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Log
Log - Log - May 7, 2016

* Encoding: UTF-8.

******************************************************************************************.
******         Measuring Individual Differences in Responses to                    *******.
******          Date-Rape Vignette Using Latent Variable Models                    *******.
******           Tuliao, Hoffman, & McChargue, in press                            *******.
******************************************************************************************.

* Define location of SPSS data file used in examples -- CHANGE THIS.
FILE HANDLE example /NAME = "C:\Dropbox\Vignette_Example".
GET FILE = 'example/Vignette_SPSS_Data.sav'.
DATASET NAME example WINDOW=FRONT.
EXECUTE.

*******************************************************************************************.
******               Exporting Data for Use in Mplus                               ********.
*******************************************************************************************.

* Fill in missing values with -9999.
*DATASET ACTIVATE example.
*RECODE Sample StopPt C_DV01 TO C_DV18 (SYSMIS = -9999) (ELSE=COPY).
* Export to csv for use in Mplus.
*SAVE TRANSLATE OUTFILE='example/Vignette.csv'
*     /TYPE=CSV /REPLACE.

*******************************************************************************************.
******     Conventional Ways of Analyzing Date-Rape Vignette Data                  ********.
******                       Between Groups ANOVA                                  ********.
*******************************************************************************************.

DATASET ACTIVATE example.
ECHO 'Supplemental Material Equation 1: BG ANOVA Model on Stopping Point'.
Supplemental Material Equation 1: BG ANOVA Model on Stopping Point
MIXED StopPt BY sample
  /FIXED   = sample
  /METHOD  = REML
  /PRINT   = SOLUTION
  /EMMEANS = TABLES(sample).

Mixed Model Analysis
Mixed Model Analysis - Active Dataset - May 7, 2016


[example] C:\Dropbox\Vignette_Example\Vignette_SPSS_Data.sav

Mixed Model Analysis
Mixed Model Analysis - Model Dimension - May 7, 2016
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 4 columns and 7 rows
  Number of Levels Number of Parameters
Fixed Effects Intercept 1 1
Sample 2 1
Residual   1
Total 3 3
a. Dependent Variable: Stopping Point.
Mixed Model Analysis
Mixed Model Analysis - Information Criteria - May 7, 2016
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 2260.415
Akaike's Information Criterion (AIC) 2262.415
Hurvich and Tsai's Criterion (AICC) 2262.425
Bozdogan's Criterion (CAIC) 2267.419
Schwarz's Bayesian Criterion (BIC) 2266.419
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: Stopping Point.
Fixed Effects
Fixed Effects - Type III Tests of Fixed Effects - May 7, 2016
Type III Tests of Fixed EffectsaType III Tests of Fixed Effects, table, 1 levels of column headers and 1 levels of row headers, table with 5 columns and 5 rows
Source Numerator df Denominator df F Sig.
Intercept 1 405 640.507 .000
Sample 1 405 18.364 .000
a. Dependent Variable: Stopping Point.
Fixed Effects
Fixed Effects - Estimates of Fixed Effects - May 7, 2016
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 8 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 4.097701 .294956 405 13.893 .000 3.517865 4.677537
[Sample=.00] 1.670539 .389831 405 4.285 .000 .904194 2.436884
[Sample=1.00] 0b 0 . . . . .
a. Dependent Variable: Stopping Point.
b. This parameter is set to zero because it is redundant.
Covariance Parameters
Covariance Parameters - Estimates of Covariance Parameters - May 7, 2016
Estimates of Covariance ParametersaEstimates of Covariance Parameters, table, 1 levels of column headers and 1 levels of row headers, table with 3 columns and 4 rows
Parameter Estimate Std. Error
Residual 15.137837 1.063779
a. Dependent Variable: Stopping Point.
Estimated Marginal Means
Estimated Marginal Means - Country (0=US, 1=Philippines) - May 7, 2016
Country (0=US, 1=Philippines)aCountry (0=US, 1=Philippines), table, 2 levels of column headers and 1 levels of row headers, table with 6 columns and 6 rows
Country (0=US, 1=Philippines) Mean Std. Error df 95% Confidence Interval
Lower Bound Upper Bound
US 5.768 .255 405 5.267 6.269
Philippines 4.098 .295 405 3.518 4.678
a. Dependent Variable: Stopping Point.
Log
Log - Log - May 7, 2016


ECHO 'Supplemental Material Equation 1: BG ANOVA Model on E06'.
Supplemental Material Equation 1: BG ANOVA Model on E06
MIXED C_DV06 BY sample
  /FIXED   = sample
  /METHOD  = REML
  /PRINT   = SOLUTION
  /EMMEANS = TABLES(sample).

Mixed Model Analysis
Mixed Model Analysis - Model Dimension - May 7, 2016
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 4 columns and 7 rows
  Number of Levels Number of Parameters
Fixed Effects Intercept 1 1
Sample 2 1
Residual   1
Total 3 3
a. Dependent Variable: Comfort Level at Time 6.
Mixed Model Analysis
Mixed Model Analysis - Information Criteria - May 7, 2016
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 1074.696
Akaike's Information Criterion (AIC) 1076.696
Hurvich and Tsai's Criterion (AICC) 1076.706
Bozdogan's Criterion (CAIC) 1081.688
Schwarz's Bayesian Criterion (BIC) 1080.688
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: Comfort Level at Time 6.
Fixed Effects
Fixed Effects - Type III Tests of Fixed Effects - May 7, 2016
Type III Tests of Fixed EffectsaType III Tests of Fixed Effects, table, 1 levels of column headers and 1 levels of row headers, table with 5 columns and 5 rows
Source Numerator df Denominator df F Sig.
Intercept 1 400 1584.416 .000
Sample 1 400 60.042 .000
a. Dependent Variable: Comfort Level at Time 6.
Fixed Effects
Fixed Effects - Estimates of Fixed Effects - May 7, 2016
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 8 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 1.479532 .069974 400 21.144 .000 1.341969 1.617095
[Sample=.00] .715273 .092309 400 7.749 .000 .533801 .896745
[Sample=1.00] 0b 0 . . . . .
a. Dependent Variable: Comfort Level at Time 6.
b. This parameter is set to zero because it is redundant.
Covariance Parameters
Covariance Parameters - Estimates of Covariance Parameters - May 7, 2016
Estimates of Covariance ParametersaEstimates of Covariance Parameters, table, 1 levels of column headers and 1 levels of row headers, table with 3 columns and 4 rows
Parameter Estimate Std. Error
Residual .837280 .059205
a. Dependent Variable: Comfort Level at Time 6.
Estimated Marginal Means
Estimated Marginal Means - Country (0=US, 1=Philippines) - May 7, 2016
Country (0=US, 1=Philippines)aCountry (0=US, 1=Philippines), table, 2 levels of column headers and 1 levels of row headers, table with 6 columns and 6 rows
Country (0=US, 1=Philippines) Mean Std. Error df 95% Confidence Interval
Lower Bound Upper Bound
US 2.195 .060 400 2.076 2.313
Philippines 1.480 .070 400 1.342 1.617
a. Dependent Variable: Comfort Level at Time 6.
Log
Log - Log - May 7, 2016


*******************************************************************************************.
******     Stacking Data and Creating Piecewise Slopes for Event Phases            ********.
******                        (see Table 2)                                        ********.
*******************************************************************************************.

* Reshape the data from a wide format to a long format to run MLM in SPSS.
VARSTOCASES
  /MAKE Comfort FROM C_DV01 TO C_DV18
  /INDEX = Event
  /DROP C_DV01 TO C_DV18.

Variables to Cases
Variables to Cases - Generated Variables - May 7, 2016
Generated VariablesGenerated Variables, table, 1 levels of column headers and 0 levels of row headers, table with 2 columns and 4 rows
Name Label
Event <none>
Comfort Comfort Level at Time 1
Variables to Cases
Variables to Cases - Processing Statistics - May 7, 2016
Processing StatisticsProcessing Statistics, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 3 rows
Variables In 21
Variables Out 5
Log
Log - Log - May 7, 2016

VARIABLE LABELS Event 'Vignette Event' Comfort 'Comfort Outcome'.
DATASET NAME example_stacked WINDOW=FRONT.

* Create piecewise slopes for event phases.
DO IF (Event=1).
   DO REPEAT phase=phase1 to phase8
      /value1 = 0 0 0 0 0 0 0 0.
   COMPUTE phase=value1.
   END REPEAT.
ELSE IF (Event=2).
   DO REPEAT phase=phase1 to phase8
      /value2 = 1 0 0 0 0 0 0 0.
   COMPUTE phase=value2.
   END REPEAT.
ELSE IF (Event=3).
   DO REPEAT phase=phase1 to phase8
      /value3 = 2 0 0 0 0 0 0 0.
   COMPUTE phase=value3.
   END REPEAT.
ELSE IF (Event=4).
   DO REPEAT phase=phase1 to phase8
      /value4 = 3 0 0 0 0 0 0 0.
   COMPUTE phase=value4.
   END REPEAT.
ELSE IF (Event=5).
   DO REPEAT phase=phase1 to phase8
      /value5 = 4 0 0 0 0 0 0 0.
   COMPUTE phase=value5.
   END REPEAT.
ELSE IF (Event=6).
   DO REPEAT phase=phase1 to phase8
      /value6 = 4 1 0 0 0 0 0 0.
   COMPUTE phase=value6.
   END REPEAT.
ELSE IF (Event=7).
      DO REPEAT phase=phase1 to phase8
      /value7 = 4 1 1 0 0 0 0 0.
   COMPUTE phase=value7.
   END REPEAT.
ELSE IF (Event=8).
   DO REPEAT phase=phase1 to phase8
      /value8 = 4 1 1 1 0 0 0 0.
   COMPUTE phase=value8.
   END REPEAT.
ELSE IF (Event=9).
   DO REPEAT phase=phase1 to phase8
      /value9 = 4 1 1 2 0 0 0 0.
   COMPUTE phase=value9.
   END REPEAT.
ELSE IF (Event=10).
   DO REPEAT phase=phase1 to phase8
      /value10 = 4 1 1 2 1 0 0 0.
   COMPUTE phase=value10.
   END REPEAT.
ELSE IF (Event=11).
   DO REPEAT phase=phase1 to phase8
      /value11 = 4 1 1 2 2 0 0 0.
   COMPUTE phase=value11.
   END REPEAT.
ELSE IF (Event=12).
   DO REPEAT phase=phase1 to phase8
      /value12 = 4 1 1 2 2 1 0 0.
   COMPUTE phase=value12.
   END REPEAT.
ELSE IF (Event=13).
   DO REPEAT phase=phase1 to phase8
      /value13 = 4 1 1 2 2 1 1 0.
   COMPUTE phase=value13.
   END REPEAT.
ELSE IF (Event=14).
   DO REPEAT phase=phase1 to phase8
      /value14 = 4 1 1 2 2 1 2 0.
   COMPUTE phase=value14.
   END REPEAT.
ELSE IF (Event=15).
   DO REPEAT phase=phase1 to phase8
      /value15 = 4 1 1 2 2 1 2 1.
   COMPUTE phase=value15.
   END REPEAT.
ELSE IF (Event=16).
   DO REPEAT phase=phase1 to phase8
      /value16 = 4 1 1 2 2 1 2 2.
   COMPUTE phase=value16.
   END REPEAT.
ELSE IF (Event=17).
   DO REPEAT phase=phase1 to phase8
      /value17 = 4 1 1 2 2 1 2 3.
   COMPUTE phase=value17.
   END REPEAT.
ELSE IF (Event=18).
   DO REPEAT phase=phase1 to phase8
      /value18 = 4 1 1 2 2 1 2 4.
   COMPUTE phase=value18.
   END REPEAT.
END IF.
EXECUTE.

