Frequency | 1 2 3 ------------+------------- 0 | 1 1 1 | 483 | 1 1 0 306 | 1 0 1 276 | 0 1 1 69 | 1 0 0 42 | 0 1 0 34 | 0 0 1 7 | 0 0 0 ------------+------------- 1,217 | Variables are (1) srsmokr (2) extrindx (3) ntwrksmk . . // Example 1: SEM using FIML estimation method can handle this design easily for . // continuous outcomes . . xi: sem (smokdays <- age i.race male i.lgbtcat srsmokr ntwrksmk extrindx), /// > method(mlmv) i.race _Irace_1-5 (naturally coded; _Irace_1 omitted) i.lgbtcat _Ilgbtcat_1-4 (naturally coded; _Ilgbtcat_1 omitted) note: Missing values found in observed exogenous variables. Using the noxconditional behavior. Specify the forcexconditional option to override this behavior. Endogenous variables Observed: smokdays Exogenous variables Observed: age _Irace_2 _Irace_3 _Irace_4 _Irace_5 male _Ilgbtcat_2 _Ilgbtcat_3 _Ilgbtcat_4 srsmokr ntwrksmk extrindx Fitting saturated model: Iteration 0: log likelihood = -12501.976 Iteration 1: log likelihood = -11956.857 Iteration 2: log likelihood = -11567.184 Iteration 3: log likelihood = -11485.075 Iteration 4: log likelihood = -11468.278 Iteration 5: log likelihood = -11467.53 Iteration 6: log likelihood = -11467.526 Iteration 7: log likelihood = -11467.526 Fitting baseline model: Iteration 0: log likelihood = -11735.573 Iteration 1: log likelihood = -11734.859 Iteration 2: log likelihood = -11734.857 Iteration 3: log likelihood = -11734.857 Fitting target model: Iteration 0: log likelihood = -11467.526 Iteration 1: log likelihood = -11467.526 Structural equation model Number of obs = 1217 Estimation method = mlmv Log likelihood = -11467.526 --------------------------------------------------------------------------------------------- | OIM | Coef. Std. Err. z P>|z| [95% Conf. Interval] ----------------------------+---------------------------------------------------------------- Structural | smokdays <- | age | .1052763 .1590239 0.66 0.508 -.2064049 .4169575 _Irace_2 | -.9434389 .6322401 -1.49 0.136 -2.182607 .2957289 _Irace_3 | .8152365 1.172851 0.70 0.487 -1.48351 3.113983 _Irace_4 | -.5970805 .8179695 -0.73 0.465 -2.200271 1.00611 _Irace_5 | 1.098134 .9207206 1.19 0.233 -.7064451 2.902713 male | .1940562 .5234301 0.37 0.711 -.8318479 1.21996 _Ilgbtcat_2 | -2.748739 .9897335 -2.78 0.005 -4.688581 -.8088975 _Ilgbtcat_3 | 3.05217 1.152908 2.65 0.008 .792511 5.311829 _Ilgbtcat_4 | 2.999606 1.250676 2.40 0.016 .5483268 5.450886 srsmokr | 14.42818 .6714744 21.49 0.000 13.11211 15.74424 ntwrksmk | .4142752 .1499562 2.76 0.006 .1203664 .708184 extrindx | -.037437 .2111404 -0.18 0.859 -.4512646 .3763906 _cons | -1.894062 3.97115 -0.48 0.633 -9.677374 5.889249 ----------------------------+---------------------------------------------------------------- mean(age)| 23.49466 .0458988 511.88 0.000 23.4047 23.58462 mean(_Irace_2)| .2261983 .0120421 18.78 0.000 .2025963 .2498003 mean(_Irace_3)| .0504805 .0063055 8.01 0.000 .0381218 .0628391 mean(_Irace_4)| .1225923 .0094412 12.98 0.000 .1040878 .1410967 mean(_Irace_5)| .0896628 .0082167 10.91 0.000 .0735584 .1057673 mean(male)| .5505341 .0142592 38.61 0.000 .5225866 .5784816 mean(_Ilgbtcat_2)| .067636 .0072139 9.38 0.000 .0534971 .0817749 mean(_Ilgbtcat_3)| .0552593 .0065637 8.42 0.000 .0423946 .0681239 mean(_Ilgbtcat_4)| .0436992 .0058739 7.44 0.000 .0321867 .0552118 mean(srsmokr)| .30177 .0145728 20.71 0.000 .2732078 .3303321 mean(ntwrksmk)| 4.676627 .1061913 44.04 0.000 4.468496 4.884758 mean(extrindx)| 3.535358 .0567495 62.30 0.000 3.424131 3.646585 ----------------------------+---------------------------------------------------------------- var(e.smokdays)| 60.58073 2.889458 55.17414 66.51711 var(age)| 2.563858 .1039354 2.368031 2.775879 var(_Irace_2)| .175034 .0071255 .161611 .1895719 var(_Irace_3)| .0479885 .0019536 .0443083 .0519744 var(_Irace_4)| .1075861 .0043796 .0993358 .1165216 var(_Irace_5)| .0814929 .0033181 .0752422 .0882629 var(male)| .2474463 .0100311 .2285464 .2679092 var(_Ilgbtcat_2)| .0630776 .0025623 .0582503 .0683049 var(_Ilgbtcat_3)| .0522221 .0021213 .0482256 .0565497 var(_Ilgbtcat_4)| .0418197 .0016989 .038619 .0452857 var(srsmokr)| .2103124 .0097904 .1919729 .2304039 var(ntwrksmk)| 7.36917 .4155553 6.598093 8.230358 var(extrindx)| 2.621236 .1313866 2.375968 2.891823 ----------------------------+---------------------------------------------------------------- cov(age,_Irace_2)| -.0205147 .0193677 -1.06 0.289 -.0584746 .0174453 cov(age,_Irace_3)| -.0021617 .0101374 -0.21 0.831 -.0220306 .0177072 cov(age,_Irace_4)| -.0126286 .0151824 -0.83 0.406 -.0423855 .0171283 cov(age,_Irace_5)| -.0023098 .0132093 -0.17 0.861 -.0281996 .02358 cov(age,male)| .062924 .022903 2.75 0.006 .0180348 .1078131 cov(age,_Ilgbtcat_2)| .0104076 .0115629 0.90 0.368 -.0122552 .0330704 cov(age,_Ilgbtcat_3)| -.0131719 .010524 -1.25 0.211 -.0337985 .0074548 cov(age,_Ilgbtcat_4)| .0066269 .0094138 0.70 0.481 -.0118239 .0250777 cov(age,srsmokr)| -.0495461 .0234984 -2.11 0.035 -.0956022 -.00349 cov(age,ntwrksmk)| -.4852923 .1722416 -2.82 0.005 -.8228796 -.147705 cov(age,extrindx)| -.0487939 .0891075 -0.55 0.584 -.2234414 .1258537 cov(_Irace_2,_Irace_3)| -.0114397 .0026587 -4.30 0.000 -.0166507 -.0062287 cov(_Irace_2,_Irace_4)| -.0277352 .00403 -6.88 0.000 -.0356338 -.0198366 cov(_Irace_2,_Irace_5)| -.0202204 .0034871 -5.80 0.000 -.0270549 -.0133858 cov(_Irace_2,male)| .011742 .0060012 1.96 0.050 -.0000201 .0235042 cov(_Irace_2,_Ilgbtcat_2)| .0037554 .0030335 1.24 0.216 -.0021902 .009701 cov(_Irace_2,_Ilgbtcat_3)| .0016541 .0027624 0.60 0.549 -.0037602 .0070684 