Chapter 4 Example: Means by StudyDay for Positive Mood outcome



Summarize


Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 5 rows
  Cases
Included Excluded Total
N Percent N Percent N Percent
posmood: Positive Mood Rating (1 to 5) * studyday: Day of Study (1 to 7) 1370 100.0% 0 0.0% 1370 100.0%
ReportReport, table, posmood: Positive Mood Rating (1 to 5), 1 layers, 1 levels of column headers and 1 levels of row headers, table with 6 columns and 11 rows
posmood: Positive Mood Rating (1 to 5)
studyday: Day of Study (1 to 7) N Mean Std. Error of Mean Minimum Maximum
1 192 3.70 .055 2 5
2 195 3.76 .053 2 5
3 194 3.70 .054 2 5
4 197 3.70 .054 2 5
5 197 3.74 .052 2 5
6 196 3.70 .051 2 5
7 199 3.72 .053 2 5
Total 1370 3.72 .020 2 5


Ch 4: Saturated Means, Unstructured R-Only Model; Test for mean differences across days



Mixed Model Analysis


Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 7 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
studyday 7   6    
Repeated Effects studyday 7 Unstructured 28 PersonID 200
Total 15   35    
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 2008.002
Akaike's Information Criterion (AIC) 2064.002
Hurvich and Tsai's Criterion (AICC) 2065.220
Bozdogan's Criterion (CAIC) 2238.091
Schwarz's Bayesian Criterion (BIC) 2210.091
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 5 rows
Source Numerator df Denominator df F Sig.
Intercept 1 198.142 6699.960 .000
studyday 6 197.311 .775 .590
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 13 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 3.723298 .052829 198.227 70.478 .000 3.619120 3.827477
[studyday=1] .011488 .047897 198.631 .240 .811 -.082965 .105941
[studyday=2] .059469 .044149 199.762 1.347 .180 -.027590 .146527
[studyday=3] -.000835 .042667 197.289 -.020 .984 -.084977 .083307
[studyday=4] -.006768 .043328 198.916 -.156 .876 -.092210 .078674
[studyday=5] .034511 .041112 198.736 .839 .402 -.046561 .115582
[studyday=6] -.005750 .044170 198.219 -.130 .897 -.092853 .081354
[studyday=7] 0b 0 . . . . .
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
b. This parameter is set to zero because it is redundant.


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 32 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures UN (1,1) .595484 .061158 9.737 .000 .486910 .728268
UN (2,1) .450393 .052864 8.520 .000 .346781 .554005
UN (2,2) .564026 .057406 9.825 .000 .462023 .688548
UN (3,1) .409772 .051630 7.937 .000 .308579 .510964
UN (3,2) .398821 .050005 7.976 .000 .300814 .496828
UN (3,3) .577232 .058869 9.805 .000 .472652 .704952
UN (4,1) .415234 .051842 8.010 .000 .313626 .516843
UN (4,2) .428452 .051383 8.338 .000 .327743 .529162
UN (4,3) .412896 .051081 8.083 .000 .312780 .513013
UN (4,4) .588386 .059519 9.886 .000 .482566 .717409
UN (5,1) .397019 .049652 7.996 .000 .299702 .494336
UN (5,2) .408837 .049188 8.312 .000 .312429 .505244
UN (5,3) .414539 .049824 8.320 .000 .316886 .512192
UN (5,4) .424407 .050397 8.421 .000 .325630 .523183
UN (5,5) .541747 .054820 9.882 .000 .444287 .660587
UN (6,1) .359254 .047182 7.614 .000 .266778 .451730
UN (6,2) .354920 .046023 7.712 .000 .264717 .445122
UN (6,3) .352863 .046432 7.600 .000 .261857 .443868
UN (6,4) .413785 .049112 8.425 .000 .317527 .510043
UN (6,5) .363966 .045688 7.966 .000 .274420 .453513
UN (6,6) .511975 .051899 9.865 .000 .419723 .624503
UN (7,1) .351768 .048367 7.273 .000 .256971 .446565
UN (7,2) .368488 .047813 7.707 .000 .274776 .462199
UN (7,3) .388770 .049105 7.917 .000 .292526 .485014
UN (7,4) .386843 .049271 7.851 .000 .290274 .483412
UN (7,5) .382205 .047644 8.022 .000 .288825 .475585
UN (7,6) .341938 .045255 7.556 .000 .253239 .430636
UN (7,7) .557026 .056019 9.943 .000 .457374 .678389
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Residual Covariance (R) MatrixaResidual Covariance (R) Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 8 columns and 11 rows
  [studyday = 1] [studyday = 2] [studyday = 3] [studyday = 4] [studyday = 5] [studyday = 6] [studyday = 7]
[studyday = 1] .595484 .450393 .409772 .415234 .397019 .359254 .351768
[studyday = 2] .450393 .564026 .398821 .428452 .408837 .354920 .368488
[studyday = 3] .409772 .398821 .577232 .412896 .414539 .352863 .388770
[studyday = 4] .415234 .428452 .412896 .588386 .424407 .413785 .386843
[studyday = 5] .397019 .408837 .414539 .424407 .541747 .363966 .382205
[studyday = 6] .359254 .354920 .352863 .413785 .363966 .511975 .341938
[studyday = 7] .351768 .368488 .388770 .386843 .382205 .341938 .557026
Unstructured
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).


