Chapter 8: Descriptive Statistics for Time-Invariant Variables



Summarize



[PersonMeans8] 


Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 8 rows
  Cases
Included Excluded Total
N Percent N Percent N Percent
PMwomen 105 100.0% 0 0.0% 105 100.0%
PMbaseage 105 100.0% 0 0.0% 105 100.0%
PMmood 105 100.0% 0 0.0% 105 100.0%
PMstressor 105 100.0% 0 0.0% 105 100.0%
ReportReport, table, 1 levels of column headers and 1 levels of row headers, table with 5 columns and 7 rows
  PMwomen PMbaseage PMmood PMstressor
N 105 105 105 105
Mean .7333 80.1297 1.2061 .4495
Std. Deviation .44434 6.10501 .26689 .33623
Minimum .00 69.70 1.00 .00
Maximum 1.00 95.31 2.52 1.00


Chapter 8: Descriptive Statistics for Time-Varying Variables



Summarize



[Chapter8] C:\Dropbox\PilesOfVariance\Chapter8\SPSS\SPSS_Chapter8.sav


Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 9 rows
  Cases
Included Excluded Total
N Percent N Percent N Percent
symptoms: # Daily Physical Symptoms (0=5) 509 100.0% 0 0.0% 509 100.0%
mood: Daily Negative Mood (1-5) 509 100.0% 0 0.0% 509 100.0%
stressor: Daily Stressor (0=No, 1=Yes) 509 100.0% 0 0.0% 509 100.0%
WPmood: Within-Person Negative Mood (0=PM) 509 100.0% 0 0.0% 509 100.0%
WPstressor: Within-Person Stressors (0=PM) 509 100.0% 0 0.0% 509 100.0%
ReportReport, table, 1 levels of column headers and 1 levels of row headers, table with 6 columns and 7 rows
  symptoms: # Daily Physical Symptoms (0=5) mood: Daily Negative Mood (1-5) stressor: Daily Stressor (0=No, 1=Yes) WPmood: Within-Person Negative Mood (0=PM) WPstressor: Within-Person Stressors (0=PM)
N 509 509 509 509 509
Mean 1.27 1.20 .45 .0005 .0039
Std. Deviation 1.324 .380 .498 .27292 .36713
Minimum 0 1 0 -.72 -.80
Maximum 5 4 1 1.28 .80


Eq 8.1: Conditional Baseline Model; Just Sex and Age in the Model for the Means



Mixed Model Analysis


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.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 10 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
women 1   1  
age80 1   1  
women * age80 1   1  
Random Effects Intercept 1 Identity 1 PersonID
Residual     1  
Total 5   6  
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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 1432.578
Akaike's Information Criterion (AIC) 1444.578
Hurvich and Tsai's Criterion (AICC) 1444.745
Bozdogan's Criterion (CAIC) 1475.973
Schwarz's Bayesian Criterion (BIC) 1469.973
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Fixed Effects


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 1 106.047 66.032 .000
women 1 105.414 4.686 .033
age80 1 107.877 7.282 .008
women * age80 1 106.968 6.847 .010
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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 1.712739 .210773 106.047 8.126 .000 1.294863 2.130615
women -.530642 .245132 105.414 -2.165 .033 -1.016672 -.044612
age80 .099999 .037057 107.877 2.698 .008 .026544 .173455
women * age80 -.110428 .042201 106.968 -2.617 .010 -.194087 -.026769
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Covariance Parameters


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
Residual .615189 .043329 14.198 .000 .535866 .706254
Intercept [subject = PersonID] Variance 1.072737 .166721 6.434 .000 .791047 1.454736
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Ch 8: Empty Means, Random Intercept Model for Negative Mood Predictor



Mixed Model Analysis


WarningsWarnings, table, 0 levels of column headers and 0 levels of row headers, table with 1 columns and 3 rows
A(n) FIXED subcommand has no specifications and will therefore be ignored.
The covariance structure for random effect with only one level will be changed to Identity.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 7 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
Random Effects Intercept 1 Identity 1 PersonID
Residual     1  
Total 2   3  
a. Dependent Variable: mood: Daily Negative Mood (1-5).
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 373.701
Akaike's Information Criterion (AIC) 379.701
Hurvich and Tsai's Criterion (AICC) 379.748
Bozdogan's Criterion (CAIC) 395.398
Schwarz's Bayesian Criterion (BIC) 392.398
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: mood: Daily Negative Mood (1-5).


Fixed Effects


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 1 102.795 2122.213 .000
a. Dependent Variable: mood: Daily Negative Mood (1-5).
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 1.204359 .026143 102.795 46.067 .000 1.152508 1.256209
a. Dependent Variable: mood: Daily Negative Mood (1-5).


Covariance Parameters


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
Residual .093047 .006563 14.178 .000 .081034 .106842
Intercept [subject = PersonID] Variance .052399 .010103 5.186 .000 .035909 .076461
a. Dependent Variable: mood: Daily Negative Mood (1-5).


Eq 8.3: Adding BP and WP Effects of Negative Mood to the Model for the Means; Using Person-Mean-Centering for Negative Mood



Mixed Model Analysis


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.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 12 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
women 1   1  
age80 1   1  
women * age80 1   1  
PMmood2 1   1  
WPmood 1   1  
Random Effects Intercept 1 Identity 1 PersonID
Residual     1  
Total 7   8  
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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 1405.673
Akaike's Information Criterion (AIC) 1421.673
Hurvich and Tsai's Criterion (AICC) 1421.961
Bozdogan's Criterion (CAIC) 1463.533
Schwarz's Bayesian Criterion (BIC) 1455.533
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Fixed Effects


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 9 rows
Source Numerator df Denominator df F Sig.
Intercept 1 105.880 89.175 .000
women 1 105.335 5.675 .019
age80 1 107.758 3.989 .048
women * age80 1 107.046 5.944 .016
PMmood2 1 104.877 28.547 .000
WPmood 1 404.162 1.552 .214
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 10 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 3.265483 .345801 105.880 9.443 .000 2.579890 3.951076
women -.518135 .217506 105.335 -2.382 .019 -.949393 -.086877
age80 .066899 .033494 107.758 1.997 .048 .000507 .133292
women * age80 -.091762 .037637 107.046 -2.438 .016 -.166373 -.017151
PMmood2 1.970103 .368732 104.877 5.343 .000 1.238965 2.701240
WPmood .159103 .127716 404.162 1.246 .214 -.091968 .410174
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Covariance Parameters


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
Residual .612734 .043174 14.192 .000 .533697 .703476
Intercept [subject = PersonID] Variance .816153 .131371 6.213 .000 .595331 1.118882
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 1 (Multivariate Test of BP and WP Negative Mood Fixed Effects)