cov(_Irace_2,_Ilgbtcat_4)| .0054716 .0025042 2.19 0.029 .0005636 .0103797 cov(_Irace_2,srsmokr)| .0117734 .0061315 1.92 0.055 -.000244 .0237908 cov(_Irace_2,ntwrksmk)| .0653324 .0424226 1.54 0.124 -.0178144 .1484791 cov(_Irace_2,extrindx)| .0223389 .0242927 0.92 0.358 -.0252739 .0699518 cov(_Irace_3,_Irace_4)| -.0061969 .002076 -2.99 0.003 -.0102658 -.0021281 cov(_Irace_3,_Irace_5)| -.0045275 .001805 -2.51 0.012 -.0080654 -.0009897 cov(_Irace_3,male)| .0011381 .0031376 0.36 0.717 -.0050115 .0072877 cov(_Irace_3,_Ilgbtcat_2)| .0032446 .0015894 2.04 0.041 .0001295 .0063598 cov(_Irace_3,_Ilgbtcat_3)| -.0019612 .0014467 -1.36 0.175 -.0047967 .0008742 cov(_Irace_3,_Ilgbtcat_4)| -.0013698 .0013087 -1.05 0.295 -.0039349 .0011953 cov(_Irace_3,srsmokr)| .0001754 .0031677 0.06 0.956 -.0060331 .0063839 cov(_Irace_3,ntwrksmk)| -.0304225 .0252827 -1.20 0.229 -.0799757 .0191308 cov(_Irace_3,extrindx)| .0056345 .0118 0.48 0.633 -.0174931 .0287621 cov(_Irace_4,_Irace_5)| -.0109804 .002714 -4.05 0.000 -.0162999 -.005661 cov(_Irace_4,male)| .0003935 .0046977 0.08 0.933 -.0088138 .0096008 cov(_Irace_4,_Ilgbtcat_2)| -.0049758 .0023804 -2.09 0.037 -.0096413 -.0003103 cov(_Irace_4,_Ilgbtcat_3)| -.0000987 .0021648 -0.05 0.964 -.0043417 .0041442 cov(_Irace_4,_Ilgbtcat_4)| -.0011039 .0019592 -0.56 0.573 -.0049438 .0027361 cov(_Irace_4,srsmokr)| -.0017021 .0049541 -0.34 0.731 -.0114119 .0080077 cov(_Irace_4,ntwrksmk)| -.0657382 .032613 -2.02 0.044 -.1296585 -.0018178 cov(_Irace_4,extrindx)| -.0300368 .0185551 -1.62 0.105 -.0664042 .0063306 cov(_Irace_5,male)| -.0023088 .0040889 -0.56 0.572 -.010323 .0057053 cov(_Irace_5,_Ilgbtcat_2)| .0048596 .0020809 2.34 0.020 .0007811 .0089382 cov(_Irace_5,_Ilgbtcat_3)| .0009335 .0018918 0.49 0.622 -.0027744 .0046414 cov(_Irace_5,_Ilgbtcat_4)| .0047296 .0017172 2.75 0.006 .0013639 .0080952 cov(_Irace_5,srsmokr)| -.0026614 .0042774 -0.62 0.534 -.011045 .0057222 cov(_Irace_5,ntwrksmk)| .0368592 .0305681 1.21 0.228 -.0230532 .0967715 cov(_Irace_5,extrindx)| .0048761 .0162295 0.30 0.764 -.0269332 .0366853 cov(male,_Ilgbtcat_2)| .0080623 .0035963 2.24 0.025 .0010136 .015111 cov(male,_Ilgbtcat_3)| -.01479 .0032929 -4.49 0.000 -.021244 -.0083361 cov(male,_Ilgbtcat_4)| -.0043236 .0029249 -1.48 0.139 -.0100562 .0014091 cov(male,srsmokr)| .0328062 .0073164 4.48 0.000 .0184664 .047146 cov(male,ntwrksmk)| .2019116 .0529144 3.82 0.000 .0982012 .305622 cov(male,extrindx)| .0758638 .0282555 2.68 0.007 .020484 .1312435 cov(_Ilgbtcat_2,_Ilgbtcat_3)| -.0037371 .001652 -2.26 0.024 -.006975 -.0004992 cov(_Ilgbtcat_2,_Ilgbtcat_4)| -.0029544 .0014777 -2.00 0.046 -.0058507 -.0000581 cov(_Ilgbtcat_2,srsmokr)| .0030305 .0035423 0.86 0.392 -.0039122 .0099732 cov(_Ilgbtcat_2,ntwrksmk)| .0256125 .0268212 0.95 0.340 -.0269561 .0781811 cov(_Ilgbtcat_2,extrindx)| .0201715 .0149166 1.35 0.176 -.0090646 .0494076 cov(_Ilgbtcat_3,_Ilgbtcat_4)| -.0024176 .0013442 -1.80 0.072 -.0050521 .0002169 cov(_Ilgbtcat_3,srsmokr)| .0047011 .0034819 1.35 0.177 -.0021233 .0115254 cov(_Ilgbtcat_3,ntwrksmk)| .0384635 .0221714 1.73 0.083 -.0049917 .0819187 cov(_Ilgbtcat_3,extrindx)| .0144808 .0128958 1.12 0.261 -.0107944 .039756 cov(_Ilgbtcat_4,srsmokr)| -.0002352 .0030649 -0.08 0.939 -.0062423 .0057719 cov(_Ilgbtcat_4,ntwrksmk)| .0255386 .0211976 1.20 0.228 -.016008 .0670851 cov(_Ilgbtcat_4,extrindx)| -.0048954 .0121524 -0.40 0.687 -.0287136 .0189229 cov(srsmokr,ntwrksmk)| .4758123 .0577705 8.24 0.000 .3625841 .5890405 cov(srsmokr,extrindx)| .1907354 .0316199 6.03 0.000 .1287616 .2527092 cov(ntwrksmk,extrindx)| .6879128 .2589256 2.66 0.008 .1804279 1.195398 --------------------------------------------------------------------------------------------- LR test of model vs. saturated: chi2(0) = 0.00, Prob > chi2 = . . . // Single equation syntax for race effect . . test _Irace_2 _Irace_3 _Irace_4 _Irace_5 ( 1) [smokdays]_Irace_2 = 0 ( 2) [smokdays]_Irace_3 = 0 ( 3) [smokdays]_Irace_4 = 0 ( 4) [smokdays]_Irace_5 = 0 chi2( 4) = 5.74 Prob > chi2 = 0.2194 . testparm _Irace* ( 1) [smokdays]_Irace_2 = 0 ( 2) [smokdays]_Irace_3 = 0 ( 3) [smokdays]_Irace_4 = 0 ( 4) [smokdays]_Irace_5 = 0 chi2( 4) = 5.74 Prob > chi2 = 0.2194 . . // Multiple equation syntax for race effect . . test [smokdays]_Irace_2 [smokdays]_Irace_3 [smokdays]_Irace_4 [smokdays]_Irace_5 ( 1) [smokdays]_Irace_2 = 0 ( 2) [smokdays]_Irace_3 = 0 ( 3) [smokdays]_Irace_4 = 0 ( 4) [smokdays]_Irace_5 = 0 chi2( 4) = 5.74 Prob > chi2 = 0.2194 . testparm _Irace_*, eq(smokdays) ( 1) [smokdays]_Irace_2 = 0 ( 2) [smokdays]_Irace_3 = 0 ( 3) [smokdays]_Irace_4 = 0 ( 4) [smokdays]_Irace_5 = 0 chi2( 4) = 5.74 Prob > chi2 = 0.2194 . . // Single equation syntax for LGBT effect . . test _Ilgbtcat_2 _Ilgbtcat_3 _Ilgbtcat_4 ( 1) [smokdays]_Ilgbtcat_2 = 0 ( 2) [smokdays]_Ilgbtcat_3 = 0 ( 3) [smokdays]_Ilgbtcat_4 = 0 chi2( 3) = 21.68 Prob > chi2 = 0.0001 . testparm _Ilgb* ( 1) [smokdays]_Ilgbtcat_2 = 0 ( 2) [smokdays]_Ilgbtcat_3 = 0 ( 3) [smokdays]_Ilgbtcat_4 = 0 chi2( 3) = 21.68 Prob > chi2 = 0.0001 . . // Multiple equation syntax for LGBT effect . . test [smokdays]_Ilgbtcat_2 [smokdays]_Ilgbtcat_3 [smokdays]_Ilgbtcat_4 ( 1) [smokdays]_Ilgbtcat_2 = 0 ( 2) [smokdays]_Ilgbtcat_3 = 0 ( 3) [smokdays]_Ilgbtcat_4 = 0 chi2( 3) = 21.68 Prob > chi2 = 0.0001 . testparm _Ilgbtcat_*, eq(smokdays) ( 1) [smokdays]_Ilgbtcat_2 = 0 ( 2) [smokdays]_Ilgbtcat_3 = 0 ( 3) [smokdays]_Ilgbtcat_4 = 0 chi2( 3) = 21.68 Prob > chi2 = 0.0001 . . . // Example 2: Analysis of binary daily smoking variabile using logistic regression . . // Generate dummy variables for sexual orientation