Estimated Marginal Means



studyday: Day of Study (1 to 7)


EstimatesaEstimates, table, 2 levels of column headers and 1 levels of row headers, table with 6 columns and 11 rows
studyday: Day of Study (1 to 7) Mean Std. Error df 95% Confidence Interval
Lower Bound Upper Bound
1 3.735 .055 193.163 3.626 3.843
2 3.783 .053 195.192 3.678 3.888
3 3.722 .054 194.973 3.616 3.829
4 3.717 .054 196.672 3.609 3.824
5 3.758 .052 196.582 3.655 3.861
6 3.718 .051 196.484 3.617 3.818
7 3.723 .053 198.227 3.619 3.827
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Pairwise ComparisonsaPairwise Comparisons, table, 2 levels of column headers and 2 levels of row headers, table with 8 columns and 48 rows
(I) studyday: Day of Study (1 to 7) (J) studyday: Day of Study (1 to 7) Mean Difference (I-J) Std. Error df Sig.b 95% Confidence Interval for Differenceb
Lower Bound Upper Bound
1 2 -.048 .037 193.539 .193 -.120 .025
3 .012 .043 195.542 .774 -.072 .097
4 .018 .043 197.233 .669 -.066 .102
5 -.023 .042 195.572 .585 -.106 .060
6 .017 .045 196.679 .701 -.071 .106
7 .011 .048 198.631 .811 -.083 .106
2 1 .048 .037 193.539 .193 -.025 .120
3 .060 .042 196.982 .153 -.023 .143
4 .066 .039 196.498 .090 -.010 .143
5 .025 .038 197.326 .516 -.051 .101
6 .065 .043 196.010 .133 -.020 .151
7 .059 .044 199.762 .180 -.028 .147
3 1 -.012 .043 195.542 .774 -.097 .072
2 -.060 .042 196.982 .153 -.143 .023
4 .006 .042 195.053 .887 -.076 .088
5 -.035 .039 197.052 .361 -.112 .041
6 .005 .044 194.939 .912 -.083 .092
7 -.001 .043 197.289 .984 -.085 .083
4 1 -.018 .043 197.233 .669 -.102 .066
2 -.066 .039 196.498 .090 -.143 .010
3 -.006 .042 195.053 .887 -.088 .076
5 -.041 .038 198.720 .277 -.116 .033
6 -.001 .037 195.378 .978 -.075 .073
7 -.007 .043 198.916 .876 -.092 .079
5 1 .023 .042 195.572 .585 -.060 .106
2 -.025 .038 197.326 .516 -.101 .051
3 .035 .039 197.052 .361 -.041 .112
4 .041 .038 198.720 .277 -.033 .116
6 .040 .041 197.373 .324 -.040 .121
7 .035 .041 198.736 .402 -.047 .116
6 1 -.017 .045 196.679 .701 -.106 .071
2 -.065 .043 196.010 .133 -.151 .020
3 -.005 .044 194.939 .912 -.092 .083
4 .001 .037 195.378 .978 -.073 .075
5 -.040 .041 197.373 .324 -.121 .040
7 -.006 .044 198.219 .897 -.093 .081
7 1 -.011 .048 198.631 .811 -.106 .083
2 -.059 .044 199.762 .180 -.147 .028
3 .001 .043 197.289 .984 -.083 .085
4 .007 .043 198.916 .876 -.079 .092
5 -.035 .041 198.736 .402 -.116 .047
6 .006 .044 198.219 .897 -.081 .093
Based on estimated marginal means
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
b. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).
Univariate TestsaUnivariate Tests, table, 1 levels of column headers and 0 levels of row headers, table with 4 columns and 5 rows
Numerator df Denominator df F Sig.
6 196.831 .775 .590
The F tests the effect of studyday: Day of Study (1 to 7). This test is based on the linearly independent pairwise comparisons among the estimated marginal means.
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).