Contrast Estimatesa,bContrast Estimates, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 7 rows
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 1.970103 .368732 104.877 0 5.343 .000 1.238965 2.701240
L2 .159103 .127716 404.162 0 1.246 .214 -.091968 .410174
a. Multivariate Test of BP and WP Negative Mood Fixed Effects
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Test of ContrastsaTest of Contrasts, 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.
Multivariate Test of BP and WP Negative Mood Fixed Effects 2 165.849 15.092 .000
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 2 (Age Slope for Men)


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 .066899 .033494 107.758 0 1.997 .048 .000507 .133292
a. Age Slope for Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 3 (Age Slope for Women)


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 -.024863 .018099 103.517 0 -1.374 .172 -.060756 .011030
a. Age Slope for Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 4 (Contextual Negative Mood Effect)


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 1.810999 .390993 132.127 0 4.632 .000 1.037584 2.584415
a. Contextual Negative Mood Effect
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 5 (Predicted Symptoms for PMmood=2 WPmood=-1)


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 3.106380 .368770 136.407 0 8.424 .000 2.377134 3.835625
a. Predicted Symptoms for PMmood=2 WPmood=-1
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 6 (Predicted Symptoms for PMmood=2 WPmood=0)


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 3.265483 .345801 105.880 0 9.443 .000 2.579890 3.951076
a. Predicted Symptoms for PMmood=2 WPmood=0
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 7 (Predicted Symptoms for PMmood=2 WPmood=1)


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 3.424586 .368495 135.642 0 9.293 .000 2.695848 4.153324
a. Predicted Symptoms for PMmood=2 WPmood=1
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 8 (Predicted Symptoms for PMmood=3 WPmood=-1)


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 5.076483 .697874 113.116 0 7.274 .000 3.693884 6.459081
a. Predicted Symptoms for PMmood=3 WPmood=-1
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 9 (Predicted Symptoms for PMmood=3 WPmood=0)


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 5.235586 .685576 105.337 0 7.637 .000 3.876266 6.594906
a. Predicted Symptoms for PMmood=3 WPmood=0
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 10 (Predicted Symptoms for PMmood=3 WPmood=1)


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 5.394689 .696867 112.355 0 7.741 .000 4.013983 6.775395
a. Predicted Symptoms for PMmood=3 WPmood=1
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 11 (Predicted Symptoms for PMmood=1 WPmood=0)


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 1.295380 .202655 105.428 0 6.392 .000 .893572 1.697188
a. Predicted Symptoms for PMmood=1 WPmood=0
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 12 (Predicted Symptoms for PMmood=2 WPmood=0)


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 3.265483 .345801 105.880 0 9.443 .000 2.579890 3.951076
a. Predicted Symptoms for PMmood=2 WPmood=0
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 13 (Predicted Symptoms for PMmood=3 WPmood=0)


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 5.235586 .685576 105.337 0 7.637 .000 3.876266 6.594906
a. Predicted Symptoms for PMmood=3 WPmood=0
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 14 (Predicted Symptoms for PMmood=4 WPmood=0)


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 7.205688 1.045169 105.163 0 6.894 .000 5.133350 9.278027
a. Predicted Symptoms for PMmood=4 WPmood=0
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Correlations


CorrelationsCorrelations, table, 1 levels of column headers and 2 levels of row headers, table with 4 columns and 8 rows
  symptoms: # Daily Physical Symptoms (0=5) Fixed Predicted Values
symptoms: # Daily Physical Symptoms (0=5) Pearson Correlation 1 .442
Sig. (2-tailed)   .000
N 509 509
Fixed Predicted Values Pearson Correlation .442 1
Sig. (2-tailed) .000  
N 509 509


Eq 8.5: Adding Smushed Effect of Negative Mood to the Model for the Means; Using Grand-Mean-Centering for Negative Mood



Mixed Model Analysis


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.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 11 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
women 1   1  
age80 1   1  
women * age80 1   1  
mood2 1   1  
Random Effects Intercept 1 Identity 1 PersonID
Residual     1  
Total 6   7  
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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 1425.483
Akaike's Information Criterion (AIC) 1439.483
Hurvich and Tsai's Criterion (AICC) 1439.706
Bozdogan's Criterion (CAIC) 1476.110
Schwarz's Bayesian Criterion (BIC) 1469.110
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Fixed Effects


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 8 rows
Source Numerator df Denominator df F Sig.
Intercept 1 147.794 76.372 .000
women 1 102.520 5.036 .027
age80 1 105.449 7.049 .009
women * age80 1 104.174 7.030 .009
mood2 1 472.283 7.326 .007
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 9 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 1.975617 .226067 147.794 8.739 .000 1.528876 2.422358
women -.532377 .237240 102.520 -2.244 .027 -1.002913 -.061841
age80 .095352 .035915 105.449 2.655 .009 .024143 .166561
women * age80 -.108328 .040858 104.174 -2.651 .009 -.189350 -.027307
mood2 .329496 .121734 472.283 2.707 .007 .090288 .568704
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Covariance Parameters


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
Residual .614916 .043474 14.144 .000 .535348 .706309
Intercept [subject = PersonID] Variance .996231 .158500 6.285 .000 .729348 1.360772
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 1 (Age Slope for Men)


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 .095352 .035915 105.449 0 2.655 .009 .024143 .166561
a. Age Slope for Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 2 (Age Slope for Women)


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 -.012976 .019559 101.452 0 -.663 .509 -.051774 .025822
a. Age Slope for Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Eq 8.7: Adding a Contextual Effect of Negative Mood to the Model for the Means; Using Person-Mean-Centering for Negative Mood



Mixed Model Analysis


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.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 12 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
women 1   1  
age80 1   1  
women * age80 1   1  
mood2 1   1  
PMmood2 1   1  
Random Effects Intercept 1 Identity 1 PersonID
Residual     1  
Total 7   8  
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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 1405.673
Akaike's Information Criterion (AIC) 1421.673
Hurvich and Tsai's Criterion (AICC) 1421.961
Bozdogan's Criterion (CAIC) 1463.533
Schwarz's Bayesian Criterion (BIC) 1455.533
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Fixed Effects


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 9 rows
Source Numerator df Denominator df F Sig.
Intercept 1 105.880 89.175 .000
women 1 105.335 5.675 .019
age80 1 107.758 3.989 .048
women * age80 1 107.046 5.944 .016
mood2 1 404.162 1.552 .214
PMmood2 1 132.127 21.454 .000
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 10 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 3.265483 .345801 105.880 9.443 .000 2.579890 3.951076
women -.518135 .217506 105.335 -2.382 .019 -.949393 -.086877
age80 .066899 .033494 107.758 1.997 .048 .000507 .133292
women * age80 -.091762 .037637 107.046 -2.438 .016 -.166373 -.017151
mood2 .159103 .127716 404.162 1.246 .214 -.091968 .410174
PMmood2 1.810999 .390993 132.127 4.632 .000 1.037584 2.584415
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Covariance Parameters


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
Residual .612734 .043174 14.192 .000 .533697 .703476
Intercept [subject = PersonID] Variance .816153 .131371 6.213 .000 .595331 1.118882
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 1 (Age Slope for Men)