and race . . quietly: tab lgbtcat, gen(lgb) . quietly: tab race, gen(race) . . // Fit logistic model using -runmplus-. Peform Wald test for overall race effect . . runmplus smkdaily age race2 race3 race4 race5 male lgb2 lgb3 lgb4 /// > srsmokr ntwrksmk extrindx venueid, /// > variable(cluster = venueid;) /// > analysis(type = complex ; /// > estimator = MLR; /// > algorithm = integration; /// > integration=montecarlo; /// > processors = 4;) /// > categorical(smkdaily) /// > model(smkdaily ON race2 (r2) ; /// > smkdaily ON race3 (r3) ; /// > smkdaily ON race4 (r4) ; /// > smkdaily ON race5 (r5) ; /// > smkdaily ON lgb2 (s2) ; /// > smkdaily ON lgb3 (s3) ; /// > smkdaily ON lgb4 (s4) ; /// > smkdaily ON age male srsmokr ntwrksmk extrindx ; /// > age; /// > race2 ; /// > race3 ; /// > race4 ; /// > race5 ; /// > male ; /// > lgb2 ; /// > lgb3 ; /// > lgb4 ; /// > srsmokr ; /// > ntwrksmk ; /// > extrindx ; /// > model test: /// > r2 = 0; r3 = 0 ; r4 = 0 ; r5 = 0 ;) /// > output(cinterval;) THE MODEL ESTIMATION TERMINATED NORMALLY Mplus VERSION 7.3 MUTHEN & MUTHEN 02/13/2015 2:43 PM INPUT INSTRUCTIONS TITLE: Variable List - smkdaily : 0: 0. No 1: 1. Yes age : Age. Age in Years race2 : race==2. Latino race3 : race==3. Non-Hispanic Black race4 : race==4. Non-Hispanic A/PI race5 : race==5. Non-Hispanic other male : Male. Male gender (yes/no) 0: 0. No 1: 1. Yes lgb2 : lgbtcat==2. Gay lgb3 : lgbtcat==3. Bisexual lgb4 : lgbtcat==4. Other srsmokr : SRSSmokr. PPT considers self a smoker (yes/no) 0: 0. No 1: 1. Yes ntwrksmk : Ntwrksmk. Friend, Coworker, Party friends' smoking extrindx : Extrindx. Extraversion index venueid : VenueID. Numeric recruitement venue (bar) ID number fr. Louisa Holmes DATA: FILE = __000001.dat ; VARIABLE: NAMES = smkdaily age race2 race3 race4 race5 male lgb2 lgb3 lgb4 srsmokr ntwrksmk extrindx venueid ; MISSING ARE ALL (-9999) ; CATEGORICAL = smkdaily ; cluster = venueid ; ANALYSIS: type = complex ; estimator = MLR ; algorithm = integration ; integration=montecarlo ; processors = 4 ; OUTPUT: cinterval ; MODEL: smkdaily ON race2 (r2) ; smkdaily ON race3 (r3) ; smkdaily ON race4 (r4) ; smkdaily ON race5 (r5) ; smkdaily ON lgb2 (s2) ; smkdaily ON lgb3 (s3) ; smkdaily ON lgb4 (s4) ; smkdaily ON age male srsmokr ntwrksmk extrindx ; age ; race2 ; race3 ; race4 ; race5 ; male ; lgb2 ; lgb3 ; lgb4 ; srsmokr ; ntwrksmk ; extrindx ; model test: r2 = 0 ; r3 = 0 ; r4 = 0 ; r5 = 0 ; INPUT READING TERMINATED NORMALLY Variable List - smkdaily : 0: 0. No 1: 1. Yes age : Age. Age in Years race2 : race==2. Latino race3 : race==3. Non-Hispanic Black race4 : race==4. Non-Hispanic A/PI race5 : race==5. Non-Hispanic other male : Male. Male gender (yes/no) 0: 0. No 1: 1. Yes lgb2 : lgbtcat==2. Gay lgb3 : lgbtcat==3. Bisexual lgb4 : lgbtcat==4. Other srsmokr : SRSSmokr. PPT considers self a smoker (yes/no) 0: 0. No 1: 1. Yes ntwrksmk : Ntwrksmk. Friend, Coworker, Party friends' smoking extrindx : Extrindx. Extraversion index venueid : VenueID. Numeric recruitement venue (bar) ID number fr. Louisa Holmes SUMMARY OF ANALYSIS Number of groups 1 Number of observations 1217 Number of dependent variables 1 Number of independent variables 12 Number of continuous latent variables 0 Observed dependent variables Binary and ordered categorical (ordinal) SMKDAILY Observed independent variables AGE RACE2 RACE3 RACE4 RACE5 MALE LGB2 LGB3 LGB4 SRSMOKR NTWRKSMK EXTRINDX Variables with special functions Cluster variable VENUEID 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-02 Relative loglikelihood change 0.100D-05 Derivative 0.100D-02 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-02 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-02 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 Integration Specifications Type MONTECARLO Number of integration points 250 Dimensions of numerical integration 10 Adaptive quadrature ON Monte Carlo integration seed 0 Link LOGIT Cholesky OFF Input data file(s) __000001.dat Input data format FREE SUMMARY OF DATA Number of missing data patterns 21 Number of clusters 23 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage SMKDAILY AGE RACE2 RACE3 RACE4 ________ ________ ________ ________ ________ SMKDAILY 0.941 AGE 0.941 1.000 RACE2 0.934 0.992 0.992 RACE3 0.934 0.992 0.992 0.992 RACE4 0.934 0.992 0.992 0.992 0.992 RACE5 0.934 0.992 0.992 0.992 0.992 MALE 0.941 1.000 0.992 0.992 0.992 LGB2 0.937 0.996 0.988 0.988 0.988 LGB3 0.937 0.996 0.988 0.988 0.988 LGB4 0.937 0.996 0.988 0.988 0.988 SRSMOKR 0.657 0.705 0.698 0.698 0.698 NTWRKSMK 0.480 0.506 0.503 0.503 0.503 EXTRINDX 0.627 0.658 0.652 0.652 0.652 Covariance Coverage RACE5 MALE LGB2 LGB3 LGB4 ________ ________ ________ ________ ________ RACE5 0.992 MALE 0.992 1.000 LGB2 0.988 0.996 0.996 LGB3 0.988 0.996 0.996 0.996 LGB4 0.988 0.996 0.996 0.996 0.996 SRSMOKR 0.698 0.705 0.702 0.702 0.702 NTWRKSMK 0.503 0.506 0.505 0.505 0.505 EXTRINDX 0.652 0.658 0.656 0.656 0.656 Covariance Coverage SRSMOKR NTWRKSMK EXTRINDX ________ ________ ________ SRSMOKR 0.705 NTWRKSMK 0.251 0.506 EXTRINDX 0.397 0.227 0.658 PROPORTION OF DATA PRESENT FOR U Covariance Coverage SMKDAILY ________ SMKDAILY 0.941 PROPORTION OF DATA PRESENT FOR Y Covariance Coverage AGE RACE2 RACE3 RACE4 RACE5 ________ ________ ________ ________ ________ AGE 1.000 RACE2 0.992 0.992 RACE3 0.992 0.992 0.992 RACE4 0.992 0.992 0.992 0.992 RACE5 0.992 0.992 0.992 0.992 0.992 MALE 1.000 0.992 0.992 0.992 0.992 LGB2 0.996 0.988 0.988 0.988 0.988 LGB3 0.996 0.988 0.988 0.988 0.988 LGB4 0.996 0.988 0.988 0.988 0.988 SRSMOKR 