Ch 4: Empty Means, Unstructured R-Only Model; Best-fitting and least parsimonious baseline



Mixed Model Analysis


WarningsWarnings, table, 0 levels of column headers and 0 levels of row headers, table with 1 columns and 2 rows
A(n) FIXED subcommand has no specifications and will therefore be ignored.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 6 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Repeated Effects studyday 7 Unstructured 28 PersonID 200
Total 8   29    
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 1983.107
Akaike's Information Criterion (AIC) 2039.107
Hurvich and Tsai's Criterion (AICC) 2040.319
Bozdogan's Criterion (CAIC) 2213.318
Schwarz's Bayesian Criterion (BIC) 2185.318
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 1 198.168 6898.361 .000
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 3.735287 .044973 198.168 83.056 .000 3.646600 3.823974
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 32 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures UN (1,1) .595351 .061031 9.755 .000 .486984 .727833
UN (2,1) .449508 .052784 8.516 .000 .346054 .552962
UN (2,2) .563171 .057392 9.813 .000 .461207 .687677
UN (3,1) .410741 .051600 7.960 .000 .309607 .511875
UN (3,2) .397483 .049918 7.963 .000 .299645 .495320
UN (3,3) .577464 .058814 9.818 .000 .472966 .705049
UN (4,1) .415834 .051799 8.028 .000 .314310 .517357
UN (4,2) .426511 .051244 8.323 .000 .326076 .526947
UN (4,3) .413916 .051091 8.102 .000 .313779 .514052
UN (4,4) .588493 .059469 9.896 .000 .482753 .717394
UN (5,1) .396998 .049575 8.008 .000 .299833 .494163
UN (5,2) .408276 .049180 8.302 .000 .311885 .504667
UN (5,3) .414092 .049739 8.325 .000 .316606 .511579
UN (5,4) .423661 .050288 8.425 .000 .325098 .522225
UN (5,5) .540684 .054673 9.889 .000 .443478 .659197
UN (6,1) .360047 .047165 7.634 .000 .267606 .452489
UN (6,2) .353441 .045940 7.693 .000 .263399 .443482
UN (6,3) .354028 .046463 7.620 .000 .262963 .445093
UN (6,4) .414643 .049132 8.439 .000 .318346 .510940
UN (6,5) .363624 .045622 7.970 .000 .274207 .453040
UN (6,6) .512127 .051877 9.872 .000 .419908 .624600
UN (7,1) .352583 .048322 7.296 .000 .257873 .447293
UN (7,2) .367158 .047713 7.695 .000 .273643 .460673
UN (7,3) .389552 .049088 7.936 .000 .293342 .485762
UN (7,4) .387645 .049261 7.869 .000 .291094 .484195
UN (7,5) .381759 .047547 8.029 .000 .288568 .474949
UN (7,6) .342767 .045268 7.572 .000 .254042 .431491
UN (7,7) .556529 .055914 9.953 .000 .457054 .677653
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Residual Covariance (R) MatrixaResidual Covariance (R) Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 8 columns and 11 rows
  [studyday = 1] [studyday = 2] [studyday = 3] [studyday = 4] [studyday = 5] [studyday = 6] [studyday = 7]
[studyday = 1] .595351 .449508 .410741 .415834 .396998 .360047 .352583
[studyday = 2] .449508 .563171 .397483 .426511 .408276 .353441 .367158
[studyday = 3] .410741 .397483 .577464 .413916 .414092 .354028 .389552
[studyday = 4] .415834 .426511 .413916 .588493 .423661 .414643 .387645
[studyday = 5] .396998 .408276 .414092 .423661 .540684 .363624 .381759
[studyday = 6] .360047 .353441 .354028 .414643 .363624 .512127 .342767
[studyday = 7] .352583 .367158 .389552 .387645 .381759 .342767 .556529
Unstructured
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).


