Chapter 9: Descriptive Statistics for Time-Invariant Variables



Summarize


Case Processing SummaryCase Processing Summary, table, 3 levels of column headers and 1 levels of row headers, table with 7 columns and 7 rows
  Cases
Included Excluded Total
N Percent N Percent N Percent
Attitude12: Attitudes at Age 12 200 100.0% 0 0.0% 200 100.0%
PMmonitor: Person Mean Monitoring 200 100.0% 0 0.0% 200 100.0%
Monitor18: Monitoring at Age18 Occasion 200 100.0% 0 0.0% 200 100.0%
ReportReport, table, 1 levels of column headers and 1 levels of row headers, table with 4 columns and 7 rows
  Attitude12: Attitudes at Age 12 PMmonitor: Person Mean Monitoring Monitor18: Monitoring at Age18 Occasion
N 200 200 200
Mean 3.95 3.0754 3.07
Std. Deviation .602 .55261 .556
Minimum 2 1.15 1
Maximum 5 4.47 4


Correlations


CorrelationsCorrelations, table, 1 levels of column headers and 2 levels of row headers, table with 5 columns and 11 rows
  PMmonitor: Person Mean Monitoring Monitor12: Monitoring at Age12 Occasion Monitor18: Monitoring at Age18 Occasion
PMmonitor: Person Mean Monitoring Pearson Correlation 1 .914 .740
Sig. (2-tailed)   .000 .000
N 200 200 200
Monitor12: Monitoring at Age12 Occasion Pearson Correlation .914 1 .525
Sig. (2-tailed) .000   .000
N 200 200 200
Monitor18: Monitoring at Age18 Occasion Pearson Correlation .740 .525 1
Sig. (2-tailed) .000 .000  
N 200 200 200


Variables to Cases


Generated VariablesGenerated Variables, table, 1 levels of column headers and 0 levels of row headers, table with 2 columns and 6 rows
Name Label
wave <none>
age Age12: Exact Age at Age12 Occasion
risky Risky12: Risky Behavior at Age12 Occasion
monitor Monitor12: Monitoring at Age12 Occasion
Processing StatisticsProcessing Statistics, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 3 rows
Variables In 25
Variables Out 8


Chapter 9: Descriptive Statistics for Time-Varying Variables



Summarize



[Chapter9] C:\Dropbox\PilesOfVariance\Chapter9\SPSS\SPSS_Chapter9.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
age: Exact Age at Occasion 1400 100.0% 0 0.0% 1400 100.0%
risky: Risky Behavior at Occasion 1400 100.0% 0 0.0% 1400 100.0%
monitor: Monitoring at Occasion 1400 100.0% 0 0.0% 1400 100.0%
WPmon: Within-Person Monitoring (0=PM) 1400 100.0% 0 0.0% 1400 100.0%
Change18mon: WP Monitoring from Age 18 (0=Age18) 1400 100.0% 0 0.0% 1400 100.0%
ReportReport, table, 1 levels of column headers and 1 levels of row headers, table with 6 columns and 7 rows
  age: Exact Age at Occasion risky: Risky Behavior at Occasion monitor: Monitoring at Occasion WPmon: Within-Person Monitoring (0=PM) Change18mon: WP Monitoring from Age 18 (0=Age18)
N 1400 1400 1400 1400 1400
Mean 15.00 19.38 3.08 .0000 .0078
Std. Deviation 2.004 5.301 .645 .33376 .52008
Minimum 12 10 1 -1.14 -2.36
Maximum 18 36 5 1.23 1.71


Correlations


CorrelationsCorrelations, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 14 rows
  PMmon3: Person Mean Monitoring (0=3) Age18mon3: BP Monitoring at Age 18 (0=3) WPmon: Within-Person Monitoring (0=PM) Change18mon: WP Monitoring from Age 18 (0=Age18)
PMmon3: Person Mean Monitoring (0=3) Pearson Correlation 1 .740 .000 .271
Sig. (2-tailed)   .000 1.000 .000
N 1400 1400 1400 1400
Age18mon3: BP Monitoring at Age 18 (0=3) Pearson Correlation .740 1 .000 -.282
Sig. (2-tailed) .000   1.000 .000
N 1400 1400 1400 1400
WPmon: Within-Person Monitoring (0=PM) Pearson Correlation .000 .000 1 .642
Sig. (2-tailed) 1.000 1.000   .000
N 1400 1400 1400 1400
Change18mon: WP Monitoring from Age 18 (0=Age18) Pearson Correlation .271 -.282 .642 1
Sig. (2-tailed) .000 .000 .000  
N 1400 1400 1400 1400


Ch 9: Empty Means, Random Intercept Model for Monitoring



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: monitor: Monitoring at Occasion.
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 1674.488
Akaike's Information Criterion (AIC) 1680.488
Hurvich and Tsai's Criterion (AICC) 1680.505
Bozdogan's Criterion (CAIC) 1699.220
Schwarz's Bayesian Criterion (BIC) 1696.220
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: monitor: Monitoring at Occasion.


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 1 200.000 6225.606 .000
a. Dependent Variable: monitor: Monitoring at Occasion.
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 3.075439 .038978 200.000 78.903 .000 2.998579 3.152299
a. Dependent Variable: monitor: Monitoring at Occasion.