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 .066899 .033494 107.758 0 1.997 .048 .000507 .133292
a. Age Slope for Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 2 (Age Slope for Women)


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 -.024863 .018099 103.517 0 -1.374 .172 -.060756 .011030
a. Age Slope for Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 3 (Between-Person Negative Mood Effect)


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 1.970103 .368732 104.877 0 5.343 .000 1.238965 2.701240
a. Between-Person Negative Mood Effect
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Correlations


CorrelationsCorrelations, table, 1 levels of column headers and 2 levels of row headers, table with 4 columns and 8 rows
  symptoms: # Daily Physical Symptoms (0=5) Fixed Predicted Values
symptoms: # Daily Physical Symptoms (0=5) Pearson Correlation 1 .442
Sig. (2-tailed)   .000
N 509 509
Fixed Predicted Values Pearson Correlation .442 1
Sig. (2-tailed) .000  
N 509 509


Eq 8.9: Adding a Random Effect of Negative Mood to the Model for the Variance; Using Person-Mean-Centering for Negative Mood



Mixed Model Analysis


Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 13 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
women 1   1  
age80 1   1  
women * age80 1   1  
PMmood2 1   1  
WPmood 1   1  
Random Effects Intercept + WPmoodb 2 Unstructured 3 PersonID
Residual     1  
Total 8   10  
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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.
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 1404.150
Akaike's Information Criterion (AIC) 1424.150
Hurvich and Tsai's Criterion (AICC) 1424.592
Bozdogan's Criterion (CAIC) 1476.475
Schwarz's Bayesian Criterion (BIC) 1466.475
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Fixed Effects


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 9 rows
Source Numerator df Denominator df F Sig.
Intercept 1 106.019 90.230 .000
women 1 104.533 6.147 .015
age80 1 105.136 3.992 .048
women * age80 1 104.837 6.167 .015
PMmood2 1 104.940 28.479 .000
WPmood 1 28.401 1.385 .249
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 10 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 3.272504 .344513 106.019 9.499 .000 2.589475 3.955532
women -.536131 .216235 104.533 -2.479 .015 -.964908 -.107354
age80 .066331 .033198 105.136 1.998 .048 .000507 .132154
women * age80 -.092706 .037331 104.837 -2.483 .015 -.166727 -.018685
PMmood2 1.961056 .367475 104.940 5.337 .000 1.232416 2.689696
WPmood .158855 .134959 28.401 1.177 .249 -.117421 .435130
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Covariance Parameters


Estimates of Covariance ParametersaEstimates of Covariance Parameters, table, 2 levels of column headers and 2 levels of row headers, table with 8 columns and 8 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Residual .606619 .044577 13.608 .000 .525249 .700594
Intercept + WPmood [subject = PersonID] UN (1,1) .817186 .131457 6.216 .000 .596200 1.120082
UN (2,1) .132592 .135545 .978 .328 -.133072 .398256
UN (2,2) .062331 .140251 .444 .657 .000758 5.128700
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Random Effect Covariance Structure (G)aRandom Effect Covariance Structure (G), table, 1 levels of column headers and 1 levels of row headers, table with 3 columns and 6 rows
  Intercept | PersonID WPmood | PersonID
Intercept | PersonID .817186 .132592
WPmood | PersonID .132592 .062331
Unstructured
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Eq 8.9: Adding a Random Effect of Negative Mood to the Model for the Variance; Using Grand-Mean-Centering for Negative Mood



Mixed Model Analysis


Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 13 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
women 1   1  
age80 1   1  
women * age80 1   1  
mood2 1   1  
PMmood2 1   1  
Random Effects Intercept + mood2b 2 Unstructured 3 PersonID
Residual     1  
Total 8   10  
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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.
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 1403.403
Akaike's Information Criterion (AIC) 1423.403
Hurvich and Tsai's Criterion (AICC) 1423.845
Bozdogan's Criterion (CAIC) 1475.728
Schwarz's Bayesian Criterion (BIC) 1465.728
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Fixed Effects


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 9 rows
Source Numerator df Denominator df F Sig.
Intercept 1 80.796 83.099 .000
women 1 104.334 5.742 .018
age80 1 109.978 3.428 .067
women * age80 1 109.195 5.345 .023
mood2 1 29.588 1.613 .214
PMmood2 1 132.679 23.618 .000
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 10 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 3.366618 .369314 80.796 9.116 .000 2.631770 4.101466
women -.515759 .215236 104.334 -2.396 .018 -.942564 -.088954
age80 .062017 .033493 109.978 1.852 .067 -.004359 .128393
women * age80 -.087008 .037635 109.195 -2.312 .023 -.161597 -.012419
mood2 .171130 .134735 29.588 1.270 .214 -.104196 .446456
PMmood2 1.927590 .396633 132.679 4.860 .000 1.143047 2.712132
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Covariance Parameters


Estimates of Covariance ParametersaEstimates of Covariance Parameters, table, 2 levels of column headers and 2 levels of row headers, table with 8 columns and 8 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Residual .607580 .044589 13.626 .000 .526181 .701571
Intercept + mood2 [subject = PersonID] UN (1,1) 1.099688 .284474 3.866 .000 .662332 1.825842
UN (2,1) .207261 .169254 1.225 .221 -.124470 .538992
UN (2,2) .062745 .137955 .455 .649 .000843 4.667570
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Random Effect Covariance Structure (G)aRandom Effect Covariance Structure (G), table, 1 levels of column headers and 1 levels of row headers, table with 3 columns and 6 rows
  Intercept | PersonID mood2 | PersonID
Intercept | PersonID 1.099688 .207261
mood2 | PersonID .207261 .062745
Unstructured
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Eq 8.10: Adding Contextual and WP Effects of Stressors to the Model for the Means; Using Person-Mean-Centering for Negative Mood, Grand-Mean-Centering for Stressors



Mixed Model Analysis


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.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 14 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
women 1   1  
age80 1   1  
women * age80 1   1  
PMmood2 1   1  
WPmood 1   1  
PMstressor40 1   1  
stressor 1   1  
Random Effects Intercept 1 Identity 1 PersonID
Residual     1  
Total 9   10  
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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 1392.808
Akaike's Information Criterion (AIC) 1412.808
Hurvich and Tsai's Criterion (AICC) 1413.249
Bozdogan's Criterion (CAIC) 1465.132
Schwarz's Bayesian Criterion (BIC) 1455.132
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Fixed Effects