Ch 4: Empty Means, Compound Symmetry R-Only Model; Worst-fitting and most parsimonious baseline



Mixed Model Analysis


WarningsWarnings, table, 0 levels of column headers and 0 levels of row headers, table with 1 columns and 2 rows
A(n) FIXED subcommand has no specifications and will therefore be ignored.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 6 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Repeated Effects studyday 7 Compound Symmetry 2 PersonID 200
Total 8   3    
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 2029.201
Akaike's Information Criterion (AIC) 2033.201
Hurvich and Tsai's Criterion (AICC) 2033.210
Bozdogan's Criterion (CAIC) 2045.645
Schwarz's Bayesian Criterion (BIC) 2043.645
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 1 198.204 6724.024 .000
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 3.735623 .045556 198.204 82.000 .000 3.645786 3.825461
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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
Repeated Measures CS diagonal offset .170424 .007049 24.179 .000 .157155 .184815
CS covariance .389999 .041708 9.351 .000 .308253 .471745
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Residual Covariance (R) MatrixaResidual Covariance (R) Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 8 columns and 11 rows
  [studyday = 1] [studyday = 2] [studyday = 3] [studyday = 4] [studyday = 5] [studyday = 6] [studyday = 7]
[studyday = 1] .560423 .389999 .389999 .389999 .389999 .389999 .389999
[studyday = 2] .389999 .560423 .389999 .389999 .389999 .389999 .389999
[studyday = 3] .389999 .389999 .560423 .389999 .389999 .389999 .389999
[studyday = 4] .389999 .389999 .389999 .560423 .389999 .389999 .389999
[studyday = 5] .389999 .389999 .389999 .389999 .560423 .389999 .389999
[studyday = 6] .389999 .389999 .389999 .389999 .389999 .560423 .389999
[studyday = 7] .389999 .389999 .389999 .389999 .389999 .389999 .560423
Compound Symmetry
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).


Ch 4: Empty Means, Compound Symmetry Heterogeneous R-Only Model



Mixed Model Analysis


WarningsWarnings, table, 0 levels of column headers and 0 levels of row headers, table with 1 columns and 2 rows
A(n) FIXED subcommand has no specifications and will therefore be ignored.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 6 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Repeated Effects studyday 7 Heterogeneous Compound Symmetry 8 PersonID 200
Total 8   9    
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 2026.100
Akaike's Information Criterion (AIC) 2042.100
Hurvich and Tsai's Criterion (AICC) 2042.206
Bozdogan's Criterion (CAIC) 2091.874
Schwarz's Bayesian Criterion (BIC) 2083.874
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 1 210.017 6801.072 .000
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 3.738687 .045335 210.017 82.469 .000 3.649318 3.828056
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 12 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Var: [studyday=1] .597394 .059081 10.111 .000 .492129 .725176
Var: [studyday=2] .550389 .053716 10.246 .000 .454565 .666412
Var: [studyday=3] .576621 .056841 10.145 .000 .475317 .699517
Var: [studyday=4] .568183 .055223 10.289 .000 .469633 .687414
Var: [studyday=5] .523408 .050899 10.283 .000 .432579 .633309
Var: [studyday=6] .526319 .051916 10.138 .000 .433797 .638574
Var: [studyday=7] .583450 .057664 10.118 .000 .480703 .708159
CSH rho .696546 .023981 29.046 .000 .646500 .740623
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Residual Covariance (R) MatrixaResidual Covariance (R) Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 8 columns and 11 rows
  [studyday = 1] [studyday = 2] [studyday = 3] [studyday = 4] [studyday = 5] [studyday = 6] [studyday = 7]
[studyday = 1] .597394 .399406 .408814 .405812 .389494 .390575 .411227
[studyday = 2] .399406 .550389 .392401 .389519 .373856 .374894 .394717
[studyday = 3] .408814 .392401 .576621 .398694 .382662 .383724 .404014
[studyday = 4] .405812 .389519 .398694 .568183 .379852 .380906 .401047
[studyday = 5] .389494 .373856 .382662 .379852 .523408 .365590 .384921
[studyday = 6] .390575 .374894 .383724 .380906 .365590 .526319 .385990
[studyday = 7] .411227 .394717 .404014 .401047 .384921 .385990 .583450
Heterogeneous Compound Symmetry
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).