0.705 0.698 0.698 0.698 0.698 NTWRKSMK 0.506 0.503 0.503 0.503 0.503 EXTRINDX 0.658 0.652 0.652 0.652 0.652 Covariance Coverage MALE LGB2 LGB3 LGB4 SRSMOKR ________ ________ ________ ________ ________ MALE 1.000 LGB2 0.996 0.996 LGB3 0.996 0.996 0.996 LGB4 0.996 0.996 0.996 0.996 SRSMOKR 0.705 0.702 0.702 0.702 0.705 NTWRKSMK 0.506 0.505 0.505 0.505 0.251 EXTRINDX 0.658 0.656 0.656 0.656 0.397 Covariance Coverage NTWRKSMK EXTRINDX ________ ________ NTWRKSMK 0.506 EXTRINDX 0.227 0.658 UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES SMKDAILY Category 1 0.488 559.000 Category 2 0.512 586.000 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 103 Loglikelihood H0 Value -8007.875 H0 Scaling Correction Factor 1.3745 for MLR Information Criteria Akaike (AIC) 16221.750 Bayesian (BIC) 16747.477 Sample-Size Adjusted BIC 16420.307 (n* = (n + 2) / 24) Wald Test of Parameter Constraints Value 11.860 Degrees of Freedom 4 P-Value 0.0184 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value SMKDAILY ON RACE2 -0.362 0.129 -2.799 0.005 RACE3 -0.360 0.294 -1.226 0.220 RACE4 -0.001 0.287 -0.002 0.998 RACE5 -0.523 0.245 -2.138 0.033 LGB2 0.095 0.261 0.363 0.717 LGB3 1.168 0.449 2.603 0.009 LGB4 0.653 0.371 1.760 0.078 AGE -0.021 0.042 -0.492 0.623 MALE 0.219 0.189 1.161 0.246 SRSMOKR 3.062 0.299 10.249 0.000 NTWRKSMK 0.188 0.022 8.680 0.000 EXTRINDX 0.147 0.075 1.968 0.049 RACE2 WITH AGE -0.021 0.019 -1.088 0.276 RACE3 WITH AGE -0.002 0.008 -0.264 0.792 RACE2 -0.011 0.001 -9.781 0.000 RACE4 WITH AGE -0.013 0.016 -0.811 0.418 RACE2 -0.028 0.004 -7.869 0.000 RACE3 -0.006 0.001 -7.399 0.000 RACE5 WITH AGE -0.002 0.013 -0.167 0.868 RACE2 -0.020 0.002 -8.751 0.000 RACE3 -0.005 0.001 -8.932 0.000 RACE4 -0.011 0.002 -5.186 0.000 MALE WITH AGE 0.063 0.032 1.981 0.048 RACE2 0.012 0.005 2.153 0.031 RACE3 0.001 0.004 0.320 0.749 RACE4 0.000 0.005 0.081 0.935 RACE5 -0.002 0.004 -0.550 0.582 LGB2 WITH AGE 0.010 0.012 0.884 0.377 RACE2 0.004 0.002 1.737 0.082 RACE3 0.003 0.002 2.112 0.035 RACE4 -0.005 0.002 -2.671 0.008 RACE5 0.005 0.002 2.442 0.015 MALE 0.008 0.003 2.346 0.019 LGB3 WITH AGE -0.013 0.010 -1.274 0.203 RACE2 0.002 0.003 0.659 0.510 RACE3 -0.002 0.001 -3.170 0.002 RACE4 0.000 0.002 -0.060 0.952 RACE5 0.001 0.001 0.636 0.525 MALE -0.015 0.004 -3.491 0.000 LGB2 -0.004 0.001 -5.898 0.000 LGB4 WITH AGE 0.007 0.016 0.426 0.670 RACE2 0.005 0.003 1.583 0.113 RACE3 -0.001 0.001 -1.766 0.077 RACE4 -0.001 0.002 -0.464 0.643 RACE5 0.005 0.002 2.439 0.015 MALE -0.004 0.003 -1.606 0.108 LGB2 -0.003 0.001 -5.270 0.000 LGB3 -0.002 0.000 -5.019 0.000 SRSMOKR WITH AGE -0.059 0.025 -2.395 0.017 RACE2 0.012 0.005 2.146 0.032 RACE3 0.001 0.003 0.271 0.786 RACE4 -0.002 0.005 -0.387 0.699 RACE5 -0.002 0.005 -0.439 0.660 MALE 0.033 0.006 5.155 0.000 LGB2 0.002 0.004 0.419 0.675 LGB3 0.005 0.004 1.397 0.163 LGB4 0.002 0.003 0.516 0.606 NTWRKSMK WITH AGE -0.418 0.166 -2.516 0.012 RACE2 0.072 0.037 1.966 0.049 RACE3 -0.032 0.023 -1.395 0.163 RACE4 -0.067 0.043 -1.568 0.117 RACE5 0.033 0.024 1.338 0.181 MALE 0.191 0.046 4.105 0.000 LGB2 0.025 0.026 0.957 0.339 LGB3 0.037 0.016 2.305 0.021 LGB4 0.020 0.021 0.952 0.341 SRSMOKR 0.490 0.029 16.764 0.000 EXTRINDX WITH AGE -0.047 0.122 -0.382 0.702 RACE2 0.023 0.018 1.308 0.191 RACE3 0.005 0.009 0.553 0.580 RACE4 -0.032 0.017 -1.895 0.058 RACE5 0.006 0.016 0.392 0.695 MALE 0.076 0.031 2.466 0.014 LGB2 0.019 0.017 1.127 0.260 LGB3 0.015 0.009 1.623 0.105 LGB4 -0.004 0.015 -0.305 0.760 SRSMOKR 0.184 0.038 4.780 0.000 NTWRKSMK 0.654 0.162 4.025 0.000 Means AGE 23.495 0.079 296.027 0.000 RACE2 0.226 0.016 13.967 0.000 RACE3 0.051 0.005 9.623 0.000 RACE4 0.123 0.015 8.238 0.000 RACE5 0.090 0.008 11.516 0.000 MALE 0.551 0.013 43.173 0.000 LGB2 0.068 0.012 5.746 0.000 LGB3 0.055 0.009 6.284 0.000 LGB4 0.044 0.004 11.295 0.000 SRSMOKR 0.301 0.024 12.564 0.000 NTWRKSMK 4.684 0.101 46.234 0.000 EXTRINDX 3.535 0.067 52.420 0.000 Thresholds SMKDAILY$1 1.616 1.050 1.540 0.124 Variances AGE 2.564 0.085 30.294 0.000 RACE2 0.175 0.009 19.719 0.000 RACE3 0.048 0.005 10.165 0.000 RACE4 0.108 0.011 9.571 0.000 RACE5 0.081 0.006 12.851 0.000 MALE 0.247 0.001 191.988 0.000 LGB2 0.063 0.010 6.190 0.000 LGB3 0.052 0.008 6.740 0.000 LGB4 0.042 0.004 11.893 0.000 SRSMOKR 0.213 0.010 21.220 0.000 NTWRKSMK 7.260 0.436 16.667 0.000 EXTRINDX 2.619 0.112 23.346 0.000 LOGISTIC REGRESSION ODDS RATIO RESULTS SMKDAILY ON RACE2 0.696 RACE3 0.698 RACE4 0.999 RACE5 0.593 LGB2 1.099 LGB3 3.214 LGB4 1.922 AGE 0.979 MALE 1.245 SRSMOKR 21.364 NTWRKSMK 1.207 EXTRINDX 1.158 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.103E-06 (ratio of smallest to largest eigenvalue) CONFIDENCE INTERVALS OF MODEL RESULTS Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5% SMKDAILY ON RACE2 -0.696 -0.616 -0.575 -0.362 -0.149 -0.109 -0.029 RACE3 -1.117 -0.936 -0.843 -0.360 0.123 0.216 0.396 RACE4 -0.739 -0.563 -0.472 -0.001 0.471 0.561 0.738 RACE5 -1.153 -1.003 -0.926 -0.523 -0.121 -0.044 0.107 LGB2 -0.578 -0.417 -0.335 0.095 0.525 0.607 0.768 LGB3 0.012 0.288 0.430 1.168 1.906 2.047 2.323 LGB4 -0.303 -0.074 0.043 0.653 1.264 1.381 1.609 AGE -0.130 -0.104 -0.091 -0.021 0.049 0.062 0.089 MALE -0.267 -0.151 -0.091 0.219 0.529 0.588 0.704 SRSMOKR 2.292 2.476 2.570 3.062 3.553 3.647 3.831 NTWRKSMK 0.132 0.145 0.152 0.188 0.223 0.230 0.244 EXTRINDX -0.045 0.001 0.024 0.147 0.270 0.293 0.339 RACE2 WITH AGE -0.070 -0.058 -0.052 -0.021 0.011 0.017 0.028 RACE3 WITH AGE -0.022 -0.017 -0.015 -0.002 0.011 0.013 0.018 RACE2 -0.014 -0.014 -0.013 -0.011 -0.010 -0.009 -0.008 RACE4 WITH AGE -0.053 -0.043 -0.038 -0.013 0.013 0.018 0.028 RACE2 -0.037 -0.035 -0.034 -0.028 -0.022 -0.021 -0.019 RACE3 -0.008 -0.008 -0.008 -0.006 -0.005 -0.005 -0.004 RACE5 WITH AGE -0.036 -0.028 -0.024 -0.002 0.019 0.024 0.032 RACE2 -0.026 -0.025 -0.024 -0.020 -0.016 -0.016 -0.014 RACE3 -0.006 -0.006 -0.005 -0.005 -0.004 -0.004 -0.003 RACE4 -0.016 -0.015 -0.014 -0.011 -0.007 -0.007 -0.006 MALE WITH AGE -0.019 0.001 0.011 0.063 0.115 0.125 0.145 RACE2 -0.002 0.001 0.003 0.012 0.021 0.022 0.026 RACE3 -0.008 -0.006 -0.005 0.001 0.007 0.008 0.010 RACE4 -0.012 -0.009 -0.008 0.000 0.008 0.010 0.013 RACE5 -0.013 -0.011 -0.009 -0.002 0.005 0.006 0.009 LGB2 WITH AGE -0.020 -0.013 -0.009 0.010 0.030 0.033 0.040 RACE2 -0.002 0.000 0.000 0.004 0.007 0.008 0.009 RACE3 -0.001 0.000 0.001 0.003 0.006 0.006 0.007 RACE4 -0.010 -0.009 -0.008 -0.005 -0.002 -0.001 0.000 RACE5 0.000 0.001 0.002 0.005 0.008 0.009 0.010 MALE -0.001 0.001 0.002 0.008 0.014 0.015 0.017 LGB3 WITH AGE -0.040 -0.034 -0.031 -0.013 0.004 0.007 0.014 RACE2 -0.005 -0.003 -0.003 0.002 0.006 0.007 0.008 RACE3 -0.004 -0.003 -0.003 -0.002 -0.001 -0.001 0.000 RACE4 -0.006 -0.004 -0.004 0.000 0.003 0.004 0.006 RACE5 -0.003 -0.002 -0.002 0.001 0.003 0.004 0.005 MALE -0.026 -0.023 -0.022 -0.015 -0.008 -0.006 -0.004 LGB2 -0.005 -0.005 -0.005 -0.004 -0.003 -0.003 -0.002 LGB4 WITH AGE -0.033 -0.024 -0.019 0.007 0.032 0.037 0.047 RACE2 -0.003 -0.001 0.000 0.005 0.011 0.012 0.014 RACE3 -0.003 -0.003 -0.003 -0.001 0.000 0.000 0.001 RACE4 -0.007 -0.006 -0.005 -0.001 0.003 0.004 0.005 RACE5 0.000 0.001 0.002 0.005 0.008 0.008 0.010 MALE -0.011 -0.010 -0.009 -0.004 0.000 0.001 0.003 LGB2 -0.004 -0.004 -0.004 -0.003 -0.002 -0.002 -0.002 LGB3 -0.004 -0.003 -0.003 -0.002 -0.002 -0.001 -0.001 SRSMOKR WITH AGE -0.123 -0.107 -0.100 -0.059 -0.018 -0.011 0.004 RACE2 -0.002 0.001 0.003 0.012 0.021 0.023 0.026 RACE3 -0.007 -0.005 -0.004 0.001 0.006 0.007 0.009 RACE4 -0.015 -0.012 -0.010 -0.002 0.006 0.008 0.011 RACE5 -0.015 -0.012 -0.011 -0.002 0.006 0.008 0.011 MALE 0.017 0.020 0.022 0.033 0.044 0.046 0.050 LGB2 -0.009 -0.006 -0.005 0.002 0.008 0.010 0.012 LGB3 -0.004 -0.002 -0.001 0.005 0.011 0.013 0.015 LGB4 -0.006 -0.004 -0.003 0.002 0.007 0.007 0.009 NTWRKSMK WITH AGE -0.846 -0.744 -0.692 -0.418 -0.145 -0.092 0.010 RACE2 -0.022 0.000 0.012 0.072 0.133 0.145 0.167 RACE3 -0.092 -0.077 -0.070 -0.032 0.006 0.013 0.027 RACE4 -0.176 -0.150 -0.137 -0.067 0.003 0.017 0.043 RACE5 -0.030 -0.015 -0.007 0.033 0.073 0.080 0.096 MALE 0.071 0.100 0.114 0.191 0.267 0.282 0.311 LGB2 -0.043 -0.027 -0.018 0.025 0.069 0.077 0.094 LGB3 -0.004 0.005 0.011 0.037 0.063 0.068 0.078 LGB4 -0.033 -0.021 -0.014 0.020 0.053 0.060 0.073 SRSMOKR 0.415 0.433 0.442 0.490 0.538 0.547 0.565 EXTRINDX WITH AGE -0.361 -0.286 -0.247 -0.047 0.154 0.193 0.268 RACE2 -0.022 -0.012 -0.006 0.023 0.052 0.058 0.069 RACE3 -0.019 -0.013 -0.010 0.005 0.020 0.023 0.029 RACE4 -0.075 -0.065 -0.059 -0.032 -0.004 0.001 0.011 RACE5 -0.034 -0.025 -0.020 0.006 0.032 0.037 0.047 MALE -0.003 0.016 0.025 0.076 0.126 0.136 0.155 LGB2 -0.025 -0.014 -0.009 0.019 0.048 0.053 0.064 LGB3 -0.009 -0.003 0.000 0.015 0.030 0.032 0.038 LGB4 -0.042 -0.033 -0.028 -0.004 0.020 0.024 0.033 SRSMOKR 0.085 0.108 0.121 0.184 0.247 0.259 0.283 NTWRKSMK 0.235 0.335 0.387 0.654 0.921 0.972 1.072 Means AGE 23.290 23.339 23.364 23.495 23.625 23.650 23.699 RACE2 0.184 0.194 0.200 0.226 0.253 0.258 0.268 RACE3 0.037 0.040 0.042 0.051 0.059 0.061 0.064 RACE4 0.084 0.093 0.098 0.123 0.147 0.152 0.161 RACE5 0.070 0.074 0.077 0.090 0.103 0.105 0.110 MALE 0.518 0.526 0.530 0.551 0.572 0.576 0.583 LGB2 0.037 0.045 0.048 0.068 0.087 0.091 0.098 LGB3 0.033 0.038 0.041 0.055 0.070 0.073 0.078 LGB4 0.034 0.036 0.037 0.044 0.050 0.051 0.054 SRSMOKR 0.239 0.254 0.262 0.301 0.340 0.348 0.363 NTWRKSMK 4.423 4.485 4.517 4.684 4.851 4.883 4.945 EXTRINDX 3.362 3.403 3.425 3.535 3.646 3.668 3.709 Thresholds SMKDAILY$1 -1.088 -0.441 -0.111 1.616 3.344 3.674 4.321 Variances AGE 2.346 2.398 2.425 2.564 2.703 2.730 2.782 RACE2 0.152 0.158 0.160 0.175 0.190 0.192 0.198 RACE3 0.036 0.039 0.040 0.048 0.056 0.057 0.060 RACE4 0.079 0.086 0.089 0.108 0.126 0.130 0.137 RACE5 0.065 0.069 0.071 0.081 0.092 0.094 0.098 MALE 0.244 0.245 0.245 0.247 0.250 0.250 0.251 LGB2 0.037 0.043 0.046 0.063 0.080 0.083 0.089 LGB3 0.032 0.037 0.039 0.052 0.065 0.067 0.072 LGB4 0.033 0.035 0.036 0.042 0.048 0.049 0.051 SRSMOKR 0.187 0.193 0.196 0.213 0.229 0.232 0.239 NTWRKSMK 6.138 6.406 6.543 7.260 7.977 8.114 8.382 EXTRINDX 2.330 2.399 2.434 2.619 2.803 2.839 2.908 CONFIDENCE INTERVALS FOR THE LOGISTIC REGRESSION ODDS RATIO RESULTS SMKDAILY ON RACE2 0.499 0.540 0.563 0.696 0.861 0.897 0.971 RACE3 0.327 0.392 0.430 0.698 1.131 1.241 1.487 RACE4 0.477 0.570 0.624 0.999 1.602 1.753 2.092 RACE5 0.316 0.367 0.396 0.593 0.886 0.957 1.113 LGB2 0.561 0.659 0.715 1.099 1.690 1.835 2.155 LGB3 1.012 1.334 1.537 3.214 6.723 7.744 10.207 LGB4 0.739 0.928 1.043 1.922 3.538 3.977 4.999 AGE 0.878 0.901 0.913 0.979 1.050 1.064 1.093 MALE 0.766 0.860 0.913 1.245 1.697 1.801 2.023 SRSMOKR 9.897 11.896 13.070 21.364 34.922 38.367 46.116 NTWRKSMK 1.141 1.157 1.164 1.207 1.250 1.259 1.276 EXTRINDX 0.956 1.001 1.024 1.158 1.310 1.341 1.404 Beginning Time: 14:43:59 Ending Time: 14:44:17 Elapsed Time: 00:00:18 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) 1998-2014 Muthen & Muthen . . // Fit logistic model using -runmplus-. Peform Wald test for overall LGBT effect . . runmplus smkdaily age race2 race3 race4 race5 male lgb2 lgb3 lgb4 /// > srsmokr ntwrksmk extrindx