*******************************************************************************************.
******                       Multilevel Models                                     ********.
*******************************************************************************************.

DATASET ACTIVATE example_stacked.
* This takes a very long time to estimate in SPSS.
ECHO "Saturated Means, Unstructured Variance Model on Comfort at 18 Events".
Saturated Means, Unstructured Variance Model on Comfort at 18 Events
ECHO "Used to make Figure 1".
Used to make Figure 1
MIXED comfort BY PersonID event
 /METHOD   = ML
 /PRINT    = SOLUTION TESTCOV R
 /FIXED    = event
 /REPEATED = event | SUBJECT(PersonID) COVTYPE(UN)
 /EMMEANS  = TABLES(event).

Mixed Model Analysis
Mixed Model Analysis - Active Dataset - May 7, 2016


[example_stacked] C:\Dropbox\Vignette_Example\Vignette_SPSS_Data.sav

Mixed Model Analysis
Mixed Model Analysis - Model Dimension - May 7, 2016
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 7 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Event 18   17    
Repeated Effects Event 18 Unstructured 171 PersonID 407
Total 37   189    
a. Dependent Variable: Comfort Outcome.
Mixed Model Analysis
Mixed Model Analysis - Information Criteria - May 7, 2016
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Log Likelihood 10307.863
Akaike's Information Criterion (AIC) 10685.863
Hurvich and Tsai's Criterion (AICC) 10696.097
Bozdogan's Criterion (CAIC) 12175.740
Schwarz's Bayesian Criterion (BIC) 11986.740
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: Comfort Outcome.
Fixed Effects
Fixed Effects - Type III Tests of Fixed Effects - May 7, 2016
Type III Tests of Fixed EffectsaType III Tests of Fixed Effects, table, 1 levels of column headers and 1 levels of row headers, table with 5 columns and 5 rows
Source Numerator df Denominator df F Sig.
Intercept 1 405.634 4002.773 .000
Event 17 393.408 112.659 .000
a. Dependent Variable: Comfort Outcome.
Fixed Effects
Fixed Effects - Estimates of Fixed Effects - May 7, 2016
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 24 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 1.080000 .020266 401.364 53.291 .000 1.040160 1.119841
[Event=1] 2.175758 .055388 407.516 39.282 .000 2.066876 2.284639
[Event=2] 1.722731 .057464 405.794 29.979 .000 1.609767 1.835696
[Event=3] 1.900825 .056124 405.428 33.868 .000 1.790495 2.011155
[Event=4] 1.660836 .063042 405.345 26.345 .000 1.536907 1.784766
[Event=5] 1.583397 .065258 405.030 24.263 .000 1.455110 1.711685
[Event=6] .805313 .050138 403.288 16.062 .000 .706747 .903878
[Event=7] 1.159844 .054800 403.575 21.165 .000 1.052115 1.267572
[Event=8] .765930 .046074 403.988 16.624 .000 .675356 .856504
[Event=9] .418441 .035910 397.734 11.653 .000 .347845 .489038
[Event=10] .487280 .042775 404.421 11.392 .000 .403190 .571370
[Event=11] .684577 .049907 404.799 13.717 .000 .586468 .782687
[Event=12] .129694 .026262 398.425 4.938 .000 .078064 .181323
[Event=13] .223772 .034215 398.710 6.540 .000 .156506 .291037
[Event=14] .317704 .034897 392.545 9.104 .000 .249096 .386312
[Event=15] .081139 .022863 392.112 3.549 .000 .036190 .126088
[Event=16] .030768 .021230 401.009 1.449 .148 -.010968 .072503
[Event=17] -.003394 .019276 382.979 -.176 .860 -.041293 .034505
[Event=18] 0b 0 . . . . .
a. Dependent Variable: Comfort Outcome.
b. This parameter is set to zero because it is redundant.
Covariance Parameters
Covariance Parameters - Estimates of Covariance Parameters - May 7, 2016
Estimates of Covariance ParametersaEstimates of Covariance Parameters, table, 2 levels of column headers and 2 levels of row headers, table with 8 columns and 175 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures UN (1,1) 1.103236 .077590 14.219 .000 .961179 1.266289
UN (2,1) .849640 .071853 11.825 .000 .708811 .990470
UN (2,2) 1.240364 .087207 14.223 .000 1.080695 1.423623
UN (3,1) .777603 .068492 11.353 .000 .643362 .911844
UN (3,2) .970700 .076953 12.614 .000 .819874 1.121525
UN (3,3) 1.170014 .082358 14.206 .000 1.019235 1.343098
UN (4,1) .839421 .076709 10.943 .000 .689074 .989767
UN (4,2) 1.118796 .088049 12.707 .000 .946224 1.291368
UN (4,3) 1.058916 .084689 12.504 .000 .892929 1.224903
UN (4,4) 1.515461 .106776 14.193 .000 1.319992 1.739876
UN (5,1) .807437 .077592 10.406 .000 .655360 .959514
UN (5,2) 1.031721 .087076 11.849 .000 .861056 1.202387
UN (5,3) 1.014243 .084887 11.948 .000 .847867 1.180618
UN (5,4) 1.388030 .104027 13.343 .000 1.184140 1.591919
UN (5,5) 1.608207 .113259 14.199 .000 1.400863 1.846241
UN (6,1) .489898 .056781 8.628 .000 .378609 .601186
UN (6,2) .685275 .064146 10.683 .000 .559550 .810999
UN (6,3) .607510 .060769 9.997 .000 .488405 .726616
UN (6,4) .867108 .073945 11.726 .000 .722179 1.012037
UN (6,5) .946060 .077723 12.172 .000 .793725 1.098395
UN (6,6) .957937 .067506 14.190 .000 .834358 1.099819
UN (7,1) .574900 .062885 9.142 .000 .451647 .698152
UN (7,2) .756059 .070150 10.778 .000 .618567 .893552
UN (7,3) .761713 .068837 11.065 .000 .626795 .896631
UN (7,4) .951267 .080846 11.766 .000 .792812 1.109721
UN (7,5) 1.025885 .084670 12.116 .000 .859935 1.191834
UN (7,6) .754377 .064171 11.756 .000 .628604 .880149
UN (7,7) 1.138518 .080324 14.174 .000 .991485 1.307354
UN (8,1) .399727 .052094 7.673 .000 .297625 .501830
UN (8,2) .586949 .058780 9.986 .000 .471743 .702155
UN (8,3) .510147 .055680 9.162 .000 .401017 .619277
UN (8,4) .731796 .067191 10.891 .000 .600105 .863487
UN (8,5) .770305 .069661 11.058 .000 .633773 .906838
UN (8,6) .662516 .055684 11.898 .000 .553377 .771656
UN (8,7) .749843 .061575 12.178 .000 .629157 .870529
UN (8,8) .845028 .059621 14.173 .000 .735892 .970349
UN (9,1) .212742 .039356 5.406 .000 .135606 .289879
UN (9,2) .371783 .044212 8.409 .000 .285129 .458437
UN (9,3) .315141 .041999 7.504 .000 .232824 .397457
UN (9,4) .440387 .049525 8.892 .000 .343321 .537453
UN (9,5) .469382 .051359 9.139 .000 .368721 .570043
UN (9,6) .457869 .042017 10.897 .000 .375518 .540220
UN (9,7) .472039 .045145 10.456 .000 .383557 .560522
UN (9,8) .500660 .041498 12.065 .000 .419325 .581995
UN (9,9) .523420 .036890 14.189 .000 .455888 .600955
UN (10,1) .289926 .047653 6.084 .000 .196528 .383325
UN (10,2) .457368 .053233 8.592 .000 .353033 .561704
UN (10,3) .388035 .050527 7.680 .000 .289005 .487065
UN (10,4) .522445 .059196 8.826 .000 .406423 .638467
UN (10,5) .544418 .061112 8.909 .000 .424641 .664195
UN (10,6) .522635 .049649 10.527 .000 .425325 .619946
UN (10,7) .567207 .054067 10.491 .000 .461237 .673176
UN (10,8) .543186 .048064 11.301 .000 .448982 .637390
UN (10,9) .470675 .039074 12.046 .000 .394091 .547259
UN (10,10) .751814 .052978 14.191 .000 .654830 .863161
UN (11,1) .360713 .055916 6.451 .000 .251120 .470306
UN (11,2) .540891 .062188 8.698 .000 .419004 .662778
UN (11,3) .499237 .059798 8.349 .000 .382035 .616439
UN (11,4) .677590 .070602 9.597 .000 .539212 .815968
UN (11,5) .705042 .072878 9.674 .000 .562204 .847879
UN (11,6) .632921 .058496 10.820 .000 .518270 .747572
UN (11,7) .716575 .064483 11.113 .000 .590190 .842959
UN (11,8) .636774 .056134 11.344 .000 .526754 .746795
UN (11,9) .501375 .044164 11.352 .000 .414814 .587936
UN (11,10) .736308 .057015 12.914 .000 .624561 .848055
UN (11,11) 1.019626 .071927 14.176 .000 .887963 1.170811
UN (12,1) .091807 .027868 3.294 .001 .037187 .146427
UN (12,2) .196637 .030756 6.393 .000 .136356 .256917
UN (12,3) .147237 .029216 5.040 .000 .089974 .204499
UN (12,4) .210498 .033875 6.214 .000 .144104 .276892
UN (12,5) .216943 .034891 6.218 .000 .148557 .285329
UN (12,6) .244529 .028364 8.621 .000 .188936 .300122
UN (12,7) .244223 .030452 8.020 .000 .184538 .303908
UN (12,8) .257932 .027280 9.455 .000 .204464 .311400
UN (12,9) .269294 .023203 11.606 .000 .223817 .314771
UN (12,10) .316790 .027638 11.462 .000 .262620 .370960
UN (12,11) .324836 .030993 10.481 .000 .264090 .385581
UN (12,12) .275930 .019440 14.194 .000 .240341 .316789
UN (13,1) -.053100 .037069 -1.432 .152 -.125754 .019554
UN (13,2) .032180 .039178 .821 .411 -.044607 .108967
UN (13,3) .075756 .038148 1.986 .047 .000988 .150525
UN (13,4) .054299 .043314 1.254 .210 -.030595 .139192
UN (13,5) .098580 .044813 2.200 .028 .010748 .186412
UN (13,6) .143398 .035223 4.071 .000 .074362 .212434
UN (13,7) .192492 .038668 4.978 .000 .116704 .268280
UN (13,8) .182053 .033539 5.428 .000 .116318 .247789
UN (13,9) .211232 .027508 7.679 .000 .157317 .265148
UN (13,10) .214814 .032275 6.656 .000 .151557 .278072
UN (13,11) .238121 .037432 6.361 .000 .164756 .311486
UN (13,12) .226752 .021645 10.476 .000 .184329 .269175
UN (13,13) .496643 .035098 14.150 .000 .432404 .570426