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 11 rows
Source Numerator df Denominator df F Sig.
Intercept 1 109.475 62.588 .000
women 1 105.347 6.225 .014
age80 1 107.940 5.284 .023
women * age80 1 107.186 6.929 .010
PMmood2 1 105.272 15.572 .000
WPmood 1 404.078 1.052 .306
PMstressor40 1 128.211 9.682 .002
stressor 1 403.292 .779 .378
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 12 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 2.783695 .351866 109.475 7.911 .000 2.086341 3.481048
women -.512497 .205405 105.347 -2.495 .014 -.919762 -.105232
age80 .072878 .031703 107.940 2.299 .023 .010037 .135719
women * age80 -.093619 .035565 107.186 -2.632 .010 -.164121 -.023116
PMmood2 1.476796 .374235 105.272 3.946 .000 .734779 2.218812
WPmood .133879 .130517 404.078 1.026 .306 -.122698 .390456
PMstressor40 .943244 .303131 128.211 3.112 .002 .343457 1.543032
stressor .085547 .096904 403.292 .883 .378 -.104954 .276047
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Covariance Parameters


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
Residual .611596 .043101 14.190 .000 .532694 .702186
Intercept [subject = PersonID] Variance .713523 .117205 6.088 .000 .517115 .984530
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 1 (Multivariate Test of Stressor Fixed Effects)


Contrast Estimatesa,bContrast Estimates, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 7 rows
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 .943244 .303131 128.211 0 3.112 .002 .343457 1.543032
L2 .085547 .096904 403.292 0 .883 .378 -.104954 .276047
a. Multivariate Test of Stressor Fixed Effects
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Test of ContrastsaTest of Contrasts, 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.
Multivariate Test of Stressor Fixed Effects 2 209.893 6.792 .001
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 2 (Intercept for Women)


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 2.271197 .323002 108.476 0 7.032 .000 1.630982 2.911412
a. Intercept for Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 3 (Age Slope for Women)


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 -.020741 .017122 103.374 0 -1.211 .229 -.054697 .013215
a. Age Slope for Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 4 (Contextual Negative Mood Effect)


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 1.342917 .396937 132.775 0 3.383 .001 .557779 2.128054
a. Contextual Negative Mood Effect
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 5 (Between-Person Stressor Effect)


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 1.028791 .287383 103.851 0 3.580 .001 .458891 1.598691
a. Between-Person Stressor Effect
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 6 (Contextual Negative Mood Effect Per Day)


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 .295359 .074847 105.272 0 3.946 .000 .146956 .443762
a. Contextual Negative Mood Effect Per Day
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Correlations


CorrelationsCorrelations, table, 1 levels of column headers and 2 levels of row headers, table with 4 columns and 8 rows
  symptoms: # Daily Physical Symptoms (0=5) Fixed Predicted Values
symptoms: # Daily Physical Symptoms (0=5) Pearson Correlation 1 .503
Sig. (2-tailed)   .000
N 509 509
Fixed Predicted Values Pearson Correlation .503 1
Sig. (2-tailed) .000  
N 509 509


Ch 8: Adding Random WP Effect of Stressors to the Model for the Variance; Using Person-Mean-Centering for Negative Mood, Grand-Mean-Centering for Stressors



Mixed Model Analysis


WarningsWarnings, table, 0 levels of column headers and 0 levels of row headers, table with 1 columns and 2 rows
Iteration was terminated but convergence has not been achieved. The MIXED procedure continues despite this warning. Subsequent results produced are based on the last iteration. Validity of the model fit is uncertain.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 15 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
women 1   1  
age80 1   1  
women * age80 1   1  
PMmood2 1   1  
WPmood 1   1  
PMstressor40 1   1  
stressor 1   1  
Random Effects Intercept + stressorb 2 Unstructured 3 PersonID
Residual     1  
Total 10   12  
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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.
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 1385.096
Akaike's Information Criterion (AIC) 1409.096
Hurvich and Tsai's Criterion (AICC) 1409.725
Bozdogan's Criterion (CAIC) 1471.885
Schwarz's Bayesian Criterion (BIC) 1459.885
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Fixed Effects


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 11 rows
Source Numerator df Denominator df F Sig.
Intercept 1 120.087 65.894 .000
women 1 96.366 3.948 .050
age80 1 106.070 5.390 .022
women * age80 1 102.773 7.434 .008
PMmood2 1 119.066 18.438 .000
WPmood 1 403.390 1.151 .284
PMstressor40 1 130.077 10.315 .002
stressor 1 452.070 .570 .451
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 12 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 2.786999 .343331 120.087 8.118 .000 2.107232 3.466766
women -.377883 .190173 96.366 -1.987 .050 -.755355 -.000410
age80 .069191 .029804 106.070 2.322 .022 .010102 .128280
women * age80 -.090786 .033297 102.773 -2.727 .008 -.156824 -.024748
PMmood2 1.599414 .372484 119.066 4.294 .000 .861863 2.336964
WPmood .140299 .130799 403.390 1.073 .284 -.116834 .397432
PMstressor40 .933182 .290561 130.077 3.212 .002 .358346 1.508019
stressor .076307 .101100 452.070 .755 .451 -.122378 .274992
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Covariance Parameters


Estimates of Covariance ParametersaEstimates of Covariance Parameters, table, 2 levels of column headers and 2 levels of row headers, table with 8 columns and 9 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Residual .609986 .043849 13.911 .000 .529823 .702278
Intercept + stressor [subject = PersonID] UN (1,1) .466620 .109221 4.272 .000 .294934 .738249
UN (2,1) .193122 .084851 2.276 .023 .026817 .359427
UN (2,2) .079990b .000000 . . . .
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
b. This covariance parameter is redundant. The test statistic and confidence interval cannot be computed.
Random Effect Covariance Structure (G)aRandom Effect Covariance Structure (G), table, 1 levels of column headers and 1 levels of row headers, table with 3 columns and 6 rows
  Intercept | PersonID stressor | PersonID
Intercept | PersonID .466620 .193122
stressor | PersonID .193122 .079990
Unstructured
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Eq 8.11: Adding 4 Sex*Negative Mood and Sex*Stressors Interactions to the Model for the Means; Using Person-Mean-Centering for Negative Mood, Grand-Mean-Centering for Stressors



Mixed Model Analysis


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.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 18 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
women 1   1  
age80 1   1  
women * age80 1   1  
PMmood2 1   1  
WPmood 1   1  
PMstressor40 1   1  
stressor 1   1  
women * PMmood2 1   1  
women * WPmood 1   1  
women * PMstressor40 1   1  
women * stressor 1   1  
Random Effects Intercept 1 Identity 1 PersonID
Residual     1  
Total 13   14  
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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 1383.863
Akaike's Information Criterion (AIC) 1411.863
Hurvich and Tsai's Criterion (AICC) 1412.713
Bozdogan's Criterion (CAIC) 1485.118
Schwarz's Bayesian Criterion (BIC) 1471.118
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Fixed Effects