venueid, /// > variable(cluster = venueid;) /// > analysis(type = complex ; /// > estimator = MLR; /// > algorithm = integration; /// > integration=montecarlo; /// > processors = 4;) /// > categorical(smkdaily) /// > model(smkdaily ON race2 (r2) ; /// > smkdaily ON race3 (r3) ; /// > smkdaily ON race4 (r4) ; /// > smkdaily ON race5 (r5) ; /// > smkdaily ON lgb2 (s2) ; /// > smkdaily ON lgb3 (s3) ; /// > smkdaily ON lgb4 (s4) ; /// > smkdaily ON age male srsmokr ntwrksmk extrindx ; /// > age; /// > race2 ; /// > race3 ; /// > race4 ; /// > race5 ; /// > male ; /// > lgb2 ; /// > lgb3 ; /// > lgb4 ; /// > srsmokr ; /// > ntwrksmk ; /// > extrindx ; /// > model test: /// > s2 = 0; s3 = 0 ; s4 = 0 ;) /// > output(cinterval;) THE MODEL ESTIMATION TERMINATED NORMALLY Mplus VERSION 7.3 MUTHEN & MUTHEN 02/13/2015 2:44 PM INPUT INSTRUCTIONS TITLE: Variable List - smkdaily : 0: 0. No 1: 1. Yes age : Age. Age in Years race2 : race==2. Latino race3 : race==3. Non-Hispanic Black race4 : race==4. Non-Hispanic A/PI race5 : race==5. Non-Hispanic other male : Male. Male gender (yes/no) 0: 0. No 1: 1. Yes lgb2 : lgbtcat==2. Gay lgb3 : lgbtcat==3. Bisexual lgb4 : lgbtcat==4. Other srsmokr : SRSSmokr. PPT considers self a smoker (yes/no) 0: 0. No 1: 1. Yes ntwrksmk : Ntwrksmk. Friend, Coworker, Party friends' smoking extrindx : Extrindx. Extraversion index venueid : VenueID. Numeric recruitement venue (bar) ID number fr. Louisa Holmes DATA: FILE = __000001.dat ; VARIABLE: NAMES = smkdaily age race2 race3 race4 race5 male lgb2 lgb3 lgb4 srsmokr ntwrksmk extrindx venueid ; MISSING ARE ALL (-9999) ; CATEGORICAL = smkdaily ; cluster = venueid ; ANALYSIS: type = complex ; estimator = MLR ; algorithm = integration ; integration=montecarlo ; processors = 4 ; OUTPUT: cinterval ; MODEL: smkdaily ON race2 (r2) ; smkdaily ON race3 (r3) ; smkdaily ON race4 (r4) ; smkdaily ON race5 (r5) ; smkdaily ON lgb2 (s2) ; smkdaily ON lgb3 (s3) ; smkdaily ON lgb4 (s4) ; smkdaily ON age male srsmokr ntwrksmk extrindx ; age ; race2 ; race3 ; race4 ; race5 ; male ; lgb2 ; lgb3 ; lgb4 ; srsmokr ; ntwrksmk ; extrindx ; model test: s2 = 0 ; s3 = 0 ; s4 = 0 ; INPUT READING TERMINATED NORMALLY Variable List - smkdaily : 0: 0. No 1: 1. Yes age : Age. Age in Years race2 : race==2. Latino race3 : race==3. Non-Hispanic Black race4 : race==4. Non-Hispanic A/PI race5 : race==5. Non-Hispanic other male : Male. Male gender (yes/no) 0: 0. No 1: 1. Yes lgb2 : lgbtcat==2. Gay lgb3 : lgbtcat==3. Bisexual lgb4 : lgbtcat==4. Other srsmokr : SRSSmokr. PPT considers self a smoker (yes/no) 0: 0. No 1: 1. Yes ntwrksmk : Ntwrksmk. Friend, Coworker, Party friends' smoking extrindx : Extrindx. Extraversion index venueid : VenueID. Numeric recruitement venue (bar) ID number fr. Louisa Holmes SUMMARY OF ANALYSIS Number of groups 1 Number of observations 1217 Number of dependent variables 1 Number of independent variables 12 Number of continuous latent variables 0 Observed dependent variables Binary and ordered categorical (ordinal) SMKDAILY Observed independent variables AGE RACE2 RACE3 RACE4 RACE5 MALE LGB2 LGB3 LGB4 SRSMOKR NTWRKSMK EXTRINDX Variables with special functions Cluster variable VENUEID 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-02 Relative loglikelihood change 0.100D-05 Derivative 0.100D-02 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-02 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-02 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 Integration Specifications Type MONTECARLO Number of integration points 250 Dimensions of numerical integration 10 Adaptive quadrature ON Monte Carlo integration seed 0 Link LOGIT Cholesky OFF Input data file(s) __000001.dat Input data format FREE SUMMARY OF DATA Number of missing data patterns 21 Number of clusters 23 COVARIANCE COVERAGE OF DATA Minimum covariance coverage value 0.100 PROPORTION OF DATA PRESENT Covariance Coverage SMKDAILY AGE RACE2 RACE3 RACE4 ________ ________ ________ ________ ________ SMKDAILY 0.941 AGE 0.941 1.000 RACE2 0.934 0.992 0.992 RACE3 0.934 0.992 0.992 0.992 RACE4 0.934 0.992 0.992 0.992 0.992 RACE5 0.934 0.992 0.992 0.992 0.992 MALE 0.941 1.000 0.992 0.992 0.992 LGB2 0.937 0.996 0.988 0.988 0.988 LGB3 0.937 0.996 0.988 0.988 0.988 LGB4 0.937 0.996 0.988 0.988 0.988 SRSMOKR 0.657 0.705 0.698 0.698 0.698 NTWRKSMK 0.480 0.506 0.503 0.503 0.503 EXTRINDX 0.627 0.658 0.652 0.652 0.652 Covariance Coverage RACE5 MALE LGB2 LGB3 LGB4 ________ ________ ________ ________ ________ RACE5 0.992 MALE 0.992 1.000 LGB2 0.988 0.996 0.996 LGB3 0.988 0.996 0.996 0.996 LGB4 0.988 0.996 0.996 0.996 0.996 SRSMOKR 0.698 0.705 0.702 0.702 0.702 NTWRKSMK 0.503 0.506 0.505 0.505 0.505 EXTRINDX 0.652 0.658 0.656 0.656 0.656 Covariance Coverage SRSMOKR NTWRKSMK EXTRINDX ________ ________ ________ SRSMOKR 0.705 NTWRKSMK 0.251 0.506 EXTRINDX 0.397 0.227 0.658 PROPORTION OF DATA PRESENT FOR U Covariance Coverage SMKDAILY ________ SMKDAILY 0.941 PROPORTION OF DATA PRESENT FOR Y Covariance Coverage AGE RACE2 RACE3 RACE4 RACE5 ________ ________ ________ ________ ________ AGE 1.000 RACE2 0.992 0.992 RACE3 0.992 0.992 0.992 RACE4 0.992 0.992 0.992 0.992 RACE5 0.992 0.992 0.992 0.992 0.992 MALE 1.000 0.992 0.992 0.992 0.992 LGB2 0.996 0.988 0.988 0.988 0.988 LGB3 0.996 0.988 0.988 0.988 0.988 LGB4 0.996 0.988 0.988 0.988 0.988 SRSMOKR 0.705 0.698 0.698 0.698 0.698 NTWRKSMK 0.506 0.503 0.503 0.503 0.503 EXTRINDX 0.658 0.652 0.652 0.652 0.652 Covariance Coverage MALE LGB2 LGB3 LGB4 SRSMOKR ________ ________ ________ ________ ________ MALE 1.000 LGB2 0.996 0.996 