UN (14,1) .100170 .038532 2.600 .009 .024648 .175692
UN (14,2) .175879 .041422 4.246 .000 .094694 .257064
UN (14,3) .186096 .040305 4.617 .000 .107099 .265093
UN (14,4) .226903 .046083 4.924 .000 .136582 .317224
UN (14,5) .268000 .047887 5.596 .000 .174142 .361857
UN (14,6) .254219 .037731 6.738 .000 .180267 .328171
UN (14,7) .321108 .042063 7.634 .000 .238666 .403550
UN (14,8) .302856 .036625 8.269 .000 .231073 .374638
UN (14,9) .287692 .029908 9.619 .000 .229072 .346311
UN (14,10) .324514 .035363 9.177 .000 .255204 .393824
UN (14,11) .383304 .041326 9.275 .000 .302307 .464302
UN (14,12) .236016 .022380 10.546 .000 .192151 .279880
UN (14,13) .329804 .030447 10.832 .000 .270129 .389480
UN (14,14) .529217 .037359 14.166 .000 .460835 .607747
UN (15,1) .060261 .026252 2.295 .022 .008808 .111713
UN (15,2) .115125 .028310 4.067 .000 .059639 .170610
UN (15,3) .095551 .027279 3.503 .000 .042084 .149018
UN (15,4) .123121 .031209 3.945 .000 .061953 .184289
UN (15,5) .127271 .032116 3.963 .000 .064324 .190217
UN (15,6) .161459 .025707 6.281 .000 .111074 .211844
UN (15,7) .166895 .027749 6.014 .000 .112508 .221282
UN (15,8) .182416 .024557 7.428 .000 .134285 .230546
UN (15,9) .207191 .020791 9.966 .000 .166442 .247940
UN (15,10) .220129 .024151 9.115 .000 .172795 .267463
UN (15,11) .215426 .027252 7.905 .000 .162013 .268838
UN (15,12) .185437 .016025 11.571 .000 .154027 .216846
UN (15,13) .206639 .020373 10.143 .000 .166708 .246570
UN (15,14) .224961 .021362 10.531 .000 .183092 .266830
UN (15,15) .247408 .017672 14.000 .000 .215086 .284587
UN (16,1) .018677 .023430 .797 .425 -.027245 .064598
UN (16,2) .040886 .024907 1.642 .101 -.007932 .089704
UN (16,3) .028571 .024110 1.185 .236 -.018684 .075825
UN (16,4) .042971 .027494 1.563 .118 -.010917 .096859
UN (16,5) .031769 .028271 1.124 .261 -.023641 .087179
UN (16,6) .083824 .022313 3.757 .000 .040091 .127556
UN (16,7) .064170 .023943 2.680 .007 .017243 .111097
UN (16,8) .110832 .021172 5.235 .000 .069336 .152328
UN (16,9) .139428 .017640 7.904 .000 .104855 .174001
UN (16,10) .131917 .020374 6.475 .000 .091985 .171849
UN (16,11) .114826 .023160 4.958 .000 .069433 .160219
UN (16,12) .127296 .013367 9.523 .000 .101097 .153495
UN (16,13) .139186 .017108 8.136 .000 .105655 .172717
UN (16,14) .141204 .017616 8.016 .000 .106678 .175731
UN (16,15) .153586 .013508 11.370 .000 .127110 .180062
UN (16,16) .198544 .014069 14.112 .000 .172798 .228126
UN (17,1) .011813 .020643 .572 .567 -.028647 .052272
UN (17,2) .047762 .022119 2.159 .031 .004410 .091115
UN (17,3) .027327 .021345 1.280 .200 -.014509 .069162
UN (17,4) .055153 .024427 2.258 .024 .007277 .103029
UN (17,5) .046990 .025079 1.874 .061 -.002165 .096144
UN (17,6) .086624 .019869 4.360 .000 .047683 .125566
UN (17,7) .075644 .021327 3.547 .000 .033844 .117443
UN (17,8) .104953 .018826 5.575 .000 .068055 .141851
UN (17,9) .131536 .015770 8.341 .000 .100627 .162444
UN (17,10) .121485 .018101 6.711 .000 .086007 .156963
UN (17,11) .116124 .020680 5.615 .000 .075592 .156655
UN (17,12) .119502 .011990 9.967 .000 .096002 .143002
UN (17,13) .119867 .015794 7.589 .000 .088911 .150823
UN (17,14) .115041 .016217 7.094 .000 .083256 .146826
UN (17,15) .145225 .012498 11.620 .000 .120730 .169720
UN (17,16) .132491 .011033 12.009 .000 .110868 .154115
UN (17,17) .155386 .011033 14.084 .000 .135199 .178587
UN (18,1) .015936 .021349 .746 .455 -.025907 .057779
UN (18,2) .034930 .022695 1.539 .124 -.009551 .079410
UN (18,3) .030778 .021975 1.401 .161 -.012292 .073848
UN (18,4) .037939 .025100 1.512 .131 -.011257 .087135
UN (18,5) .026979 .025856 1.043 .297 -.023698 .077655
UN (18,6) .054562 .020177 2.704 .007 .015015 .094108
UN (18,7) .046790 .021836 2.143 .032 .003993 .089587
UN (18,8) .077788 .019053 4.083 .000 .040445 .115131
UN (18,9) .084631 .015453 5.477 .000 .054343 .114919
UN (18,10) .089996 .018133 4.963 .000 .054457 .125535
UN (18,11) .091599 .020941 4.374 .000 .050556 .132643
UN (18,12) .081955 .011486 7.135 .000 .059444 .104467
UN (18,13) .096211 .015099 6.372 .000 .066617 .125804
UN (18,14) .103566 .015823 6.545 .000 .072554 .134578
UN (18,15) .101569 .011429 8.887 .000 .079168 .123970
UN (18,16) .091393 .010129 9.023 .000 .071541 .111245
UN (18,17) .085700 .009163 9.352 .000 .067740 .103660
UN (18,18) .164184 .011626 14.122 .000 .142909 .188628
a. Dependent Variable: Comfort Outcome.  
Mixed Model Analysis
Mixed Model Analysis - Residual Covariance (R) Matrix - May 7, 2016
Residual Covariance (R) MatrixaResidual Covariance (R) Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 19 columns and 22 rows
  [Event = 1] [Event = 2] [Event = 3] [Event = 4] [Event = 5] [Event = 6] [Event = 7] [Event = 8] [Event = 9] [Event = 10] [Event = 11] [Event = 12] [Event = 13] [Event = 14] [Event = 15] [Event = 16] [Event = 17] [Event = 18]
[Event = 1] 1.103236 .849640 .777603 .839421 .807437 .489898 .574900 .399727 .212742 .289926 .360713 .091807 -.053100 .100170 .060261 .018677 .011813 .015936
[Event = 2] .849640 1.240364 .970700 1.118796 1.031721 .685275 .756059 .586949 .371783 .457368 .540891 .196637 .032180 .175879 .115125 .040886 .047762 .034930
[Event = 3] .777603 .970700 1.170014 1.058916 1.014243 .607510 .761713 .510147 .315141 .388035 .499237 .147237 .075756 .186096 .095551 .028571 .027327 .030778
[Event = 4] .839421 1.118796 1.058916 1.515461 1.388030 .867108 .951267 .731796 .440387 .522445 .677590 .210498 .054299 .226903 .123121 .042971 .055153 .037939
[Event = 5] .807437 1.031721 1.014243 1.388030 1.608207 .946060 1.025885 .770305 .469382 .544418 .705042 .216943 .098580 .268000 .127271 .031769 .046990 .026979
[Event = 6] .489898 .685275 .607510 .867108 .946060 .957937 .754377 .662516 .457869 .522635 .632921 .244529 .143398 .254219 .161459 .083824 .086624 .054562
[Event = 7] .574900 .756059 .761713 .951267 1.025885 .754377 1.138518 .749843 .472039 .567207 .716575 .244223 .192492 .321108 .166895 .064170 .075644 .046790
[Event = 8] .399727 .586949 .510147 .731796 .770305 .662516 .749843 .845028 .500660 .543186 .636774 .257932 .182053 .302856 .182416 .110832 .104953 .077788
[Event = 9] .212742 .371783 .315141 .440387 .469382 .457869 .472039 .500660 .523420 .470675 .501375 .269294 .211232 .287692 .207191 .139428 .131536 .084631
[Event = 10] .289926 .457368 .388035 .522445 .544418 .522635 .567207 .543186 .470675 .751814 .736308 .316790 .214814 .324514 .220129 .131917 .121485 .089996
[Event = 11] .360713 .540891 .499237 .677590 .705042 .632921 .716575 .636774 .501375 .736308 1.019626 .324836 .238121 .383304 .215426 .114826 .116124 .091599
[Event = 12] .091807 .196637 .147237 .210498 .216943 .244529 .244223 .257932 .269294 .316790 .324836 .275930 .226752 .236016 .185437 .127296 .119502 .081955
[Event = 13] -.053100 .032180 .075756 .054299 .098580 .143398 .192492 .182053 .211232 .214814 .238121 .226752 .496643 .329804 .206639 .139186 .119867 .096211
[Event = 14] .100170 .175879 .186096 .226903 .268000 .254219 .321108 .302856 .287692 .324514 .383304 .236016 .329804 .529217 .224961 .141204 .115041 .103566
[Event = 15] .060261 .115125 .095551 .123121 .127271 .161459 .166895 .182416 .207191 .220129 .215426 .185437 .206639 .224961 .247408 .153586 .145225 .101569
[Event = 16] .018677 .040886 .028571 .042971 .031769 .083824 .064170 .110832 .139428 .131917 .114826 .127296 .139186 .141204 .153586 .198544 .132491 .091393
[Event = 17] .011813 .047762 .027327 .055153 .046990 .086624 .075644 .104953 .131536 .121485 .116124 .119502 .119867 .115041 .145225 .132491 .155386 .085700
[Event = 18] .015936 .034930 .030778 .037939 .026979 .054562 .046790 .077788 .084631 .089996 .091599 .081955 .096211 .103566 .101569 .091393 .085700 .164184
Unstructured
a. Dependent Variable: Comfort Outcome.
Estimated Marginal Means
Estimated Marginal Means - Vignette Event - May 7, 2016
Vignette EventaVignette Event, table, 2 levels of column headers and 1 levels of row headers, table with 6 columns and 22 rows
Vignette Event Mean Std. Error df 95% Confidence Interval
Lower Bound Upper Bound
1 3.256 .052 407.285 3.153 3.359
2 2.803 .055 405.960 2.694 2.912
3 2.981 .054 405.090 2.875 3.087
4 2.741 .061 405.449 2.620 2.861
5 2.663 .063 405.484 2.539 2.787
6 1.885 .049 404.583 1.790 1.981
7 2.240 .053 404.521 2.135 2.344
8 1.846 .046 404.342 1.756 1.936
9 1.498 .036 404.299 1.428 1.569
10 1.567 .043 404.431 1.482 1.652
11 1.765 .050 404.694 1.666 1.864
12 1.210 .026 405.112 1.158 1.261
13 1.304 .035 402.653 1.235 1.373
14 1.398 .036 404.661 1.326 1.469
15 1.161 .025 395.193 1.112 1.210
16 1.111 .022 399.932 1.067 1.154
17 1.077 .020 398.324 1.038 1.115
18 1.080 .020 401.364 1.040 1.120
a. Dependent Variable: Comfort Outcome.
Log
Log - Log - May 7, 2016