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 15 rows
Source Numerator df Denominator df F Sig.
Intercept 1 111.786 14.507 .000
women 1 111.434 .649 .422
age80 1 106.153 3.646 .059
women * age80 1 105.640 5.063 .027
PMmood2 1 108.871 3.884 .051
WPmood 1 407.328 .325 .569
PMstressor40 1 122.706 8.867 .003
stressor 1 403.874 2.001 .158
women * PMmood2 1 108.277 .186 .667
women * WPmood 1 406.415 1.540 .215
women * PMstressor40 1 124.865 2.945 .089
women * stressor 1 403.721 1.261 .262
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 16 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 2.915829 .765537 111.786 3.809 .000 1.398984 4.432673
women -.674365 .837164 111.434 -.806 .422 -2.333190 .984461
age80 .064150 .033594 106.153 1.910 .059 -.002453 .130752
women * age80 -.084348 .037486 105.640 -2.250 .027 -.158670 -.010026
PMmood2 1.814308 .920599 108.871 1.971 .051 -.010314 3.638929
WPmood -.155532 .272923 407.328 -.570 .569 -.692044 .380981
PMstressor40 1.984957 .666592 122.706 2.978 .003 .665448 3.304466
stressor .243526 .172140 403.874 1.415 .158 -.094877 .581929
women * PMmood2 -.431851 1.001718 108.277 -.431 .667 -2.417374 1.553671
women * WPmood .385513 .310659 406.415 1.241 .215 -.225185 .996212
women * PMstressor40 -1.276958 .744128 124.865 -1.716 .089 -2.749696 .195780
women * stressor -.233612 .208017 403.721 -1.123 .262 -.642545 .175320
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Covariance Parameters


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
Residual .608057 .042838 14.194 .000 .529635 .698090
Intercept [subject = PersonID] Variance .663024 .109958 6.030 .000 .479032 .917687
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 1 (Multivariate Test of 4 Sex Interactions)


Contrast Estimatesa,bContrast Estimates, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 9 rows
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -.431851 1.001718 108.277 0 -.431 .667 -2.417374 1.553671
L2 .385513 .310659 406.415 0 1.241 .215 -.225185 .996212
L3 -1.276958 .744128 124.865 0 -1.716 .089 -2.749696 .195780
L4 -.233612 .208017 403.721 0 -1.123 .262 -.642545 .175320
a. Multivariate Test of 4 Sex Interactions
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Test of ContrastsaTest of Contrasts, 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.
Multivariate Test of 4 Sex Interactions 4 188.249 2.290 .061
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 2 (Intercept: Men)


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 2.915829 .765537 111.786 0 3.809 .000 1.398984 4.432673
a. Intercept: Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 3 (Intercept: Women)


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 2.241464 .338818 109.665 0 6.616 .000 1.569983 2.912945
a. Intercept: Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 4 (Intercept: Sex Diff)


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 -.674365 .837164 111.434 0 -.806 .422 -2.333190 .984461
a. Intercept: Sex Diff
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 5 (Age Slope: Men)


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 .064150 .033594 106.153 0 1.910 .059 -.002453 .130752
a. Age Slope: Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 6 (Age Slope: Women)


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 -.020198 .016632 103.580 0 -1.214 .227 -.053181 .012785
a. Age Slope: Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 7 (Age Slope: Sex Diff)


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 -.084348 .037486 105.640 0 -2.250 .027 -.158670 -.010026
a. Age Slope: Sex Diff
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 8 (BP Negative Mood: Men)


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 1.814308 .920599 108.871 0 1.971 .051 -.010314 3.638929
a. BP Negative Mood: Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 9 (BP Negative Mood: Women)


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 1.382456 .394889 105.124 0 3.501 .001 .599474 2.165438
a. BP Negative Mood: Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 10 (BP Negative Mood: Sex Diff)


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 -.431851 1.001718 108.277 0 -.431 .667 -2.417374 1.553671
a. BP Negative Mood: Sex Diff
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 11 (Contextual Negative Mood: Men)


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 1.969839 .953328 125.425 0 2.066 .041 .083148 3.856530
a. Contextual Negative Mood: Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 12 (Contextual Negative Mood: Women)


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 1.152475 .423469 138.181 0 2.722 .007 .315158 1.989791
a. Contextual Negative Mood: Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 13 (Contextual Negative Mood: Sex Diff)


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 -.817365 1.043149 127.416 0 -.784 .435 -2.881503 1.246774
a. Contextual Negative Mood: Sex Diff
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 14 (WP Negative Mood: Men)


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 -.155532 .272923 407.328 0 -.570 .569 -.692044 .380981
a. WP Negative Mood: Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 15 (WP Negative Mood: Women)


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 .229982 .148398 403.320 0 1.550 .122 -.061749 .521713
a. WP Negative Mood: Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 16 (WP Negative Mood: Sex Diff)


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 .385513 .310659 406.415 0 1.241 .215 -.225185 .996212
a. WP Negative Mood: Sex Diff
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 17 (BP Stressors: Men)


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 2.228483 .643508 106.741 0 3.463 .001 .952769 3.504197
a. BP Stressors: Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 18 (BP Stressors: Women)


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 .717913 .309723 103.637 0 2.318 .022 .103696 1.332130
a. BP Stressors: Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 19 (BP Stressors: Sex Diff)


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 -1.510570 .714164 106.147 0 -2.115 .037 -2.926447 -.094693
a. BP Stressors: Sex Diff
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 20 (Contextual Stressors: Men)


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 1.984957 .666592 122.706 0 2.978 .003 .665448 3.304466
a. Contextual Stressors: Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 21 (Contextual Stressors: Women)


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 .707999 .330730 134.173 0 2.141 .034 .053880 1.362118
a. Contextual Stressors: Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 22 (Contextual Stressors: Sex Diff)


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 -1.276958 .744128 124.865 0 -1.716 .089 -2.749696 .195780
a. Contextual Stressors: Sex Diff
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 23 (WP Stressors: Men)


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 .243526 .172140 403.874 0 1.415 .158 -.094877 .581929
a. WP Stressors: Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 24 (WP Stressors: Women)


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 .009914 .116786 403.389 0 .085 .932 -.219671 .239499
a. WP Stressors: Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 25 (WP Stressors: Sex Diff)


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 -.233612 .208017 403.721 0 -1.123 .262 -.642545 .175320
a. WP Stressors: Sex Diff
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 26 (Contextual Stressors per Day)


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 .396991 .133318 122.706 0 2.978 .003 .133090 .660893
a. Contextual Stressors per Day
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Correlations


CorrelationsCorrelations, table, 1 levels of column headers and 2 levels of row headers, table with 4 columns and 8 rows
  symptoms: # Daily Physical Symptoms (0=5) Fixed Predicted Values
symptoms: # Daily Physical Symptoms (0=5) Pearson Correlation 1 .530
Sig. (2-tailed)   .000
N 509 509
Fixed Predicted Values Pearson Correlation .530 1
Sig. (2-tailed) .000  
N 509 509


Eq 8.11reduced: Adding Only 2 Sex*Stressors Interactions to the Model for the Means; Using Person-Mean-Centering for Negative Mood, Grand-Mean-Centering for Stressors