Ch 4: Empty Means, First-Order Auto-Regressive R-Only Model



Mixed Model Analysis


WarningsWarnings, table, 0 levels of column headers and 0 levels of row headers, table with 1 columns and 2 rows
A(n) FIXED subcommand has no specifications and will therefore be ignored.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 6 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Repeated Effects studyday 7 First-Order Autoregressive 2 PersonID 200
Total 8   3    
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 2279.792
Akaike's Information Criterion (AIC) 2283.792
Hurvich and Tsai's Criterion (AICC) 2283.801
Bozdogan's Criterion (CAIC) 2296.236
Schwarz's Bayesian Criterion (BIC) 2294.236
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 1 246.445 9870.826 .000
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 3.731198 .037555 246.445 99.352 .000 3.657228 3.805168
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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
Repeated Measures AR1 diagonal .562713 .033148 16.976 .000 .501354 .631582
AR1 rho .712948 .018164 39.252 .000 .675479 .746744
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Residual Covariance (R) MatrixaResidual Covariance (R) Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 8 columns and 11 rows
  [studyday = 1] [studyday = 2] [studyday = 3] [studyday = 4] [studyday = 5] [studyday = 6] [studyday = 7]
[studyday = 1] .562713 .401185 .286024 .203920 .145384 .103652 .073898
[studyday = 2] .401185 .562713 .401185 .286024 .203920 .145384 .103652
[studyday = 3] .286024 .401185 .562713 .401185 .286024 .203920 .145384
[studyday = 4] .203920 .286024 .401185 .562713 .401185 .286024 .203920
[studyday = 5] .145384 .203920 .286024 .401185 .562713 .401185 .286024
[studyday = 6] .103652 .145384 .203920 .286024 .401185 .562713 .401185
[studyday = 7] .073898 .103652 .145384 .203920 .286024 .401185 .562713
First-Order Autoregressive
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).


Ch 4: Empty Means, First-Order Auto-Regressive Heterogeneous R-Only Model



Mixed Model Analysis


WarningsWarnings, table, 0 levels of column headers and 0 levels of row headers, table with 1 columns and 2 rows
A(n) FIXED subcommand has no specifications and will therefore be ignored.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 6 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Repeated Effects studyday 7 Heterogeneous First-Order Autoregressive 8 PersonID 200
Total 8   9    
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 2277.708
Akaike's Information Criterion (AIC) 2293.708
Hurvich and Tsai's Criterion (AICC) 2293.814
Bozdogan's Criterion (CAIC) 2343.483
Schwarz's Bayesian Criterion (BIC) 2335.483
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 1 246.863 9898.548 .000
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 3.734817 .037539 246.863 99.491 .000 3.660879 3.808755
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 12 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Var: [studyday=1] .544040 .049942 10.894 .000 .454457 .651282
Var: [studyday=2] .531206 .047798 11.114 .000 .445319 .633657
Var: [studyday=3] .573141 .053115 10.791 .000 .477945 .687299
Var: [studyday=4] .567638 .052420 10.829 .000 .473659 .680264
Var: [studyday=5] .539322 .050169 10.750 .000 .449436 .647185
Var: [studyday=6] .557618 .052348 10.652 .000 .463904 .670264
Var: [studyday=7] .609190 .057832 10.534 .000 .505762 .733768
ARH1 rho .711550 .018673 38.105 .000 .672987 .746255
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Residual Covariance (R) MatrixaResidual Covariance (R) Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 8 columns and 11 rows
  [studyday = 1] [studyday = 2] [studyday = 3] [studyday = 4] [studyday = 5] [studyday = 6] [studyday = 7]
[studyday = 1] .544040 .382518 .282720 .200201 .138855 .100464 .074718
[studyday = 2] .382518 .531206 .392615 .278021 .192828 .139515 .103761
[studyday = 3] .282720 .392615 .573141 .405856 .281492 .203664 .151470
[studyday = 4] .200201 .278021 .405856 .567638 .393700 .284849 .211850
[studyday = 5] .138855 .192828 .281492 .393700 .539322 .390210 .290209
[studyday = 6] .100464 .139515 .203664 .284849 .390210 .557618 .414715
[studyday = 7] .074718 .103761 .151470 .211850 .290209 .414715 .609190
Heterogeneous First-Order Autoregressive
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).