ECHO "Supplemental Material Equation 2: Univariate RM ANOVA Model on Comfort at 18 events".
Supplemental Material Equation 2: Univariate RM ANOVA Model on Comfort at 18 events
MIXED comfort BY PersonID event sample
 /METHOD   = REML
 /PRINT    = SOLUTION TESTCOV
 /FIXED    = event sample event*sample
 /REPEATED = event | SUBJECT(PersonID) COVTYPE(CS)
 /MISSING  = INCLUDE
 /EMMEANS  = TABLES(event) TABLES(sample) TABLES(event*sample).

Mixed Model Analysis
Mixed Model Analysis - Model Dimension - May 7, 2016
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 9 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Event 18   17    
Sample 2   1    
Event * Sample 36   17    
Repeated Effects Event 18 Compound Symmetry 2 PersonID 407
Total 75   38    
a. Dependent Variable: Comfort Outcome.
Mixed Model Analysis
Mixed Model Analysis - Information Criteria - May 7, 2016
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 14769.788
Akaike's Information Criterion (AIC) 14773.788
Hurvich and Tsai's Criterion (AICC) 14773.789
Bozdogan's Criterion (CAIC) 14789.543
Schwarz's Bayesian Criterion (BIC) 14787.543
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: Comfort Outcome.
Fixed Effects
Fixed Effects - Type III Tests of Fixed Effects - May 7, 2016
Type III Tests of Fixed EffectsaType III Tests of Fixed Effects, table, 1 levels of column headers and 1 levels of row headers, table with 5 columns and 7 rows
Source Numerator df Denominator df F Sig.
Intercept 1 405.183 4187.729 .000
Event 17 6770.729 496.655 .000
Sample 1 405.156 42.851 .000
Event * Sample 17 6770.732 68.088 .000
a. Dependent Variable: Comfort Outcome.
Fixed Effects
Fixed Effects - Estimates of Fixed Effects - May 7, 2016
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 62 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 1.155432 .063411 1759.909 18.221 .000 1.031063 1.279802
[Event=1] 1.657321 .067244 6784.577 24.646 .000 1.525502 1.789139
[Event=2] 1.143088 .067195 6774.261 17.011 .000 1.011365 1.274811
[Event=3] 1.369600 .067262 6769.445 20.362 .000 1.237746 1.501453
[Event=4] .870437 .067480 6770.913 12.899 .000 .738155 1.002718
[Event=5] .779021 .067375 6770.848 11.562 .000 .646945 .911097
[Event=6] .322881 .067375 6770.848 4.792 .000 .190805 .454956
[Event=7] .659196 .067467 6770.315 9.771 .000 .526940 .791452
[Event=8] .377662 .067571 6770.837 5.589 .000 .245201 .510124
[Event=9] .241549 .067466 6770.492 3.580 .000 .109293 .373804
[Event=10] .305337 .067375 6770.848 4.532 .000 .173261 .437413
[Event=11] .375369 .067662 6770.295 5.548 .000 .242730 .508008
[Event=12] .084371 .067465 6770.292 1.251 .211 -.047880 .216623
[Event=13] .330055 .067676 6770.615 4.877 .000 .197389 .462720
[Event=14] .307632 .067676 6770.615 4.546 .000 .174966 .440298
[Event=15] .095179 .067770 6770.549 1.404 .160 -.037672 .228031
[Event=16] .067433 .067557 6770.026 .998 .318 -.065001 .199866
[Event=17] -.000661 .067547 6768.752 -.010 .992 -.133075 .131753
[Event=18] 0b 0 . . . . .
[Sample=.00] -.127032 .083549 1743.217 -1.520 .129 -.290899 .036835
[Sample=1.00] 0b 0 . . . . .
[Event=1] * [Sample=.00] .903740 .088812 6777.945 10.176 .000 .729641 1.077840
[Event=1] * [Sample=1.00] 0b 0 . . . . .
[Event=2] * [Sample=.00] 1.012658 .088643 6772.063 11.424 .000 .838890 1.186426
[Event=2] * [Sample=1.00] 0b 0 . . . . .
[Event=3] * [Sample=.00] .928384 .088651 6768.982 10.472 .000 .754601 1.102168
[Event=3] * [Sample=1.00] 0b 0 . . . . .
[Event=4] * [Sample=.00] 1.386968 .088905 6769.602 15.601 .000 1.212687 1.561249
[Event=4] * [Sample=1.00] 0b 0 . . . . .
[Event=5] * [Sample=.00] 1.405533 .088780 6769.948 15.832 .000 1.231496 1.579570
[Event=5] * [Sample=1.00] 0b 0 . . . . .
[Event=6] * [Sample=.00] .840808 .088737 6769.792 9.475 .000 .666855 1.014760
[Event=6] * [Sample=1.00] 0b 0 . . . . .
[Event=7] * [Sample=.00] .868433 .088846 6769.611 9.775 .000 .694268 1.042599
[Event=7] * [Sample=1.00] 0b 0 . . . . .
[Event=8] * [Sample=.00] .674922 .088887 6769.834 7.593 .000 .500675 .849169
[Event=8] * [Sample=1.00] 0b 0 . . . . .
[Event=9] * [Sample=.00] .307313 .088762 6769.793 3.462 .001 .133311 .481316
[Event=9] * [Sample=1.00] 0b 0 . . . . .
[Event=10] * [Sample=.00] .314348 .088737 6770.144 3.542 .000 .140395 .488300
[Event=10] * [Sample=1.00] 0b 0 . . . . .
[Event=11] * [Sample=.00] .538688 .088956 6769.725 6.056 .000 .364307 .713069
[Event=11] * [Sample=1.00] 0b 0 . . . . .
[Event=12] * [Sample=.00] .076439 .088805 6769.722 .861 .389 -.097648 .250525
[Event=12] * [Sample=1.00] 0b 0 . . . . .
[Event=13] * [Sample=.00] -.186978 .088944 6773.076 -2.102 .036 -.361335 -.012620
[Event=13] * [Sample=1.00] 0b 0 . . . . .
[Event=14] * [Sample=.00] .016816 .089009 6770.022 .189 .850 -.157670 .191302
[Event=14] * [Sample=1.00] 0b 0 . . . . .
[Event=15] * [Sample=.00] -.029607 .089039 6769.670 -.333 .740 -.204151 .144937
[Event=15] * [Sample=1.00] 0b 0 . . . . .
[Event=16] * [Sample=.00] -.061674 .088832 6769.320 -.694 .488 -.235813 .112465
[Event=16] * [Sample=1.00] 0b 0 . . . . .
[Event=17] * [Sample=.00] -.006511 .088824 6768.685 -.073 .942 -.180635 .167612
[Event=17] * [Sample=1.00] 0b 0 . . . . .
[Event=18] * [Sample=.00] 0b 0 . . . . .
[Event=18] * [Sample=1.00] 0b 0 . . . . .
a. Dependent Variable: Comfort Outcome.
b. This parameter is set to zero because it is redundant.
Covariance Parameters
Covariance Parameters - Estimates of Covariance Parameters - May 7, 2016
Estimates of Covariance ParametersaEstimates of Covariance Parameters, table, 2 levels of column headers and 2 levels of row headers, table with 8 columns and 6 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures CS diagonal offset .384185 .006604 58.173 .000 .371457 .397350
CS covariance .299447 .022613 13.242 .000 .255125 .343768
a. Dependent Variable: Comfort Outcome.  
Estimated Marginal Means
Estimated Marginal Means - Vignette Event * Country (0=US, 1=Philippines) - May 7, 2016
Vignette Event * Country (0=US, 1=Philippines)aVignette Event * Country (0=US, 1=Philippines), table, 2 levels of column headers and 2 levels of row headers, table with 7 columns and 40 rows
Vignette Event Country (0=US, 1=Philippines) Mean Std. Error df 95% Confidence Interval
Lower Bound Upper Bound
1 US 3.589 .055 1744.282 3.482 3.697
Philippines 2.813 .063 1709.443 2.690 2.936
2 US 3.184 .054 1721.148 3.077 3.291
Philippines 2.299 .063 1707.876 2.175 2.422
3 US 3.326 .054 1713.864 3.220 3.433
Philippines 2.525 .063 1717.845 2.402 2.649
4 US 3.286 .054 1728.297 3.179 3.393
Philippines 2.026 .063 1738.886 1.902 2.150
5 US 3.213 .054 1721.347 3.106 3.320
Philippines 1.934 .063 1728.479 1.811 2.058
6 US 2.192 .054 1713.739 2.086 2.299
Philippines 1.478 .063 1728.457 1.355 1.602
7 US 2.556 .054 1720.884 2.449 2.663
Philippines 1.815 .063 1738.795 1.691 1.939
8 US 2.081 .054 1713.366 1.974 2.188
Philippines 1.533 .063 1749.382 1.409 1.657
9 US 1.577 .054 1705.849 1.471 1.684
Philippines 1.397 .063 1738.885 1.273 1.521
10 US 1.648 .054 1713.598 1.542 1.755
Philippines 1.461 .063 1728.457 1.337 1.584
11 US 1.942 .054 1713.367 1.836 2.049
Philippines 1.531 .063 1760.186 1.406 1.655
12 US 1.189 .054 1713.381 1.083 1.296
Philippines 1.240 .063 1738.985 1.116 1.364
13 US 1.171 .054 1707.236 1.065 1.278
Philippines 1.485 .063 1760.246 1.361 1.610
14 US 1.353 .054 1721.098 1.246 1.460
Philippines 1.463 .063 1760.148 1.339 1.587
15 US 1.094 .054 1713.300 .987 1.201
Philippines 1.251 .064 1771.042 1.126 1.375
16 US 1.034 .054 1705.979 .928 1.141
Philippines 1.223 .063 1749.622 1.099 1.347
17 US 1.021 .054 1705.692 .915 1.128
Philippines 1.155 .063 1749.111 1.031 1.279
18 US 1.028 .054 1721.003 .922 1.135
Philippines 1.155 .063 1759.909 1.031 1.280
a. Dependent Variable: Comfort Outcome.  
Log
Log - Log - May 7, 2016


ECHO "Supplemental Material Equation 3: Empty Means, Random Intercept Model".
Supplemental Material Equation 3: Empty Means, Random Intercept Model
MIXED comfort BY PersonID event
 /METHOD   = ML
 /PRINT    = SOLUTION TESTCOV
 /RANDOM   = INTERCEPT | SUBJECT (PersonID) COVTYPE(UN)
 /REPEATED = event | SUBJECT(PersonID) COVTYPE(ID)
 /MISSING  = INCLUDE.