Mixed Model Analysis


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.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 16 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
women 1   1  
age80 1   1  
women * age80 1   1  
PMmood2 1   1  
WPmood 1   1  
PMstressor40 1   1  
stressor 1   1  
women * PMstressor40 1   1  
women * stressor 1   1  
Random Effects Intercept 1 Identity 1 PersonID
Residual     1  
Total 11   12  
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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 1385.607
Akaike's Information Criterion (AIC) 1409.607
Hurvich and Tsai's Criterion (AICC) 1410.236
Bozdogan's Criterion (CAIC) 1472.396
Schwarz's Bayesian Criterion (BIC) 1460.396
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Fixed Effects


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 1 115.634 57.648 .000
women 1 143.770 2.514 .115
age80 1 108.172 5.292 .023
women * age80 1 107.387 7.027 .009
PMmood2 1 105.463 16.055 .000
WPmood 1 404.186 1.167 .281
PMstressor40 1 123.307 12.174 .001
stressor 1 403.627 1.587 .208
women * PMstressor40 1 126.393 4.644 .033
women * stressor 1 403.503 .851 .357
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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 2.641646 .347922 115.634 7.593 .000 1.952520 3.330773
women -.347096 .218925 143.770 -1.585 .115 -.779824 .085633
age80 .070827 .030790 108.172 2.300 .023 .009797 .131856
women * age80 -.091546 .034536 107.387 -2.651 .009 -.160006 -.023086
PMmood2 1.455996 .363374 105.463 4.007 .000 .735528 2.176463
WPmood .141083 .130591 404.186 1.080 .281 -.115640 .397806
PMstressor40 2.128526 .610055 123.307 3.489 .001 .920990 3.336062
stressor .215455 .171007 403.627 1.260 .208 -.120721 .551631
women * PMstressor40 -1.456220 .675751 126.393 -2.155 .033 -2.793472 -.118968
women * stressor -.189412 .205369 403.503 -.922 .357 -.593139 .214315
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Covariance Parameters


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
Residual .610251 .043003 14.191 .000 .531528 .700634
Intercept [subject = PersonID] Variance .664739 .110373 6.023 .000 .480084 .920418
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test  (Multivariate Test of 2 Sex Interactions)


Contrast Estimatesa,bContrast Estimates, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 7 rows
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -1.456220 .675751 126.393 0 -2.155 .033 -2.793472 -.118968
L2 -.189412 .205369 403.503 0 -.922 .357 -.593139 .214315
a. Multivariate Test of 2 Sex Interactions
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Test of ContrastsaTest of Contrasts, 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.
Multivariate Test of 2 Sex Interactions 2 205.650 3.696 .026
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Correlations


CorrelationsCorrelations, table, 1 levels of column headers and 2 levels of row headers, table with 4 columns and 8 rows
  symptoms: # Daily Physical Symptoms (0=5) Fixed Predicted Values
symptoms: # Daily Physical Symptoms (0=5) Pearson Correlation 1 .529
Sig. (2-tailed)   .000
N 509 509
Fixed Predicted Values Pearson Correlation .529 1
Sig. (2-tailed) .000  
N 509 509


Eq 8.12: Adding 4 Negative Mood*Stressors Interactions to the Model for the Means; Using Person-Mean-Centering for Negative Mood, Grand-Mean-Centering for Stressors



Mixed Model Analysis


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.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 20 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
women 1   1  
age80 1   1  
women * age80 1   1  
PMmood2 1   1  
WPmood 1   1  
PMstressor40 1   1  
stressor 1   1  
women * PMstressor40 1   1  
women * stressor 1   1  
PMmood2 * stressor 1   1  
PMmood2 * PMstressor40 1   1  
WPmood * stressor 1   1  
WPmood * PMstressor40 1   1  
Random Effects Intercept 1 Identity 1 PersonID
Residual     1  
Total 15   16  
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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 1382.598
Akaike's Information Criterion (AIC) 1414.598
Hurvich and Tsai's Criterion (AICC) 1415.704
Bozdogan's Criterion (CAIC) 1498.317
Schwarz's Bayesian Criterion (BIC) 1482.317
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Fixed Effects


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 17 rows
Source Numerator df Denominator df F Sig.
Intercept 1 142.320 39.934 .000
women 1 144.521 2.600 .109
age80 1 108.292 4.934 .028
women * age80 1 107.836 7.123 .009
PMmood2 1 142.455 12.831 .000
WPmood 1 428.560 .000 .992
PMstressor40 1 132.267 .516 .474
stressor 1 410.860 .312 .577
women * PMstressor40 1 127.475 4.523 .035
women * stressor 1 404.072 .686 .408
PMmood2 * stressor 1 411.987 .001 .979
PMmood2 * PMstressor40 1 139.220 1.411 .237
WPmood * stressor 1 445.179 .021 .884
WPmood * PMstressor40 1 420.790 .687 .408
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 18 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 2.983885 .472186 142.320 6.319 .000 2.050480 3.917290
women -.351102 .217754 144.521 -1.612 .109 -.781495 .079292
age80 .068163 .030686 108.292 2.221 .028 .007340 .128987
women * age80 -.091653 .034341 107.836 -2.669 .009 -.159724 -.023582
PMmood2 1.828212 .510385 142.455 3.582 .000 .819305 2.837119
WPmood -.002817 .271323 428.560 -.010 .992 -.536106 .530473
PMstressor40 .871314 1.212914 132.267 .718 .474 -1.527905 3.270533
stressor .222503 .398430 410.860 .558 .577 -.560713 1.005720
women * PMstressor40 -1.432064 .673363 127.475 -2.127 .035 -2.764480 -.099649
women * stressor -.171109 .206628 404.072 -.828 .408 -.577309 .235091
PMmood2 * stressor .011525 .438882 411.987 .026 .979 -.851201 .874252
PMmood2 * PMstressor40 -1.469969 1.237363 139.220 -1.188 .237 -3.916422 .976484
WPmood * stressor .059013 .402730 445.179 .147 .884 -.732474 .850500
WPmood * PMstressor40 .442706 .534218 420.790 .829 .408 -.607362 1.492775
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Covariance Parameters


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
Residual .607840 .042828 14.192 .000 .529436 .697854
Intercept [subject = PersonID] Variance .654680 .108856 6.014 .000 .472603 .906903
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 1 (Multivariate Test of 4 Negative Mood*Stressors Interactions)


Contrast Estimatesa,bContrast Estimates, table, 2 levels of column headers and 1 levels of row headers, table with 9 columns and 9 rows
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 .011525 .438882 411.987 0 .026 .979 -.851201 .874252
L2 -1.469969 1.237363 139.220 0 -1.188 .237 -3.916422 .976484
L3 .059013 .402730 445.179 0 .147 .884 -.732474 .850500
L4 .442706 .534218 420.790 0 .829 .408 -.607362 1.492775
a. Multivariate Test of 4 Negative Mood*Stressors Interactions
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Test of ContrastsaTest of Contrasts, 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.
Multivariate Test of 4 Negative Mood*Stressors Interactions 4 300.292 .755 .555
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 2 (Intercept: Men)