Ch 4: Empty Means, n-1 Lag Toeplitz R-Only Model



Mixed Model Analysis


WarningsWarnings, table, 0 levels of column headers and 0 levels of row headers, table with 1 columns and 2 rows
A(n) FIXED subcommand has no specifications and will therefore be ignored.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 6 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Repeated Effects studyday 7 Toeplitz 7 PersonID 200
Total 8   8    
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 2009.906
Akaike's Information Criterion (AIC) 2023.906
Hurvich and Tsai's Criterion (AICC) 2023.988
Bozdogan's Criterion (CAIC) 2067.459
Schwarz's Bayesian Criterion (BIC) 2060.459
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 1 198.128 6736.076 .000
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 3.735746 .045517 198.128 82.074 .000 3.645986 3.825506
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 11 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures TP diagonal .560911 .042101 13.323 .000 .484178 .649805
TP rho 1 .710574 .024737 28.726 .000 .658643 .755767
TP rho 2 .724270 .023516 30.798 .000 .674864 .767211
TP rho 3 .686517 .026938 25.485 .000 .630034 .735775
TP rho 4 .681570 .028585 23.844 .000 .621479 .733688
TP rho 5 .661264 .032459 20.372 .000 .592820 .720224
TP rho 6 .619893 .040468 15.318 .000 .534208 .692970
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Residual Covariance (R) MatrixaResidual Covariance (R) Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 8 columns and 11 rows
  [studyday = 1] [studyday = 2] [studyday = 3] [studyday = 4] [studyday = 5] [studyday = 6] [studyday = 7]
[studyday = 1] .560911 .398569 .406251 .385075 .382300 .370910 .347705
[studyday = 2] .398569 .560911 .398569 .406251 .385075 .382300 .370910
[studyday = 3] .406251 .398569 .560911 .398569 .406251 .385075 .382300
[studyday = 4] .385075 .406251 .398569 .560911 .398569 .406251 .385075
[studyday = 5] .382300 .385075 .406251 .398569 .560911 .398569 .406251
[studyday = 6] .370910 .382300 .385075 .406251 .398569 .560911 .398569
[studyday = 7] .347705 .370910 .382300 .385075 .406251 .398569 .560911
Toeplitz
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).


Ch 4: Empty Means, n-1 Lag Toeplitz Heterogeneous R-Only Model



Mixed Model Analysis


WarningsWarnings, table, 0 levels of column headers and 0 levels of row headers, table with 1 columns and 2 rows
A(n) FIXED subcommand has no specifications and will therefore be ignored.
Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 6 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Repeated Effects studyday 7 Heterogeneous Toeplitz 13 PersonID 200
Total 8   14    
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 2007.559
Akaike's Information Criterion (AIC) 2033.559
Hurvich and Tsai's Criterion (AICC) 2033.828
Bozdogan's Criterion (CAIC) 2114.443
Schwarz's Bayesian Criterion (BIC) 2101.443
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 1 199.362 6806.776 .000
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 3.739967 .045331 199.362 82.503 .000 3.650576 3.829357
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 17 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Var: [studyday=1] .580259 .059286 9.787 .000 .474956 .708910
Var: [studyday=2] .544048 .053648 10.141 .000 .448437 .660044
Var: [studyday=3] .582008 .057055 10.201 .000 .480268 .705299
Var: [studyday=4] .573431 .056601 10.131 .000 .472566 .695824
Var: [studyday=5] .536114 .053197 10.078 .000 .441363 .651206
Var: [studyday=6] .525395 .052547 9.999 .000 .431870 .639173
Var: [studyday=7] .578610 .057350 10.089 .000 .476451 .702674
TPH rho 1 .709576 .024723 28.701 .000 .657692 .754759
TPH rho 2 .724572 .023627 30.667 .000 .674913 .767697
TPH rho 3 .686505 .026812 25.605 .000 .630305 .735548
TPH rho 4 .680941 .028589 23.818 .000 .620851 .733076
TPH rho 5 .661101 .032372 20.422 .000 .592857 .719918
TPH rho 6 .619664 .041254 15.021 .000 .532195 .694045
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Residual Covariance (R) MatrixaResidual Covariance (R) Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 8 columns and 11 rows
  [studyday = 1] [studyday = 2] [studyday = 3] [studyday = 4] [studyday = 5] [studyday = 6] [studyday = 7]
[studyday = 1] .580259 .398684 .421073 .396000 .379795 .365025 .359055
[studyday = 2] .398684 .544048 .399284 .404707 .370759 .364058 .370920
[studyday = 3] .421073 .399284 .582008 .409924 .404738 .379622 .395155
[studyday = 4] .396000 .404707 .409924 .573431 .393431 .397709 .395437
[studyday = 5] .379795 .370759 .404738 .393431 .536114 .376591 .403555
[studyday = 6] .365025 .364058 .379622 .397709 .376591 .525395 .391232
[studyday = 7] .359055 .370920 .395155 .395437 .403555 .391232 .578610
Heterogeneous Toeplitz
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).