Mixed Model Analysis
Mixed Model Analysis - Warnings - May 7, 2016
WarningsWarnings, table, 0 levels of column headers and 0 levels of row headers, table with 1 columns and 2 rows
The covariance structure for random effect with only one level will be changed to Identity.
Mixed Model Analysis
Mixed Model Analysis - Model Dimension - May 7, 2016
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 7 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Random Effects Intercept 1 Identity 1 PersonID  
Repeated Effects Event 18 Identity 1 PersonID 407
Total 20   3    
a. Dependent Variable: Comfort Outcome.
Mixed Model Analysis
Mixed Model Analysis - Information Criteria - May 7, 2016
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Log Likelihood 21096.591
Akaike's Information Criterion (AIC) 21102.591
Hurvich and Tsai's Criterion (AICC) 21102.595
Bozdogan's Criterion (CAIC) 21126.240
Schwarz's Bayesian Criterion (BIC) 21123.240
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: Comfort Outcome.
Fixed Effects
Fixed Effects - Type III Tests of Fixed Effects - May 7, 2016
Type III Tests of Fixed EffectsaType III Tests of Fixed Effects, table, 1 levels of column headers and 1 levels of row headers, table with 5 columns and 4 rows
Source Numerator df Denominator df F Sig.
Intercept 1 406.351 3975.715 .000
a. Dependent Variable: Comfort Outcome.
Fixed Effects
Fixed Effects - Estimates of Fixed Effects - May 7, 2016
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 5 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 1.870240 .029661 406.351 63.053 .000 1.811931 1.928548
a. Dependent Variable: Comfort Outcome.
Covariance Parameters
Covariance Parameters - Estimates of Covariance Parameters - May 7, 2016
Estimates of Covariance ParametersaEstimates of Covariance Parameters, table, 2 levels of column headers and 2 levels of row headers, table with 8 columns and 6 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Variance .984559 .016881 58.324 .000 .952023 1.018207
Intercept [subject = PersonID] Variance .300830 .025049 12.010 .000 .255533 .354158
a. Dependent Variable: Comfort Outcome.  
Log
Log - Log - May 7, 2016


ECHO "Supplemental Material Equation 4: Random Intercept, Fixed Piecewise Slopes Model".
Supplemental Material Equation 4: Random Intercept, Fixed Piecewise Slopes Model
MIXED comfort BY PersonID
              WITH phase1 phase2 phase3 phase4 phase5 phase6 phase7 phase8
 /METHOD   = ML
 /PRINT    = SOLUTION TESTCOV
 /FIXED    = phase1 phase2 phase3 phase4 phase5 phase6 phase7 phase8 phase8*phase8
 /RANDOM   = INTERCEPT | SUBJECT(PersonID) COVTYPE(UN)
 /REPEATED = event | SUBJECT(PersonID) COVTYPE(ID)
 /MISSING  = INCLUDE.

Mixed Model Analysis
Mixed Model Analysis - Warnings - May 7, 2016
WarningsWarnings, table, 0 levels of column headers and 0 levels of row headers, table with 1 columns and 2 rows
The covariance structure for random effect with only one level will be changed to Identity.
Mixed Model Analysis
Mixed Model Analysis - Model Dimension - May 7, 2016
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 16 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
phase1 1   1    
phase2 1   1    
phase3 1   1    
phase4 1   1    
phase5 1   1    
phase6 1   1    
phase7 1   1    
phase8 1   1    
phase8 * phase8 1   1    
Random Effects Intercept 1 Identity 1 PersonID  
Repeated Effects Event 18 Identity 1 PersonID 407
Total 29   12    
a. Dependent Variable: Comfort Outcome.
Mixed Model Analysis
Mixed Model Analysis - Information Criteria - May 7, 2016
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Log Likelihood 15797.482
Akaike's Information Criterion (AIC) 15821.482
Hurvich and Tsai's Criterion (AICC) 15821.525
Bozdogan's Criterion (CAIC) 15916.077
Schwarz's Bayesian Criterion (BIC) 15904.077
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: Comfort Outcome.
Fixed Effects
Fixed Effects - Type III Tests of Fixed Effects - May 7, 2016
Type III Tests of Fixed EffectsaType III Tests of Fixed Effects, table, 1 levels of column headers and 1 levels of row headers, table with 5 columns and 13 rows
Source Numerator df Denominator df F Sig.
Intercept 1 1144.616 6629.644 .000
phase1 1 6810.798 133.954 .000
phase2 1 6802.002 318.828 .000
phase3 1 6802.171 59.046 .000
phase4 1 6801.819 281.512 .000
phase5 1 6802.002 35.498 .000
phase6 1 6802.333 152.081 .000
phase7 1 6801.854 13.395 .000
phase8 1 6802.676 36.164 .000
phase8 * phase8 1 6802.422 16.865 .000
a. Dependent Variable: Comfort Outcome.
Fixed Effects
Fixed Effects - Estimates of Fixed Effects - May 7, 2016
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 14 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 3.137196 .038530 1144.616 81.423 .000 3.061599 3.212793
phase1 -.123057 .010632 6810.798 -11.574 .000 -.143900 -.102215
phase2 -.757914 .042446 6802.002 -17.856 .000 -.841123 -.674706
phase3 .348878 .045402 6802.171 7.684 .000 .259875 .437880
phase4 -.380939 .022704 6801.819 -16.778 .000 -.425446 -.336431
phase5 .135385 .022723 6802.002 5.958 .000 .090840 .179929
phase6 -.533856 .043290 6802.333 -12.332 .000 -.618717 -.448994
phase7 .084477 .023082 6801.854 3.660 .000 .039229 .129725
phase8 -.216237 .035958 6802.676 -6.014 .000 -.286725 -.145749
phase8 * phase8 .036034 .008774 6802.422 4.107 .000 .018833 .053234
a. Dependent Variable: Comfort Outcome.
Covariance Parameters
Covariance Parameters - Estimates of Covariance Parameters - May 7, 2016
Estimates of Covariance ParametersaEstimates of Covariance Parameters, table, 2 levels of column headers and 2 levels of row headers, table with 8 columns and 6 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Variance .451996 .007751 58.316 .000 .437057 .467445
Intercept [subject = PersonID] Variance .328198 .024871 13.196 .000 .282900 .380749
a. Dependent Variable: Comfort Outcome.  
Log
Log - Log - May 7, 2016


ECHO "Supplemental Material Equation 5: Random Piecewise Slopes Model".
Supplemental Material Equation 5: Random Piecewise Slopes Model
MIXED comfort BY PersonID
              WITH phase1 phase2 phase3 phase4 phase5 phase6 phase7 phase8
 /METHOD   = ML
 /PRINT    = SOLUTION TESTCOV G
 /FIXED    = phase1 phase2 phase3 phase4 phase5 phase6 phase7 phase8 phase8*phase8
 /RANDOM   = INTERCEPT phase1 phase2 phase3 phase4 phase5 phase6 phase8
                   | SUBJECT(PersonID) COVTYPE(UN)
 /REPEATED = event | SUBJECT(PersonID) COVTYPE(ID)
 /MISSING = INCLUDE.