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 2.983885 .472186 142.320 0 6.319 .000 2.050480 3.917290
a. Intercept: Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 3 (Intercept: Women)


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 2.632784 .450935 140.959 0 5.839 .000 1.741314 3.524253
a. Intercept: Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 4 (Intercept: Sex Diff)


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 -.351102 .217754 144.521 0 -1.612 .109 -.781495 .079292
a. Intercept: Sex Diff
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 5 (Age Slope: Men)


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 .068163 .030686 108.292 0 2.221 .028 .007340 .128987
a. Age Slope: Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 6 (Age Slope: Women)


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 -.023490 .016646 103.691 0 -1.411 .161 -.056501 .009522
a. Age Slope: Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 7 (Age Slope: Sex Diff)


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 -.091653 .034341 107.836 0 -2.669 .009 -.159724 -.023582
a. Age Slope: Sex Diff
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 8 (BP Negative Mood)


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 1.828212 .510385 142.455 0 3.582 .000 .819305 2.837119
a. BP Negative Mood
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 9 (Contextual Negative Mood)


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 1.831029 .545140 179.739 0 3.359 .001 .755331 2.906726
a. Contextual Negative Mood
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 10 (WP Negative Mood)


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 -.002817 .271323 428.560 0 -.010 .992 -.536106 .530473
a. WP Negative Mood
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 11 (BP Stressors: Men)


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 1.093817 1.141565 104.519 0 .958 .340 -1.169817 3.357452
a. BP Stressors: Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 12 (BP Stressors: Women)


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 -.509356 .999426 104.028 0 -.510 .611 -2.491248 1.472537
a. BP Stressors: Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 13 (BP Stressors: Sex Diff)


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 -1.603173 .640257 104.509 0 -2.504 .014 -2.872754 -.333593
a. BP Stressors: Sex Diff
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 14 (Contextual Stressors: Men)


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 .871314 1.212914 132.267 0 .718 .474 -1.527905 3.270533
a. Contextual Stressors: Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 15 (Contextual Stressors: Women)


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 -.560750 1.073882 137.353 0 -.522 .602 -2.684229 1.562728
a. Contextual Stressors: Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 16 (Contextual Stressors: Sex Diff)


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 -1.432064 .673363 127.475 0 -2.127 .035 -2.764480 -.099649
a. Contextual Stressors: Sex Diff
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 17 (WP Stressors: Men)


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 .222503 .398430 410.860 0 .558 .577 -.560713 1.005720
a. WP Stressors: Men
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 18 (WP Stressors: Women)


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 .051395 .376253 411.963 0 .137 .891 -.688221 .791010
a. WP Stressors: Women
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 19 (WP Stressors: Sex Diff)


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 -.171109 .206628 404.072 0 -.828 .408 -.577309 .235091
a. WP Stressors: Sex Diff
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 20 (Contextual Stressors per Day)


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 .174263 .242583 132.267 0 .718 .474 -.305581 .654107
a. Contextual Stressors per Day
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 21 (BP Negative Mood by BP Stressors)


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 -1.458443 1.147902 104.201 0 -1.271 .207 -3.734724 .817837
a. BP Negative Mood by BP Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 22 (BP Negative Mood by Contextual Stressors)


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 -1.469969 1.237363 139.220 0 -1.188 .237 -3.916422 .976484
a. BP Negative Mood by Contextual Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 23 (BP Negative Mood by WP Stressors)


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 .011525 .438882 411.987 0 .026 .979 -.851201 .874252
a. BP Negative Mood by WP Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 24 (Contextual Negative Mood by BP Stressors)


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 -1.960163 1.222791 133.598 0 -1.603 .111 -4.378697 .458371
a. Contextual Negative Mood by BP Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 25 (Contextual Negative Mood by Contextual Stressors)


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 -1.912675 1.340670 185.893 0 -1.427 .155 -4.557560 .732210
a. Contextual Negative Mood by Contextual Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 26 (Contextual Negative Mood by WP Stressors)


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 -.047488 .540999 424.823 0 -.088 .930 -1.110856 1.015880
a. Contextual Negative Mood by WP Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 27 (WP Negative Mood by BP Stressors)


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 .501720 .424508 404.198 0 1.182 .238 -.332800 1.336239
a. WP Negative Mood by BP Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 28 (WP Negative Mood by Contextual Stressors)


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 .442706 .534218 420.790 0 .829 .408 -.607362 1.492775
a. WP Negative Mood by Contextual Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 29 (WP Negative Mood by WP Stressors)


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 .059013 .402730 445.179 0 .147 .884 -.732474 .850500
a. WP Negative Mood by WP Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Correlations


CorrelationsCorrelations, table, 1 levels of column headers and 2 levels of row headers, table with 4 columns and 8 rows
  symptoms: # Daily Physical Symptoms (0=5) Fixed Predicted Values
symptoms: # Daily Physical Symptoms (0=5) Pearson Correlation 1 .534
Sig. (2-tailed)   .000
N 509 509
Fixed Predicted Values Pearson Correlation .534 1
Sig. (2-tailed) .000  
N 509 509


Ch 8: Checking Inter-Variable Interactions via PMC Negative Mood by PMC Stressors



Mixed Model Analysis


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.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 20 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
women 1   1  
age80 1   1  
women * age80 1   1  
PMmood2 1   1  
WPmood 1   1  
PMstressor40 1   1  
WPstressor 1   1  
women * PMstressor40 1   1  
women * WPstressor 1   1  
PMmood2 * WPstressor 1   1  
PMmood2 * PMstressor40 1   1  
WPmood * WPstressor 1   1  
WPmood * PMstressor40 1   1  
Random Effects Intercept 1 Identity 1 PersonID
Residual     1  
Total 15   16  
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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 1382.598
Akaike's Information Criterion (AIC) 1414.598
Hurvich and Tsai's Criterion (AICC) 1415.704
Bozdogan's Criterion (CAIC) 1498.317
Schwarz's Bayesian Criterion (BIC) 1482.317
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Fixed Effects