Ch 4: Empty Means, Random Intercept in G; Diagonal R



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 7 columns and 7 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Random Effects Intercept 1 Identity 1 PersonID  
Repeated Effects studyday 7 Identity 1 PersonID 200
Total 9   3    
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 2029.201
Akaike's Information Criterion (AIC) 2033.201
Hurvich and Tsai's Criterion (AICC) 2033.210
Bozdogan's Criterion (CAIC) 2045.645
Schwarz's Bayesian Criterion (BIC) 2043.645
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 1 198.204 6724.024 .000
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 3.735623 .045556 198.204 82.000 .000 3.645786 3.825461
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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
Repeated Measures Variance .170424 .007049 24.179 .000 .157155 .184815
Intercept [subject = PersonID] Variance .389999 .041708 9.351 .000 .316252 .480944
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 2 columns and 5 rows
  Intercept | PersonID
Intercept | PersonID .389999
Identity
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Residual Covariance (R) MatrixaResidual Covariance (R) Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 8 columns and 11 rows
  [studyday = 1] [studyday = 2] [studyday = 3] [studyday = 4] [studyday = 5] [studyday = 6] [studyday = 7]
[studyday = 1] .170424 0 0 0 0 0 0
[studyday = 2] 0 .170424 0 0 0 0 0
[studyday = 3] 0 0 .170424 0 0 0 0
[studyday = 4] 0 0 0 .170424 0 0 0
[studyday = 5] 0 0 0 0 .170424 0 0
[studyday = 6] 0 0 0 0 0 .170424 0
[studyday = 7] 0 0 0 0 0 0 .170424
Identity
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).


Ch 4: Empty Means, Random Intercept in G; Diagonal Heterogeneous R



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 7 columns and 7 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Random Effects Intercept 1 Identity 1 PersonID  
Repeated Effects studyday 7 Diagonal 7 PersonID 200
Total 9   9    
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 2018.707
Akaike's Information Criterion (AIC) 2034.707
Hurvich and Tsai's Criterion (AICC) 2034.813
Bozdogan's Criterion (CAIC) 2084.482
Schwarz's Bayesian Criterion (BIC) 2076.482
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 1 197.894 6680.227 .000
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 3.737317 .045726 197.894 81.733 .000 3.647144 3.827490
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 12 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Var: [studyday=1] .188644 .022010 8.571 .000 .150082 .237115
Var: [studyday=2] .152931 .018326 8.345 .000 .120918 .193419
Var: [studyday=3] .176175 .020603 8.551 .000 .140088 .221559
Var: [studyday=4] .147752 .017689 8.353 .000 .116850 .186826
Var: [studyday=5] .135381 .016448 8.231 .000 .106694 .171781
Var: [studyday=6] .178599 .020826 8.576 .000 .142109 .224459
Var: [studyday=7] .211586 .023825 8.881 .000 .169683 .263835
Intercept [subject = PersonID] Variance .393644 .042057 9.360 .000 .319272 .485340
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 2 columns and 5 rows
  Intercept | PersonID
Intercept | PersonID .393644
Identity
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Residual Covariance (R) MatrixaResidual Covariance (R) Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 8 columns and 11 rows
  [studyday = 1] [studyday = 2] [studyday = 3] [studyday = 4] [studyday = 5] [studyday = 6] [studyday = 7]
[studyday = 1] .188644 0 0 0 0 0 0
[studyday = 2] 0 .152931 0 0 0 0 0
[studyday = 3] 0 0 .176175 0 0 0 0
[studyday = 4] 0 0 0 .147752 0 0 0
[studyday = 5] 0 0 0 0 .135381 0 0
[studyday = 6] 0 0 0 0 0 .178599 0
[studyday = 7] 0 0 0 0 0 0 .211586
Diagonal
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).