Mixed Model Analysis
Mixed Model Analysis - Model Dimension - May 7, 2016
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 17 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
phase1 1   1    
phase2 1   1    
phase3 1   1    
phase4 1   1    
phase5 1   1    
phase6 1   1    
phase7 1   1    
phase8 1   1    
phase8 * phase8 1   1    
Random Effects Intercept + phase1 + phase2 + phase3 + phase4 + phase5 + phase6 + phase8b 8 Unstructured 36 PersonID  
Repeated Effects Event 18 Identity 1 PersonID 407
Total 36   47    
a. Dependent Variable: Comfort Outcome.
b. As of version 11.5, the syntax rules for the RANDOM subcommand have changed. Your command syntax may yield results that differ from those produced by prior versions. If you are using version 11 syntax, please consult the current syntax reference guide for more information.
Mixed Model Analysis
Mixed Model Analysis - Information Criteria - May 7, 2016
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Log Likelihood 11680.773
Akaike's Information Criterion (AIC) 11774.773
Hurvich and Tsai's Criterion (AICC) 11775.403
Bozdogan's Criterion (CAIC) 12145.271
Schwarz's Bayesian Criterion (BIC) 12098.271
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: Comfort Outcome.
Fixed Effects
Fixed Effects - Type III Tests of Fixed Effects - May 7, 2016
Type III Tests of Fixed EffectsaType III Tests of Fixed Effects, table, 1 levels of column headers and 1 levels of row headers, table with 5 columns and 13 rows
Source Numerator df Denominator df F Sig.
Intercept 1 406.726 3914.035 .000
phase1 1 398.301 97.256 .000
phase2 1 403.402 334.262 .000
phase3 1 400.124 90.616 .000
phase4 1 403.941 321.075 .000
phase5 1 402.420 52.424 .000
phase6 1 514.607 139.780 .000
phase7 1 3987.516 37.474 .000
phase8 1 4396.073 96.564 .000
phase8 * phase8 1 4001.872 47.126 .000
a. Dependent Variable: Comfort Outcome.
Fixed Effects
Fixed Effects - Estimates of Fixed Effects - May 7, 2016
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 14 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 3.136726 .050138 406.726 62.562 .000 3.038165 3.235288
phase1 -.124695 .012644 398.301 -9.862 .000 -.149552 -.099837
phase2 -.753789 .041229 403.402 -18.283 .000 -.834840 -.672738
phase3 .349501 .036715 400.124 9.519 .000 .277322 .421680
phase4 -.380149 .021215 403.941 -17.919 .000 -.421855 -.338443
phase5 .134814 .018620 402.420 7.240 .000 .098210 .171419
phase6 -.530504 .044871 514.607 -11.823 .000 -.618657 -.442351
phase7 .085870 .014027 3987.516 6.122 .000 .058368 .113372
phase8 -.219054 .022292 4396.073 -9.827 .000 -.262757 -.175351
phase8 * phase8 .036605 .005332 4001.872 6.865 .000 .026151 .047059
a. Dependent Variable: Comfort Outcome.
Covariance Parameters
Covariance Parameters - Estimates of Covariance Parameters - May 7, 2016
Estimates of Covariance ParametersaEstimates of Covariance Parameters, table, 2 levels of column headers and 2 levels of row headers, table with 8 columns and 41 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Variance .166823 .003739 44.615 .000 .159653 .174315
Intercept + phase1 + phase2 + phase3 + phase4 + phase5 + phase6 + phase8 [subject = PersonID] UN (1,1) .916854 .071520 12.819 .000 .786867 1.068315
UN (2,1) -.021402 .013082 -1.636 .102 -.047043 .004239
UN (2,2) .047441 .004583 10.352 .000 .039258 .057330
UN (3,1) -.332481 .044211 -7.520 .000 -.419132 -.245829
UN (3,2) -.058142 .011495 -5.058 .000 -.080671 -.035613
UN (3,3) .417118 .048679 8.569 .000 .331835 .524320
UN (4,1) .096625 .037446 2.580 .010 .023233 .170017
UN (4,2) .002183 .009480 .230 .818 -.016398 .020763
UN (4,3) -.120905 .033951 -3.561 .000 -.187448 -.054361
UN (4,4) .235167 .038898 6.046 .000 .170052 .325216
UN (5,1) -.173753 .023110 -7.518 .000 -.219048 -.128458
UN (5,2) -.028202 .005651 -4.991 .000 -.039277 -.017127
UN (5,3) .132221 .018847 7.015 .000 .095282 .169161
UN (5,4) -.094724 .018032 -5.253 .000 -.130066 -.059381
UN (5,5) .104706 .012887 8.125 .000 .082263 .133272
UN (6,1) .072340 .019090 3.789 .000 .034925 .109756
UN (6,2) .011270 .004780 2.358 .018 .001902 .020638
UN (6,3) -.039996 .015518 -2.577 .010 -.070411 -.009581
UN (6,4) .028730 .013854 2.074 .038 .001576 .055884
UN (6,5) -.026112 .008693 -3.004 .003 -.043150 -.009074
UN (6,6) .062503 .009953 6.280 .000 .045746 .085398
UN (7,1) -.321848 .045450 -7.081 .000 -.410928 -.232768
UN (7,2) -.049437 .011034 -4.480 .000 -.071064 -.027810
UN (7,3) .102668 .035291 2.909 .004 .033500 .171837
UN (7,4) -.057033 .031222 -1.827 .068 -.118228 .004161
UN (7,5) .099203 .018839 5.266 .000 .062278 .136127
UN (7,6) -.154324 .019731 -7.821 .000 -.192996 -.115653
UN (7,7) .531772 .050712 10.486 .000 .441114 .641061
UN (8,1) -.014084 .006874 -2.049 .040 -.027558 -.000611
UN (8,2) -.007907 .001779 -4.445 .000 -.011394 -.004421
UN (8,3) .003847 .005616 .685 .493 -.007160 .014853
UN (8,4) -.012563 .005058 -2.484 .013 -.022477 -.002649
UN (8,5) .006036 .002903 2.079 .038 .000345 .011726
UN (8,6) -.009519 .002571 -3.703 .000 -.014558 -.004481
UN (8,7) .020874 .005749 3.631 .000 .009606 .032141
UN (8,8) .007748 .001332 5.815 .000 .005531 .010854
a. Dependent Variable: Comfort Outcome.  
Mixed Model Analysis
Mixed Model Analysis - Random Effect Covariance Structure (G) - May 7, 2016
Random Effect Covariance Structure (G)aRandom Effect Covariance Structure (G), table, 1 levels of column headers and 1 levels of row headers, table with 9 columns and 12 rows
  Intercept | PersonID phase1 | PersonID phase2 | PersonID phase3 | PersonID phase4 | PersonID phase5 | PersonID phase6 | PersonID phase8 | PersonID
Intercept | PersonID .916854 -.021402 -.332481 .096625 -.173753 .072340 -.321848 -.014084
phase1 | PersonID -.021402 .047441 -.058142 .002183 -.028202 .011270 -.049437 -.007907
phase2 | PersonID -.332481 -.058142 .417118 -.120905 .132221 -.039996 .102668 .003847
phase3 | PersonID .096625 .002183 -.120905 .235167 -.094724 .028730 -.057033 -.012563
phase4 | PersonID -.173753 -.028202 .132221 -.094724 .104706 -.026112 .099203 .006036
phase5 | PersonID .072340 .011270 -.039996 .028730 -.026112 .062503 -.154324 -.009519
phase6 | PersonID -.321848 -.049437 .102668 -.057033 .099203 -.154324 .531772 .020874
phase8 | PersonID -.014084 -.007907 .003847 -.012563 .006036 -.009519 .020874 .007748
Unstructured
a. Dependent Variable: Comfort Outcome.
Log
Log - Log - May 7, 2016


* Note:  This is for improving model fit, and refers to Supplemental Material Equation 6.
* Variables needed for revised random slope model.

DATASET ACTIVATE example_stacked.
* To allow mean increment at event2.
COMPUTE Event02=0.
IF (Event=2) Event02=1.
* To allow different residual variances.
COMPUTE resAup=0.
IF ((Event EQ 9) OR (Event EQ 12) OR (Event EQ 15) OR (Event EQ 16)
OR (Event EQ 17) OR (Event EQ 18)) resAup=1.
* Residual variance differs to allow random intercept.
IF ((Event EQ 10) OR (Event EQ 11) OR (Event EQ 13) OR (Event EQ 14)) resAup=2.
* To allow extra residual covariance for 13-14.
COMPUTE rand1314=0.
IF ((Event EQ 13) OR (Event EQ 14)) rand1314=1.
* To allow extra residual covariance for 10-11.
COMPUTE rand1011=0.
IF ((Event EQ 10) OR (Event EQ 11)) rand1011=1.
EXECUTE.

ECHO "Supplemental Material Equation 6: Revised Random Piecewise Slopes Model".
Supplemental Material Equation 6: Revised Random Piecewise Slopes Model
ECHO "Residual covariances via random intercepts do not match Mplus, but are close".
Residual covariances via random intercepts do not match Mplus, but are close
MIXED comfort BY   PersonID resAup
              WITH phase1 phase2 phase3 phase4 phase5 phase6 phase7 phase8 event02
                   rand1314 rand1011
 /METHOD   = ML
 /PRINT    = SOLUTION TESTCOV G
 /FIXED    = phase1 phase2 phase3 phase4 phase5 phase6 phase7 phase8 phase8*phase8 event02
 /RANDOM   = INTERCEPT phase1 phase2 phase3 phase4 phase5 phase6 phase8
                    | SUBJECT(PersonID) COVTYPE(UN)
 /RANDOM   = rand1314 rand1011 | SUBJECT(PersonID) COVTYPE(VC)
 /REPEATED = resAup | SUBJECT(PersonID*event) COVTYPE(DIAG)
 /MISSING  = INCLUDE
 /TEST     = "Slope difference between phase 1 and phase 2" phase1 -1 phase2 1.