LGB3 0.996 0.996 0.996 LGB4 0.996 0.996 0.996 0.996 SRSMOKR 0.705 0.702 0.702 0.702 0.705 NTWRKSMK 0.506 0.505 0.505 0.505 0.251 EXTRINDX 0.658 0.656 0.656 0.656 0.397 Covariance Coverage NTWRKSMK EXTRINDX ________ ________ NTWRKSMK 0.506 EXTRINDX 0.227 0.658 UNIVARIATE PROPORTIONS AND COUNTS FOR CATEGORICAL VARIABLES SMKDAILY Category 1 0.488 559.000 Category 2 0.512 586.000 THE MODEL ESTIMATION TERMINATED NORMALLY MODEL FIT INFORMATION Number of Free Parameters 103 Loglikelihood H0 Value -8007.875 H0 Scaling Correction Factor 1.3745 for MLR Information Criteria Akaike (AIC) 16221.750 Bayesian (BIC) 16747.477 Sample-Size Adjusted BIC 16420.307 (n* = (n + 2) / 24) Wald Test of Parameter Constraints Value 15.676 Degrees of Freedom 3 P-Value 0.0013 MODEL RESULTS Two-Tailed Estimate S.E. Est./S.E. P-Value SMKDAILY ON RACE2 -0.362 0.129 -2.799 0.005 RACE3 -0.360 0.294 -1.226 0.220 RACE4 -0.001 0.287 -0.002 0.998 RACE5 -0.523 0.245 -2.138 0.033 LGB2 0.095 0.261 0.363 0.717 LGB3 1.168 0.449 2.603 0.009 LGB4 0.653 0.371 1.760 0.078 AGE -0.021 0.042 -0.492 0.623 MALE 0.219 0.189 1.161 0.246 SRSMOKR 3.062 0.299 10.249 0.000 NTWRKSMK 0.188 0.022 8.680 0.000 EXTRINDX 0.147 0.075 1.968 0.049 RACE2 WITH AGE -0.021 0.019 -1.088 0.276 RACE3 WITH AGE -0.002 0.008 -0.264 0.792 RACE2 -0.011 0.001 -9.781 0.000 RACE4 WITH AGE -0.013 0.016 -0.811 0.418 RACE2 -0.028 0.004 -7.869 0.000 RACE3 -0.006 0.001 -7.399 0.000 RACE5 WITH AGE -0.002 0.013 -0.167 0.868 RACE2 -0.020 0.002 -8.751 0.000 RACE3 -0.005 0.001 -8.932 0.000 RACE4 -0.011 0.002 -5.186 0.000 MALE WITH AGE 0.063 0.032 1.981 0.048 RACE2 0.012 0.005 2.153 0.031 RACE3 0.001 0.004 0.320 0.749 RACE4 0.000 0.005 0.081 0.935 RACE5 -0.002 0.004 -0.550 0.582 LGB2 WITH AGE 0.010 0.012 0.884 0.377 RACE2 0.004 0.002 1.737 0.082 RACE3 0.003 0.002 2.112 0.035 RACE4 -0.005 0.002 -2.671 0.008 RACE5 0.005 0.002 2.442 0.015 MALE 0.008 0.003 2.346 0.019 LGB3 WITH AGE -0.013 0.010 -1.274 0.203 RACE2 0.002 0.003 0.659 0.510 RACE3 -0.002 0.001 -3.170 0.002 RACE4 0.000 0.002 -0.060 0.952 RACE5 0.001 0.001 0.636 0.525 MALE -0.015 0.004 -3.491 0.000 LGB2 -0.004 0.001 -5.898 0.000 LGB4 WITH AGE 0.007 0.016 0.426 0.670 RACE2 0.005 0.003 1.583 0.113 RACE3 -0.001 0.001 -1.766 0.077 RACE4 -0.001 0.002 -0.464 0.643 RACE5 0.005 0.002 2.439 0.015 MALE -0.004 0.003 -1.606 0.108 LGB2 -0.003 0.001 -5.270 0.000 LGB3 -0.002 0.000 -5.019 0.000 SRSMOKR WITH AGE -0.059 0.025 -2.395 0.017 RACE2 0.012 0.005 2.146 0.032 RACE3 0.001 0.003 0.271 0.786 RACE4 -0.002 0.005 -0.387 0.699 RACE5 -0.002 0.005 -0.439 0.660 MALE 0.033 0.006 5.155 0.000 LGB2 0.002 0.004 0.419 0.675 LGB3 0.005 0.004 1.397 0.163 LGB4 0.002 0.003 0.516 0.606 NTWRKSMK WITH AGE -0.418 0.166 -2.516 0.012 RACE2 0.072 0.037 1.966 0.049 RACE3 -0.032 0.023 -1.395 0.163 RACE4 -0.067 0.043 -1.568 0.117 RACE5 0.033 0.024 1.338 0.181 MALE 0.191 0.046 4.105 0.000 LGB2 0.025 0.026 0.957 0.339 LGB3 0.037 0.016 2.305 0.021 LGB4 0.020 0.021 0.952 0.341 SRSMOKR 0.490 0.029 16.764 0.000 EXTRINDX WITH AGE -0.047 0.122 -0.382 0.702 RACE2 0.023 0.018 1.308 0.191 RACE3 0.005 0.009 0.553 0.580 RACE4 -0.032 0.017 -1.895 0.058 RACE5 0.006 0.016 0.392 0.695 MALE 0.076 0.031 2.466 0.014 LGB2 0.019 0.017 1.127 0.260 LGB3 0.015 0.009 1.623 0.105 LGB4 -0.004 0.015 -0.305 0.760 SRSMOKR 0.184 0.038 4.780 0.000 NTWRKSMK 0.654 0.162 4.025 0.000 Means AGE 23.495 0.079 296.027 0.000 RACE2 0.226 0.016 13.967 0.000 RACE3 0.051 0.005 9.623 0.000 RACE4 0.123 0.015 8.238 0.000 RACE5 0.090 0.008 11.516 0.000 MALE 0.551 0.013 43.173 0.000 LGB2 0.068 0.012 5.746 0.000 LGB3 0.055 0.009 6.284 0.000 LGB4 0.044 0.004 11.295 0.000 SRSMOKR 0.301 0.024 12.564 0.000 NTWRKSMK 4.684 0.101 46.234 0.000 EXTRINDX 3.535 0.067 52.420 0.000 Thresholds SMKDAILY$1 1.616 1.050 1.540 0.124 Variances AGE 2.564 0.085 30.294 0.000 RACE2 0.175 0.009 19.719 0.000 RACE3 0.048 0.005 10.165 0.000 RACE4 0.108 0.011 9.571 0.000 RACE5 0.081 0.006 12.851 0.000 MALE 0.247 0.001 191.988 0.000 LGB2 0.063 0.010 6.190 0.000 LGB3 0.052 0.008 6.740 0.000 LGB4 0.042 0.004 11.893 0.000 SRSMOKR 0.213 0.010 21.220 0.000 NTWRKSMK 7.260 0.436 16.667 0.000 EXTRINDX 2.619 0.112 23.346 0.000 LOGISTIC REGRESSION ODDS RATIO RESULTS SMKDAILY ON RACE2 0.696 RACE3 0.698 RACE4 0.999 RACE5 0.593 LGB2 1.099 LGB3 3.214 LGB4 1.922 AGE 0.979 MALE 1.245 SRSMOKR 21.364 NTWRKSMK 1.207 EXTRINDX 1.158 QUALITY OF NUMERICAL RESULTS Condition Number for the Information Matrix 0.103E-06 (ratio of smallest to largest eigenvalue) CONFIDENCE INTERVALS OF MODEL RESULTS Lower .5% Lower 2.5% Lower 5% Estimate Upper 5% Upper 2.5% Upper .5% SMKDAILY ON RACE2 -0.696 -0.616 -0.575 -0.362 -0.149 -0.109 -0.029 RACE3 -1.117 -0.936 -0.843 -0.360 0.123 0.216 0.396 RACE4 -0.739 -0.563 -0.472 -0.001 0.471 0.561 0.738 RACE5 -1.153 -1.003 -0.926 -0.523 -0.121 -0.044 0.107 LGB2 -0.578 -0.417 -0.335 0.095 0.525 0.607 0.768 LGB3 0.012 0.288 0.430 1.168 1.906 2.047 2.323 LGB4 -0.303 -0.074 0.043 0.653 1.264 1.381 1.609 AGE -0.130 -0.104 -0.091 -0.021 0.049 0.062 0.089 MALE -0.267 -0.151 -0.091 0.219 0.529 0.588 0.704 SRSMOKR 2.292 2.476 2.570 3.062 3.553 3.647 3.831 NTWRKSMK 0.132 0.145 0.152 0.188 0.223 0.230 0.244 EXTRINDX -0.045 0.001 0.024 0.147 0.270 0.293 0.339 RACE2 WITH AGE -0.070 -0.058 -0.052 -0.021 0.011 0.017 0.028 RACE3 WITH AGE -0.022 -0.017 -0.015 -0.002 0.011 0.013 0.018 RACE2 -0.014 -0.014 -0.013 -0.011 -0.010 -0.009 -0.008 RACE4 WITH AGE -0.053 -0.043 -0.038 -0.013 0.013 0.018 0.028 RACE2 -0.037 -0.035 -0.034 -0.028 -0.022 -0.021 -0.019 RACE3 -0.008 -0.008 -0.008 -0.006 -0.005 -0.005 -0.004 RACE5 WITH