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 17 rows
Source Numerator df Denominator df F Sig.
Intercept 1 107.325 49.027 .000
women 1 105.839 4.354 .039
age80 1 108.292 4.934 .028
women * age80 1 107.836 7.123 .009
PMmood2 1 105.728 15.057 .000
WPmood 1 407.077 .014 .904
PMstressor40 1 104.519 .918 .340
WPstressor 1 410.860 .312 .577
women * PMstressor40 1 104.509 6.270 .014
women * WPstressor 1 404.072 .686 .408
PMmood2 * WPstressor 1 411.987 .001 .979
PMmood2 * PMstressor40 1 104.201 1.614 .207
WPmood * WPstressor 1 445.179 .021 .884
WPmood * PMstressor40 1 404.198 1.397 .238
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 18 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 3.072886 .438862 107.325 7.002 .000 2.202924 3.942849
women -.419545 .201057 105.839 -2.087 .039 -.818167 -.020923
age80 .068163 .030686 108.292 2.221 .028 .007340 .128987
women * age80 -.091653 .034341 107.836 -2.669 .009 -.159724 -.023582
PMmood2 1.832822 .472333 105.728 3.880 .000 .896347 2.769297
WPmood .020789 .172895 407.077 .120 .904 -.319090 .360668
PMstressor40 1.093817 1.141565 104.519 .958 .340 -1.169817 3.357452
WPstressor .222503 .398430 410.860 .558 .577 -.560713 1.005720
women * PMstressor40 -1.603173 .640257 104.509 -2.504 .014 -2.872754 -.333593
women * WPstressor -.171109 .206628 404.072 -.828 .408 -.577309 .235091
PMmood2 * WPstressor .011525 .438882 411.987 .026 .979 -.851201 .874252
PMmood2 * PMstressor40 -1.458443 1.147902 104.201 -1.271 .207 -3.734724 .817837
WPmood * WPstressor .059013 .402730 445.179 .147 .884 -.732474 .850500
WPmood * PMstressor40 .501720 .424508 404.198 1.182 .238 -.332800 1.336239
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Covariance Parameters


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
Residual .607840 .042828 14.192 .000 .529436 .697854
Intercept [subject = PersonID] Variance .654680 .108856 6.014 .000 .472603 .906903
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 1 (BP Negative Mood by BP Stressors)


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 -1.458443 1.147902 104.201 0 -1.271 .207 -3.734724 .817837
a. BP Negative Mood by BP Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 2 (BP Negative Mood by Contextual Stressors)


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 -1.469969 1.237363 139.220 0 -1.188 .237 -3.916422 .976484
a. BP Negative Mood by Contextual Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 3 (BP Negative Mood by WP Stressors)


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 .011525 .438882 411.987 0 .026 .979 -.851201 .874252
a. BP Negative Mood by WP Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 4 (Contextual Negative Mood by BP Stressors)


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 -1.960163 1.222791 133.598 0 -1.603 .111 -4.378697 .458371
a. Contextual Negative Mood by BP Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 5 (Contextual Negative Mood by Contextual Stressors)


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 -1.912675 1.340670 185.893 0 -1.427 .155 -4.557560 .732210
a. Contextual Negative Mood by Contextual Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 6 (Contextual Negative Mood by WP Stressors)


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 -.047488 .540999 424.823 0 -.088 .930 -1.110856 1.015880
a. Contextual Negative Mood by WP Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 7 (WP Negative Mood by BP Stressors)


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 .501720 .424508 404.198 0 1.182 .238 -.332800 1.336239
a. WP Negative Mood by BP Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 8 (WP Negative Mood by Contextual Stressors)


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 .442706 .534218 420.790 0 .829 .408 -.607362 1.492775
a. WP Negative Mood by Contextual Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 9 (WP Negative Mood by WP Stressors)


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 .059013 .402730 445.179 0 .147 .884 -.732474 .850500
a. WP Negative Mood by WP Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Ch 8: Checking Inter-Variable Interactions via GMC Negative Mood by GMC Stressors



Mixed Model Analysis


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.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 20 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
women 1   1  
age80 1   1  
women * age80 1   1  
PMmood2 1   1  
mood2 1   1  
PMstressor40 1   1  
stressor 1   1  
women * PMstressor40 1   1  
women * stressor 1   1  
PMmood2 * stressor 1   1  
PMmood2 * PMstressor40 1   1  
mood2 * stressor 1   1  
mood2 * PMstressor40 1   1  
Random Effects Intercept 1 Identity 1 PersonID
Residual     1  
Total 15   16  
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
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 1382.598
Akaike's Information Criterion (AIC) 1414.598
Hurvich and Tsai's Criterion (AICC) 1415.704
Bozdogan's Criterion (CAIC) 1498.317
Schwarz's Bayesian Criterion (BIC) 1482.317
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Fixed Effects


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 17 rows
Source Numerator df Denominator df F Sig.
Intercept 1 142.320 39.934 .000
women 1 144.521 2.600 .109
age80 1 108.292 4.934 .028
women * age80 1 107.836 7.123 .009
PMmood2 1 179.739 11.282 .001
mood2 1 428.560 .000 .992
PMstressor40 1 132.267 .516 .474
stressor 1 410.860 .312 .577
women * PMstressor40 1 127.475 4.523 .035
women * stressor 1 404.072 .686 .408
PMmood2 * stressor 1 424.823 .008 .930
PMmood2 * PMstressor40 1 185.893 2.035 .155
mood2 * stressor 1 445.179 .021 .884
mood2 * PMstressor40 1 420.790 .687 .408
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 18 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 2.983885 .472186 142.320 6.319 .000 2.050480 3.917290
women -.351102 .217754 144.521 -1.612 .109 -.781495 .079292
age80 .068163 .030686 108.292 2.221 .028 .007340 .128987
women * age80 -.091653 .034341 107.836 -2.669 .009 -.159724 -.023582
PMmood2 1.831029 .545140 179.739 3.359 .001 .755331 2.906726
mood2 -.002817 .271323 428.560 -.010 .992 -.536106 .530473
PMstressor40 .871314 1.212914 132.267 .718 .474 -1.527905 3.270533
stressor .222503 .398430 410.860 .558 .577 -.560713 1.005720
women * PMstressor40 -1.432064 .673363 127.475 -2.127 .035 -2.764480 -.099649
women * stressor -.171109 .206628 404.072 -.828 .408 -.577309 .235091
PMmood2 * stressor -.047488 .540999 424.823 -.088 .930 -1.110856 1.015880
PMmood2 * PMstressor40 -1.912675 1.340670 185.893 -1.427 .155 -4.557560 .732210
mood2 * stressor .059013 .402730 445.179 .147 .884 -.732474 .850500
mood2 * PMstressor40 .442706 .534218 420.790 .829 .408 -.607362 1.492775
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Covariance Parameters


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
Residual .607840 .042828 14.192 .000 .529436 .697854
Intercept [subject = PersonID] Variance .654680 .108856 6.014 .000 .472603 .906903
a. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 1 (BP Negative Mood by BP Stressors)


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 -1.458443 1.147902 104.201 0 -1.271 .207 -3.734724 .817837
a. BP Negative Mood by BP Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 2 (BP Negative Mood by Contextual Stressors)


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 -1.469969 1.237363 139.220 0 -1.188 .237 -3.916422 .976484
a. BP Negative Mood by Contextual Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 3 (BP Negative Mood by WP Stressors)


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 .011525 .438882 411.987 0 .026 .979 -.851201 .874252
a. BP Negative Mood by WP Stressors
b. Dependent Variable: symptoms: # Daily Physical Symptoms (0=5).


Custom Hypothesis Test 4 (Contextual Negative Mood by BP Stressors)


Contrast Estimatesa,bContrast