Mixed Model Analysis
Mixed Model Analysis - Model Dimension - May 7, 2016
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 19 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
phase1 1   1    
phase2 1   1    
phase3 1   1    
phase4 1   1    
phase5 1   1    
phase6 1   1    
phase7 1   1    
phase8 1   1    
phase8 * phase8 1   1    
Event02 1   1    
Random Effects Intercept + phase1 + phase2 + phase3 + phase4 + phase5 + phase6 + phase8b 8 Unstructured 36 PersonID  
rand1314 + rand1011b 2 Variance Components 2 PersonID  
Repeated Effects resAup 3 Diagonal 3 PersonID * Event 7208
Total 24   52    
a. Dependent Variable: Comfort Outcome.
b. As of version 11.5, the syntax rules for the RANDOM subcommand have changed. Your command syntax may yield results that differ from those produced by prior versions. If you are using version 11 syntax, please consult the current syntax reference guide for more information.
Mixed Model Analysis
Mixed Model Analysis - Information Criteria - May 7, 2016
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Log Likelihood 10861.675
Akaike's Information Criterion (AIC) 10965.675
Hurvich and Tsai's Criterion (AICC) 10966.446
Bozdogan's Criterion (CAIC) 11375.589
Schwarz's Bayesian Criterion (BIC) 11323.589
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: Comfort Outcome.
Fixed Effects
Fixed Effects - Type III Tests of Fixed Effects - May 7, 2016
Type III Tests of Fixed EffectsaType III Tests of Fixed Effects, table, 1 levels of column headers and 1 levels of row headers, table with 5 columns and 14 rows
Source Numerator df Denominator df F Sig.
Intercept 1 450.817 4006.524 .000
phase1 1 442.453 142.583 .000
phase2 1 403.971 334.676 .000
phase3 1 400.797 89.507 .000
phase4 1 404.137 315.795 .000
phase5 1 399.587 52.317 .000
phase6 1 437.770 165.562 .000
phase7 1 1863.822 30.373 .000
phase8 1 1577.802 76.577 .000
phase8 * phase8 1 1698.127 47.065 .000
Event02 1 1580.300 109.198 .000
a. Dependent Variable: Comfort Outcome.
Fixed Effects
Fixed Effects - Estimates of Fixed Effects - May 7, 2016
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 15 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 3.257659 .051466 450.817 63.297 .000 3.156516 3.358802
phase1 -.154597 .012947 442.453 -11.941 .000 -.180043 -.129152
phase2 -.754023 .041217 403.971 -18.294 .000 -.835048 -.672997
phase3 .346440 .036618 400.797 9.461 .000 .274451 .418428
phase4 -.371942 .020930 404.137 -17.771 .000 -.413087 -.330796
phase5 .132806 .018361 399.587 7.233 .000 .096710 .168902
phase6 -.542578 .042168 437.770 -12.867 .000 -.625454 -.459701
phase7 .067149 .012184 1863.822 5.511 .000 .043253 .091045
phase8 -.183874 .021012 1577.802 -8.751 .000 -.225089 -.142659
phase8 * phase8 .030021 .004376 1698.127 6.860 .000 .021438 .038605
Event02 -.300175 .028725 1580.300 -10.450 .000 -.356519 -.243831
a. Dependent Variable: Comfort Outcome.
Covariance Parameters
Covariance Parameters - Estimates of Covariance Parameters - May 7, 2016
Estimates of Covariance ParametersaEstimates of Covariance Parameters, table, 2 levels of column headers and 2 levels of row headers, table with 8 columns and 45 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Var: [resAup=.00] .231737 .008257 28.065 .000 .216106 .248500
Var: [resAup=1.00] .065309 .002546 25.648 .000 .060504 .070496
Var: [resAup=2.00] .153654 .008040 19.110 .000 .138677 .170249
Intercept + phase1 + phase2 + phase3 + phase4 + phase5 + phase6 + phase8 [subject = PersonID] UN (1,1) .877922 .071671 12.249 .000 .748111 1.030257
UN (2,1) -.008319 .013146 -.633 .527 -.034084 .017447
UN (2,2) .040637 .004615 8.805 .000 .032527 .050768
UN (3,1) -.345522 .044238 -7.810 .000 -.432227 -.258817
UN (3,2) -.044704 .011537 -3.875 .000 -.067316 -.022092
UN (3,3) .312589 .050017 6.250 .000 .228441 .427733
UN (4,1) .096851 .037372 2.592 .010 .023603 .170098
UN (4,2) .001884 .009426 .200 .842 -.016591 .020358
UN (4,3) -.053541 .034609 -1.547 .122 -.121374 .014292
UN (4,4) .117814 .040866 2.883 .004 .059695 .232517
UN (5,1) -.174790 .022866 -7.644 .000 -.219607 -.129974
UN (5,2) -.027313 .005541 -4.929 .000 -.038174 -.016452
UN (5,3) .125754 .018485 6.803 .000 .089524 .161984
UN (5,4) -.071843 .017912 -4.011 .000 -.106950 -.036737
UN (5,5) .109074 .012562 8.683 .000 .087034 .136696
UN (6,1) .072833 .018850 3.864 .000 .035888 .109778
UN (6,2) .011775 .004719 2.495 .013 .002526 .021025
UN (6,3) -.035909 .015281 -2.350 .019 -.065860 -.005959
UN (6,4) .034145 .013621 2.507 .012 .007448 .060842
UN (6,5) -.048596 .008483 -5.729 .000 -.065222 -.031970
UN (6,6) .062660 .012658 4.950 .000 .042173 .093099
UN (7,1) -.299212 .044242 -6.763 .000 -.385925 -.212499
UN (7,2) -.056295 .010897 -5.166 .000 -.077652 -.034937
UN (7,3) .110697 .034630 3.197 .001 .042823 .178571
UN (7,4) -.085294 .030629 -2.785 .005 -.145326 -.025262
UN (7,5) .125877 .018578 6.776 .000 .089464 .162289
UN (7,6) -.128070 .025619 -4.999 .000 -.178283 -.077857
UN (7,7) .432442 .058917 7.340 .000 .331099 .564804
UN (8,1) -.021061 .006107 -3.448 .001 -.033031 -.009090
UN (8,2) -.006301 .001549 -4.068 .000 -.009337 -.003265
UN (8,3) .001904 .004930 .386 .699 -.007758 .011566
UN (8,4) -.005136 .004401 -1.167 .243 -.013763 .003491
UN (8,5) .002625 .002504 1.048 .295 -.002283 .007533
UN (8,6) -.007185 .002223 -3.232 .001 -.011543 -.002827
UN (8,7) .026703 .005012 5.328 .000 .016880 .036526
UN (8,8) .008433 .001034 8.155 .000 .006631 .010724
rand1314 [subject = PersonID] Variance .108886 .015507 7.022 .000 .082366 .143944
rand1011 [subject = PersonID] Variance .074138 .028898 2.566 .010 .034534 .159157
a. Dependent Variable: Comfort Outcome.  
Random Effects Covariance Structures (G)
Random Effects Covariance Structures (G) - Intercept + phase1 + phase2 + phase3 + phase4 + phase5 + (more)phase6 + phase8 [subject = PersonID] - May 7, 2016(less)
Intercept + phase1 + phase2 + phase3 + phase4 + phase5 + phase6 + phase8 [subject = PersonID]aIntercept + phase1 + phase2 + phase3 + phase4 + phase5 + phase6 + phase8 [subject = PersonID], table, 1 levels of column headers and 1 levels of row headers, table with 9 columns and 12 rows
  Intercept | PersonID phase1 | PersonID phase2 | PersonID phase3 | PersonID phase4 | PersonID phase5 | PersonID phase6 | PersonID phase8 | PersonID
Intercept | PersonID .877922 -.008319 -.345522 .096851 -.174790 .072833 -.299212 -.021061
phase1 | PersonID -.008319 .040637 -.044704 .001884 -.027313 .011775 -.056295 -.006301
phase2 | PersonID -.345522 -.044704 .312589 -.053541 .125754 -.035909 .110697 .001904
phase3 | PersonID .096851 .001884 -.053541 .117814 -.071843 .034145 -.085294 -.005136
phase4 | PersonID -.174790 -.027313 .125754 -.071843 .109074 -.048596 .125877 .002625
phase5 | PersonID .072833 .011775 -.035909 .034145 -.048596 .062660 -.128070 -.007185
phase6 | PersonID -.299212 -.056295 .110697 -.085294 .125877 -.128070 .432442 .026703
phase8 | PersonID -.021061 -.006301 .001904 -.005136 .002625 -.007185 .026703 .008433
Unstructured
a. Dependent Variable: Comfort Outcome.
Random Effects Covariance Structures (G)
Random Effects Covariance Structures (G) - rand1314 [subject = PersonID] - May 7, 2016
rand1314 [subject = PersonID]arand1314 [subject = PersonID], table, 1 levels of column headers and 1 levels of row headers, table with 2 columns and 5 rows
  rand1314 | PersonID
rand1314 | PersonID .108886
Variance Components
a. Dependent Variable: Comfort Outcome.
Random Effects Covariance Structures (G)
Random Effects Covariance Structures (G) - rand1011 [subject = PersonID] - May 7, 2016
rand1011 [subject = PersonID]arand1011 [subject = PersonID], table, 1 levels of column headers and 1 levels of row headers, table with 2 columns and 5 rows
  rand1011 | PersonID
rand1011 | PersonID .074138
Variance Components
a. Dependent Variable: Comfort Outcome.
Custom Hypothesis Test  (Slope difference between phase 1 and phase 2)
Custom Hypothesis Test (Slope difference between phase 1 and phase 2) - Contrast Estimates - May 7,(more) 2016(less)
Contrast Estimatesa,bContrast Estimates, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 6 rows
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -.599425 .048179 406.015 0 -12.442 .000 -.694137 -.504713
a. Slope difference between phase 1 and phase 2
b. Dependent Variable: Comfort Outcome.
Log
Log - Log - May 7, 2016


ECHO "Supplemental Material Equation 7 Sample Predicting Random Piecewise Slopes".
Supplemental Material Equation 7 Sample Predicting Random Piecewise Slopes
ECHO "Residual covariances via random intercepts do not match Mplus, but are close".
Residual covariances via random intercepts do not match Mplus, but are close
ECHO "U.S. sample (reference group=0), Philippines sample (comparison group=1)".
U.S. sample (reference group=0), Philippines sample (comparison group=1)
ECHO "Stopping point is not included".
Stopping point is not included
MIXED comfort BY   PersonID resAup
              WITH phase1 phase2 phase3 phase4 phase5 phase6 phase7 phase8 event02 sample
                   rand1314 rand1011
 /METHOD   = ML
 /PRINT    = SOLUTION TESTCOV G
 /FIXED    = phase1 phase2 phase3 phase4 phase5 phase6 phase7 phase8 phase8*phase8 event02
             sample sample*phase1 sample*phase2 sample*phase3 sample*phase4 sample*phase5
             sample*phase6 sample*phase8
 /RANDOM   = INTERCEPT phase1 phase2 phase3 phase4 phase5 phase6 phase8
                    | SUBJECT(PersonID) COVTYPE(UN)
 /RANDOM   = rand1314 rand1011 | SUBJECT(PersonID) COVTYPE(VC)
 /REPEATED = resAup | SUBJECT(PersonID*event) COVTYPE(DIAG)
 /MISSING  = INCLUDE
 /TEST     = "PH Intercept"     intercept 1 sample 1
 /TEST     = "PH phase 1 slope" phase1 1 sample*phase1 1
 /TEST     = "PH phase 2 slope" phase2 1 sample*phase2 1
 /TEST     = "PH phase 3 slope" phase3 1 sample*phase3 1
 /TEST     = "PH phase 4 slope" phase4 1 sample*phase4 1
 /TEST     = "PH phase 5 slope" phase5 1 sample*phase5 1
 /TEST     = "PH phase 6 slope" phase6 1 sample*phase6 1
 /TEST     = "PH phase 8 slope" phase8 1 sample*phase8 1.