AGE -0.036 -0.028 -0.024 -0.002 0.019 0.024 0.032 RACE2 -0.026 -0.025 -0.024 -0.020 -0.016 -0.016 -0.014 RACE3 -0.006 -0.006 -0.005 -0.005 -0.004 -0.004 -0.003 RACE4 -0.016 -0.015 -0.014 -0.011 -0.007 -0.007 -0.006 MALE WITH AGE -0.019 0.001 0.011 0.063 0.115 0.125 0.145 RACE2 -0.002 0.001 0.003 0.012 0.021 0.022 0.026 RACE3 -0.008 -0.006 -0.005 0.001 0.007 0.008 0.010 RACE4 -0.012 -0.009 -0.008 0.000 0.008 0.010 0.013 RACE5 -0.013 -0.011 -0.009 -0.002 0.005 0.006 0.009 LGB2 WITH AGE -0.020 -0.013 -0.009 0.010 0.030 0.033 0.040 RACE2 -0.002 0.000 0.000 0.004 0.007 0.008 0.009 RACE3 -0.001 0.000 0.001 0.003 0.006 0.006 0.007 RACE4 -0.010 -0.009 -0.008 -0.005 -0.002 -0.001 0.000 RACE5 0.000 0.001 0.002 0.005 0.008 0.009 0.010 MALE -0.001 0.001 0.002 0.008 0.014 0.015 0.017 LGB3 WITH AGE -0.040 -0.034 -0.031 -0.013 0.004 0.007 0.014 RACE2 -0.005 -0.003 -0.003 0.002 0.006 0.007 0.008 RACE3 -0.004 -0.003 -0.003 -0.002 -0.001 -0.001 0.000 RACE4 -0.006 -0.004 -0.004 0.000 0.003 0.004 0.006 RACE5 -0.003 -0.002 -0.002 0.001 0.003 0.004 0.005 MALE -0.026 -0.023 -0.022 -0.015 -0.008 -0.006 -0.004 LGB2 -0.005 -0.005 -0.005 -0.004 -0.003 -0.003 -0.002 LGB4 WITH AGE -0.033 -0.024 -0.019 0.007 0.032 0.037 0.047 RACE2 -0.003 -0.001 0.000 0.005 0.011 0.012 0.014 RACE3 -0.003 -0.003 -0.003 -0.001 0.000 0.000 0.001 RACE4 -0.007 -0.006 -0.005 -0.001 0.003 0.004 0.005 RACE5 0.000 0.001 0.002 0.005 0.008 0.008 0.010 MALE -0.011 -0.010 -0.009 -0.004 0.000 0.001 0.003 LGB2 -0.004 -0.004 -0.004 -0.003 -0.002 -0.002 -0.002 LGB3 -0.004 -0.003 -0.003 -0.002 -0.002 -0.001 -0.001 SRSMOKR WITH AGE -0.123 -0.107 -0.100 -0.059 -0.018 -0.011 0.004 RACE2 -0.002 0.001 0.003 0.012 0.021 0.023 0.026 RACE3 -0.007 -0.005 -0.004 0.001 0.006 0.007 0.009 RACE4 -0.015 -0.012 -0.010 -0.002 0.006 0.008 0.011 RACE5 -0.015 -0.012 -0.011 -0.002 0.006 0.008 0.011 MALE 0.017 0.020 0.022 0.033 0.044 0.046 0.050 LGB2 -0.009 -0.006 -0.005 0.002 0.008 0.010 0.012 LGB3 -0.004 -0.002 -0.001 0.005 0.011 0.013 0.015 LGB4 -0.006 -0.004 -0.003 0.002 0.007 0.007 0.009 NTWRKSMK WITH AGE -0.846 -0.744 -0.692 -0.418 -0.145 -0.092 0.010 RACE2 -0.022 0.000 0.012 0.072 0.133 0.145 0.167 RACE3 -0.092 -0.077 -0.070 -0.032 0.006 0.013 0.027 RACE4 -0.176 -0.150 -0.137 -0.067 0.003 0.017 0.043 RACE5 -0.030 -0.015 -0.007 0.033 0.073 0.080 0.096 MALE 0.071 0.100 0.114 0.191 0.267 0.282 0.311 LGB2 -0.043 -0.027 -0.018 0.025 0.069 0.077 0.094 LGB3 -0.004 0.005 0.011 0.037 0.063 0.068 0.078 LGB4 -0.033 -0.021 -0.014 0.020 0.053 0.060 0.073 SRSMOKR 0.415 0.433 0.442 0.490 0.538 0.547 0.565 EXTRINDX WITH AGE -0.361 -0.286 -0.247 -0.047 0.154 0.193 0.268 RACE2 -0.022 -0.012 -0.006 0.023 0.052 0.058 0.069 RACE3 -0.019 -0.013 -0.010 0.005 0.020 0.023 0.029 RACE4 -0.075 -0.065 -0.059 -0.032 -0.004 0.001 0.011 RACE5 -0.034 -0.025 -0.020 0.006 0.032 0.037 0.047 MALE -0.003 0.016 0.025 0.076 0.126 0.136 0.155 LGB2 -0.025 -0.014 -0.009 0.019 0.048 0.053 0.064 LGB3 -0.009 -0.003 0.000 0.015 0.030 0.032 0.038 LGB4 -0.042 -0.033 -0.028 -0.004 0.020 0.024 0.033 SRSMOKR 0.085 0.108 0.121 0.184 0.247 0.259 0.283 NTWRKSMK 0.235 0.335 0.387 0.654 0.921 0.972 1.072 Means AGE 23.290 23.339 23.364 23.495 23.625 23.650 23.699 RACE2 0.184 0.194 0.200 0.226 0.253 0.258 0.268 RACE3 0.037 0.040 0.042 0.051 0.059 0.061 0.064 RACE4 0.084 0.093 0.098 0.123 0.147 0.152 0.161 RACE5 0.070 0.074 0.077 0.090 0.103 0.105 0.110 MALE 0.518 0.526 0.530 0.551 0.572 0.576 0.583 LGB2 0.037 0.045 0.048 0.068 0.087 0.091 0.098 LGB3 0.033 0.038 0.041 0.055 0.070 0.073 0.078 LGB4 0.034 0.036 0.037 0.044 0.050 0.051 0.054 SRSMOKR 0.239 0.254 0.262 0.301 0.340 0.348 0.363 NTWRKSMK 4.423 4.485 4.517 4.684 4.851 4.883 4.945 EXTRINDX 3.362 3.403 3.425 3.535 3.646 3.668 3.709 Thresholds SMKDAILY$1 -1.088 -0.441 -0.111 1.616 3.344 3.674 4.321 Variances AGE 2.346 2.398 2.425 2.564 2.703 2.730 2.782 RACE2 0.152 0.158 0.160 0.175 0.190 0.192 0.198 RACE3 0.036 0.039 0.040 0.048 0.056 0.057 0.060 RACE4 0.079 0.086 0.089 0.108 0.126 0.130 0.137 RACE5 0.065 0.069 0.071 0.081 0.092 0.094 0.098 MALE 0.244 0.245 0.245 0.247 0.250 0.250 0.251 LGB2 0.037 0.043 0.046 0.063 0.080 0.083 0.089 LGB3 0.032 0.037 0.039 0.052 0.065 0.067 0.072 LGB4 0.033 0.035 0.036 0.042 0.048 0.049 0.051 SRSMOKR 0.187 0.193 0.196 0.213 0.229 0.232 0.239 NTWRKSMK 6.138 6.406 6.543 7.260 7.977 8.114 8.382 EXTRINDX 2.330 2.399 2.434 2.619 2.803 2.839 2.908 CONFIDENCE INTERVALS FOR THE LOGISTIC REGRESSION ODDS RATIO RESULTS SMKDAILY ON RACE2 0.499 0.540 0.563 0.696 0.861 0.897 0.971 RACE3 0.327 0.392 0.430 0.698 1.131 1.241 1.487 RACE4 0.477 0.570 0.624 0.999 1.602 1.753 2.092 RACE5 0.316 0.367 0.396 0.593 0.886 0.957 1.113 LGB2 0.561 0.659 0.715 1.099 1.690 1.835 2.155 LGB3 1.012 1.334 1.537 3.214 6.723 7.744 10.207 LGB4 0.739 0.928 1.043 1.922 3.538 3.977 4.999 AGE 0.878 0.901 0.913 0.979 1.050 1.064 1.093 MALE 0.766 0.860 0.913 1.245 1.697 1.801 2.023 SRSMOKR 9.897 11.896 13.070 21.364 34.922 38.367 46.116 NTWRKSMK 1.141 1.157 1.164 1.207 1.250 1.259 1.276 EXTRINDX 0.956 1.001 1.024 1.158 1.310 1.341 1.404 Beginning Time: 14:44:18 Ending Time: 14:44:37 Elapsed Time: 00:00:19 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) 1998-2014 Muthen & Muthen . . log close name: log: C:\Users\tneilands\Box Sync\My Documents\CAPS\Methods Core\Presentations\Missing Data 2015\Part 1\Example 1 an > d 2\Tobacco_Bar_Planned_Missingness_Study_FIML.log log type: text closed on: 13 Feb 2015, 14:44:37 ---------------------------------------------------------------------------------------------------------------------------