Ch 4: Empty Means, Random Intercept in G; First-Order Autoregressive R



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 7 columns and 7 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Random Effects Intercept 1 Identity 1 PersonID  
Repeated Effects studyday 7 First-Order Autoregressive 2 PersonID 200
Total 9   4    
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 2027.422
Akaike's Information Criterion (AIC) 2033.422
Hurvich and Tsai's Criterion (AICC) 2033.439
Bozdogan's Criterion (CAIC) 2052.087
Schwarz's Bayesian Criterion (BIC) 2049.087
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 1 198.192 6723.347 .000
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 3.735589 .045558 198.192 81.996 .000 3.645748 3.825430
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 7 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures AR1 diagonal .172969 .007558 22.886 .000 .158773 .188435
AR1 rho .049051 .037082 1.323 .186 -.023760 .121345
Intercept [subject = PersonID] Variance .387508 .041765 9.278 .000 .313717 .478655
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 2 columns and 5 rows
  Intercept | PersonID
Intercept | PersonID .387508
Identity
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Residual Covariance (R) MatrixaResidual Covariance (R) Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 8 columns and 11 rows
  [studyday = 1] [studyday = 2] [studyday = 3] [studyday = 4] [studyday = 5] [studyday = 6] [studyday = 7]
[studyday = 1] .172969 .008484 .000416 2.041321E-5 1.001287E-6 4.911411E-8 2.409094E-9
[studyday = 2] .008484 .172969 .008484 .000416 2.041321E-5 1.001287E-6 4.911411E-8
[studyday = 3] .000416 .008484 .172969 .008484 .000416 2.041321E-5 1.001287E-6
[studyday = 4] 2.041321E-5 .000416 .008484 .172969 .008484 .000416 2.041321E-5
[studyday = 5] 1.001287E-6 2.041321E-5 .000416 .008484 .172969 .008484 .000416
[studyday = 6] 4.911411E-8 1.001287E-6 2.041321E-5 .000416 .008484 .172969 .008484
[studyday = 7] 2.409094E-9 4.911411E-8 1.001287E-6 2.041321E-5 .000416 .008484 .172969
First-Order Autoregressive
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).


Ch 4: Empty Means, Random Intercept in G; First-Order Autoregressive Heterogeneous R



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 7 columns and 7 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Random Effects Intercept 1 Identity 1 PersonID  
Repeated Effects studyday 7 Heterogeneous First-Order Autoregressive 8 PersonID 200
Total 9   10    
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Information CriteriaaInformation Criteria, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 8 rows
-2 Restricted Log Likelihood 2017.900
Akaike's Information Criterion (AIC) 2035.900
Hurvich and Tsai's Criterion (AICC) 2036.033
Bozdogan's Criterion (CAIC) 2091.897
Schwarz's Bayesian Criterion (BIC) 2082.897
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 1 197.881 6681.665 .000
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 3.737434 .045723 197.881 81.741 .000 3.647268 3.827601
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 13 rows
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Var: [studyday=1] .187263 .021925 8.541 .000 .148865 .235564
Var: [studyday=2] .153312 .018353 8.354 .000 .121250 .193853
Var: [studyday=3] .179479 .021341 8.410 .000 .142168 .226583
Var: [studyday=4] .150970 .018441 8.187 .000 .118827 .191807
Var: [studyday=5] .137957 .017025 8.103 .000 .108317 .175707
Var: [studyday=6] .181275 .021362 8.486 .000 .143890 .228373
Var: [studyday=7] .212007 .023959 8.849 .000 .169885 .264573
ARH1 rho .033028 .037050 .891 .373 -.039635 .105344
Intercept [subject = PersonID] Variance .391884 .042105 9.307 .000 .317471 .483740
a. Dependent Variable: posmood: Positive Mood Rating (1 to 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 2 columns and 5 rows
  Intercept | PersonID
Intercept | PersonID .391884
Identity
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).
Residual Covariance (R) MatrixaResidual Covariance (R) Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 8 columns and 11 rows
  [studyday = 1] [studyday = 2] [studyday = 3] [studyday = 4] [studyday = 5] [studyday = 6] [studyday = 7]
[studyday = 1] .187263 .005596 .000200 6.057763E-6 1.912580E-7 7.240980E-9 2.586334E-10
[studyday = 2] .005596 .153312 .005479 .000166 5.239643E-6 1.983716E-7 7.085437E-9
[studyday = 3] .000200 .005479 .179479 .005437 .000172 6.498564E-6 2.321158E-7
[studyday = 4] 6.057763E-6 .000166 .005437 .150970 .004766 .000180 6.445582E-6
[studyday = 5] 1.912580E-7 5.239643E-6 .000172 .004766 .137957 .005223 .000187
[studyday = 6] 7.240980E-9 1.983716E-7 6.498564E-6 .000180 .005223 .181275 .006475
[studyday = 7] 2.586334E-10 7.085437E-9 2.321158E-7 6.445582E-6 .000187 .006475 .212007
Heterogeneous First-Order Autoregressive
a. Dependent Variable: posmood: Positive Mood Rating (1 to 5).