Mixed Model Analysis
Mixed Model Analysis - Model Dimension - May 7, 2016
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 27 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
phase1 1   1    
phase2 1   1    
phase3 1   1    
phase4 1   1    
phase5 1   1    
phase6 1   1    
phase7 1   1    
phase8 1   1    
phase8 * phase8 1   1    
Event02 1   1    
Sample 1   1    
phase1 * Sample 1   1    
phase2 * Sample 1   1    
phase3 * Sample 1   1    
phase4 * Sample 1   1    
phase5 * Sample 1   1    
phase6 * Sample 1   1    
phase8 * Sample 1   1    
Random Effects Intercept + phase1 + phase2 + phase3 + phase4 + phase5 + phase6 + phase8b 8 Unstructured 36 PersonID  
rand1314 + rand1011b 2 Variance Components 2 PersonID  
Repeated Effects resAup 3 Diagonal 3 PersonID * Event 7208
Total 32   60    
a. Dependent Variable: Comfort Outcome.
b. As of version 11.5, the syntax rules for the RANDOM subcommand have changed. Your command syntax may yield results that differ from those produced by prior versions. If you are using version 11 syntax, please consult the current syntax reference guide for more information.
Mixed Model Analysis
Mixed Model Analysis - Information Criteria - May 7, 2016
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Log Likelihood 10693.159
Akaike's Information Criterion (AIC) 10813.159
Hurvich and Tsai's Criterion (AICC) 10814.184
Bozdogan's Criterion (CAIC) 11286.136
Schwarz's Bayesian Criterion (BIC) 11226.136
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: Comfort Outcome.
Fixed Effects
Fixed Effects - Type III Tests of Fixed Effects - May 7, 2016
Type III Tests of Fixed EffectsaType III Tests of Fixed Effects, table, 1 levels of column headers and 1 levels of row headers, table with 5 columns and 22 rows
Source Numerator df Denominator df F Sig.
Intercept 1 435.360 3182.589 .000
phase1 1 427.323 34.039 .000
phase2 1 403.630 375.235 .000
phase3 1 401.738 60.642 .000
phase4 1 402.787 378.707 .000
phase5 1 396.174 57.099 .000
phase6 1 423.782 212.304 .000
phase7 1 1864.301 30.651 .000
phase8 1 1688.817 74.955 .000
phase8 * phase8 1 1698.337 47.280 .000
Event02 1 1581.439 109.238 .000
Sample 1 405.599 57.834 .000
phase1 * Sample 1 400.127 31.881 .000
phase2 * Sample 1 403.503 50.790 .000
phase3 * Sample 1 401.228 .856 .355
phase4 * Sample 1 403.425 59.122 .000
phase5 * Sample 1 398.042 9.201 .003
phase6 * Sample 1 404.690 42.670 .000
phase8 * Sample 1 397.979 .266 .606
a. Dependent Variable: Comfort Outcome.
Fixed Effects
Fixed Effects - Estimates of Fixed Effects - May 7, 2016
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 23 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 3.566681 .063223 435.360 56.414 .000 3.442421 3.690941
phase1 -.095352 .016343 427.323 -5.834 .000 -.127475 -.063229
phase2 -.993769 .051302 403.630 -19.371 .000 -1.094621 -.892916
phase3 .375564 .048228 401.738 7.787 .000 .280754 .470375
phase4 -.501840 .025788 402.787 -19.460 .000 -.552535 -.451144
phase5 .180522 .023890 396.174 7.556 .000 .133554 .227489
phase6 -.764444 .052465 423.782 -14.571 .000 -.867567 -.661320
phase7 .067385 .012172 1864.301 5.536 .000 .043514 .091257
phase8 -.186871 .021584 1688.817 -8.658 .000 -.229206 -.144536
phase8 * phase8 .030063 .004372 1698.337 6.876 .000 .021488 .038638
Event02 -.300107 .028714 1581.439 -10.452 .000 -.356428 -.243786
Sample -.720918 .094797 405.599 -7.605 .000 -.907273 -.534563
phase1 * Sample -.138817 .024585 400.127 -5.646 .000 -.187149 -.090484
phase2 * Sample .560004 .078578 403.503 7.127 .000 .405531 .714477
phase3 * Sample -.068424 .073966 401.228 -.925 .355 -.213833 .076985
phase4 * Sample .304195 .039562 403.425 7.689 .000 .226422 .381968
phase5 * Sample -.111482 .036752 398.042 -3.033 .003 -.183734 -.039229
phase6 * Sample .519779 .079571 404.690 6.532 .000 .363354 .676204
phase8 * Sample .006215 .012041 397.979 .516 .606 -.017458 .029887
a. Dependent Variable: Comfort Outcome.
Covariance Parameters
Covariance Parameters - Estimates of Covariance Parameters - May 7, 2016
Estimates of Covariance ParametersaEstimates of Covariance Parameters, table, 2 levels of column headers and 2 levels of row headers, table with 8 columns and 45 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Var: [resAup=.00] .231559 .008248 28.075 .000 .215946 .248302
Var: [resAup=1.00] .065460 .002555 25.620 .000 .060639 .070665
Var: [resAup=2.00] .153578 .008038 19.106 .000 .138605 .170169
Intercept + phase1 + phase2 + phase3 + phase4 + phase5 + phase6 + phase8 [subject = PersonID] UN (1,1) .751119 .062862 11.949 .000 .637486 .885008
UN (2,1) -.033058 .012296 -2.688 .007 -.057158 -.008958
UN (2,2) .036112 .004294 8.410 .000 .028605 .045590
UN (3,1) -.246713 .038149 -6.467 .000 -.321484 -.171943
UN (3,2) -.025874 .010300 -2.512 .012 -.046063 -.005686
UN (3,3) .236425 .044831 5.274 .000 .163038 .342847
UN (4,1) .085206 .035016 2.433 .015 .016575 .153836
UN (4,2) -.000495 .009061 -.055 .956 -.018254 .017263
UN (4,3) -.044210 .032807 -1.348 .178 -.108511 .020092
UN (4,4) .116595 .040734 2.862 .004 .058790 .231239
UN (5,1) -.121133 .019512 -6.208 .000 -.159375 -.082890
UN (5,2) -.017127 .004919 -3.482 .000 -.026769 -.007486
UN (5,3) .084283 .015866 5.312 .000 .053186 .115380
UN (5,4) -.066711 .016894 -3.949 .000 -.099822 -.033600
UN (5,5) .086531 .011003 7.864 .000 .067443 .111020
UN (6,1) .053172 .017358 3.063 .002 .019150 .087193
UN (6,2) .008023 .004464 1.797 .072 -.000726 .016772
UN (6,3) -.020694 .014151 -1.462 .144 -.048430 .007043
UN (6,4) .032308 .013442 2.404 .016 .005962 .058655
UN (6,5) -.040326 .007766 -5.192 .000 -.055548 -.025104
UN (6,6) .059321 .012630 4.697 .000 .039082 .090039
UN (7,1) -.207524 .038582 -5.379 .000 -.283143 -.131906
UN (7,2) -.038804 .009825 -3.949 .000 -.058061 -.019546
UN (7,3) .039626 .030690 1.291 .197 -.020525 .099777
UN (7,4) -.076655 .029065 -2.637 .008 -.133620 -.019689
UN (7,5) .087388 .016100 5.428 .000 .055832 .118944
UN (7,6) -.113396 .025212 -4.498 .000 -.162810 -.063981
UN (7,7) .365787 .056375 6.488 .000 .270421 .494784
UN (8,1) -.019914 .005724 -3.479 .001 -.031134 -.008695
UN (8,2) -.006060 .001491 -4.064 .000 -.008982 -.003137
UN (8,3) .001042 .004640 .225 .822 -.008052 .010137
UN (8,4) -.005127 .004391 -1.168 .243 -.013733 .003478
UN (8,5) .002191 .002339 .936 .349 -.002394 .006775
UN (8,6) -.007037 .002195 -3.205 .001 -.011340 -.002734
UN (8,7) .025901 .004765 5.435 .000 .016561 .035240
UN (8,8) .008400 .001031 8.145 .000 .006603 .010685
rand1314 [subject = PersonID] Variance .106996 .015345 6.973 .000 .080779 .141723
rand1011 [subject = PersonID] Variance .075150 .029041 2.588 .010 .035236 .160274
a. Dependent Variable: Comfort Outcome.  
Random Effects Covariance Structures (G)
Random Effects Covariance Structures (G) - Intercept + phase1 + phase2 + phase3 + phase4 + phase5 + (more)phase6 + phase8 [subject = PersonID] - May 7, 2016(less)
Intercept + phase1 + phase2 + phase3 + phase4 + phase5 + phase6 + phase8 [subject = PersonID]aIntercept + phase1 + phase2 + phase3 + phase4 + phase5 + phase6 + phase8 [subject = PersonID], table, 1 levels of column headers and 1 levels of row headers, table with 9 columns and 12 rows
  Intercept | PersonID phase1 | PersonID phase2 | PersonID phase3 | PersonID phase4 | PersonID phase5 | PersonID phase6 | PersonID phase8 | PersonID
Intercept | PersonID .751119 -.033058 -.246713 .085206 -.121133 .053172 -.207524 -.019914
phase1 | PersonID -.033058 .036112 -.025874 -.000495 -.017127 .008023 -.038804 -.006060
phase2 | PersonID -.246713 -.025874 .236425 -.044210 .084283 -.020694 .039626 .001042
phase3 | PersonID .085206 -.000495 -.044210 .116595 -.066711 .032308 -.076655 -.005127
phase4 | PersonID -.121133 -.017127 .084283 -.066711 .086531 -.040326 .087388 .002191
phase5 | PersonID .053172 .008023 -.020694 .032308 -.040326 .059321 -.113396 -.007037
phase6 | PersonID -.207524 -.038804 .039626 -.076655 .087388 -.113396 .365787 .025901
phase8 | PersonID -.019914 -.006060 .001042 -.005127 .002191 -.007037 .025901 .008400
Unstructured
a. Dependent Variable: Comfort Outcome.
Random Effects Covariance Structures (G)
Random Effects Covariance Structures (G) - rand1314 [subject = PersonID] - May 7, 2016
rand1314 [subject = PersonID]arand1314 [subject = PersonID], table, 1 levels of column headers and 1 levels of row headers, table with 2 columns and 5 rows
  rand1314 | PersonID
rand1314 | PersonID .106996
Variance Components
a. Dependent Variable: Comfort Outcome.
Random Effects Covariance Structures (G)
Random Effects Covariance Structures (G) - rand1011 [subject = PersonID] - May 7, 2016
rand1011 [subject = PersonID]arand1011 [subject = PersonID], table, 1 levels of column headers and 1 levels of row headers, table with 2 columns and 5 rows
  rand1011 | PersonID
rand1011 | PersonID .075150
Variance Components
a. Dependent Variable: Comfort Outcome.
Custom Hypothesis Test 1 (PH Intercept)
Custom Hypothesis Test 1 (PH Intercept) - Contrast Estimates - May 7, 2016
Contrast Estimatesa,bContrast Estimates, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 6 rows
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 2.845763 .072501 425.799 0 39.251 .000 2.703259 2.988267
a. PH Intercept
b. Dependent Variable: Comfort Outcome.
Custom Hypothesis Test 2 (PH phase 1 slope)
Custom Hypothesis Test 2 (PH phase 1 slope) - Contrast Estimates - May 7, 2016
Contrast Estimatesa,bContrast Estimates, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 6 rows
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -.234168 .018815 418.807 0 -12.446 .000 -.271152 -.197185
a. PH phase 1 slope
b. Dependent Variable: Comfort Outcome.
Custom Hypothesis Test 3 (PH phase 2 slope)
Custom Hypothesis Test 3 (PH phase 2 slope) - Contrast Estimates - May 7, 2016
Contrast Estimatesa,bContrast Estimates, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 6 rows
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -.433765 .059520 403.405 0 -7.288 .000 -.550772 -.316757
a. PH phase 2 slope
b. Dependent Variable: Comfort Outcome.
Custom Hypothesis Test 4 (PH phase 3 slope)
Custom Hypothesis Test 4 (PH phase 3 slope) - Contrast Estimates - May 7, 2016
Contrast Estimatesa,bContrast Estimates, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 6 rows
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 .307140 .056081 400.850 0 5.477 .000 .196891 .417389
a. PH phase 3 slope
b. Dependent Variable: Comfort Outcome.
Custom Hypothesis Test 5 (PH phase 4 slope)
Custom Hypothesis Test 5 (PH phase 4 slope) - Contrast Estimates - May 7, 2016
Contrast Estimatesa,bContrast Estimates, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 6 rows
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -.197645 .030002 403.888 0 -6.588 .000 -.256625 -.138665
a. PH phase 4 slope
b. Dependent Variable: Comfort Outcome.
Custom Hypothesis Test 6 (PH phase 5 slope)
Custom Hypothesis Test 6 (PH phase 5 slope) - Contrast Estimates - May 7, 2016
Contrast Estimatesa,bContrast Estimates, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 6 rows
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 .069040 .027928 399.409 0 2.472 .014 .014135 .123945
a. PH phase 5 slope
b. Dependent Variable: Comfort Outcome.
Custom Hypothesis Test 7 (PH phase 6 slope)
Custom Hypothesis Test 7 (PH phase 6 slope) - Contrast Estimates - May 7, 2016
Contrast Estimatesa,bContrast Estimates, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 6 rows
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -.244665 .060997 422.380 0 -4.011 .000 -.364560 -.124770
a. PH phase 6 slope
b. Dependent Variable: Comfort Outcome.
Custom Hypothesis Test 8 (PH phase 8 slope)
Custom Hypothesis Test 8 (PH phase 8 slope) - Contrast Estimates - May 7, 2016
Contrast Estimatesa,bContrast Estimates, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 6 rows
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -.180656 .022104 1753.680 0 -8.173 .000 -.224009 -.137304
a. PH phase 8 slope
b. Dependent Variable: Comfort Outcome.
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