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 .129868 .005302 24.495 .000 .119882 .140687
Intercept [subject = PersonID] Variance .285300 .030395 9.387 .000 .231536 .351548
a. Dependent Variable: monitor: Monitoring at Occasion.


Ch 9: Fixed Linear Age, Random Intercept Model for Monitoring



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 8 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
agec18 1   1  
Random Effects Intercept 1 Identity 1 PersonID
Residual     1  
Total 3   4  
a. Dependent Variable: monitor: Monitoring at Occasion.
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 1674.037
Akaike's Information Criterion (AIC) 1682.037
Hurvich and Tsai's Criterion (AICC) 1682.065
Bozdogan's Criterion (CAIC) 1707.014
Schwarz's Bayesian Criterion (BIC) 1703.014
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: monitor: Monitoring at Occasion.


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 1 257.712 5441.876 .000
agec18 1 1200.171 .451 .502
a. Dependent Variable: monitor: Monitoring at Occasion.
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 6 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 3.065756 .041559 257.712 73.769 .000 2.983918 3.147594
agec18 -.003229 .004809 1200.171 -.671 .502 -.012664 .006206
a. Dependent Variable: monitor: Monitoring at Occasion.


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 .129822 .005300 24.495 .000 .119839 .140636
Intercept [subject = PersonID] Variance .285279 .030392 9.387 .000 .231520 .351521
a. Dependent Variable: monitor: Monitoring at Occasion.


Ch 9: Random Linear Age Model for Monitoring



Mixed Model Analysis


Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 6 columns and 9 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
agec18 1   1  
Random Effects Intercept + agec18b 2 Unstructured 3 PersonID
Residual     1  
Total 4   6  
a. Dependent Variable: monitor: Monitoring at Occasion.
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 1353.752
Akaike's Information Criterion (AIC) 1365.752
Hurvich and Tsai's Criterion (AICC) 1365.813
Bozdogan's Criterion (CAIC) 1403.218
Schwarz's Bayesian Criterion (BIC) 1397.218
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: monitor: Monitoring at Occasion.


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 1 200.360 8065.736 .000
agec18 1 199.810 .163 .687
a. Dependent Variable: monitor: Monitoring at Occasion.
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 6 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 3.065015 .034128 200.360 89.809 .000 2.997719 3.132312
agec18 -.003306 .008179 199.810 -.404 .687 -.019435 .012823
a. Dependent Variable: monitor: Monitoring at Occasion.


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 .080751 .003612 22.358 .000 .073973 .088149
Intercept + agec18 [subject = PersonID] UN (1,1) .195444 .023332 8.377 .000 .154670 .246965
UN (2,1) -.000423 .004008 -.106 .916 -.008279 .007433
UN (2,2) .010494 .001345 7.804 .000 .008164 .013490
a. Dependent Variable: monitor: Monitoring at Occasion.


Ch 9: Fixed Quadratic, Random Linear Age Model for Monitoring



Mixed Model Analysis


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  
agec18 1   1  
agec18 * agec18 1   1  
Random Effects Intercept + agec18b 2 Unstructured 3 PersonID
Residual     1  
Total 5   7  
a. Dependent Variable: monitor: Monitoring at Occasion.
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 1353.732
Akaike's Information Criterion (AIC) 1367.732
Hurvich and Tsai's Criterion (AICC) 1367.813
Bozdogan's Criterion (CAIC) 1411.442
Schwarz's Bayesian Criterion (BIC) 1404.442
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: monitor: Monitoring at Occasion.


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 6 rows
Source Numerator df Denominator df F Sig.
Intercept 1 241.724 7326.493 .000
agec18 1 1089.276 .112 .738
agec18 * agec18 1 1007.528 .020 .888
a. Dependent Variable: monitor: Monitoring at Occasion.
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 7 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 3.063499 .035791 241.724 85.595 .000 2.992998 3.134001
agec18 -.005129 .015329 1089.276 -.335 .738 -.035207 .024949
agec18 * agec18 -.000304 .002161 1007.528 -.141 .888 -.004545 .003937
a. Dependent Variable: monitor: Monitoring at Occasion.


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 .080749 .003612 22.358 .000 .073971 .088147
Intercept + agec18 [subject = PersonID] UN (1,1) .195445 .023332 8.377 .000 .154672 .246967
UN (2,1) -.000424 .004008 -.106 .916 -.008280 .007431
UN (2,2) .010495 .001345 7.804 .000 .008164 .013491
a. Dependent Variable: monitor: Monitoring at Occasion.


Ch 9: Random Quadratic Age Model for Monitoring



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 10 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
agec18 1   1  
agec18 * agec18 1   1  
Random Effects Intercept + agec18 + agec18 * agec18b 3 Unstructured 6 PersonID
Residual     1  
Total 6   10  
a. Dependent Variable: monitor: Monitoring at Occasion.
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 1348.362
Akaike's Information Criterion (AIC) 1368.362
Hurvich and Tsai's Criterion (AICC) 1368.520
Bozdogan's Criterion (CAIC) 1430.804
Schwarz's Bayesian Criterion (BIC) 1420.804
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: monitor: Monitoring at Occasion.


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 6 rows
Source Numerator df Denominator df F Sig.
Intercept 1 199.977 6690.928 .000
agec18 1 194.053 .147 .702
agec18 * agec18 1 177.786 .045 .833
a. Dependent Variable: monitor: Monitoring at Occasion.
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 7 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 3.062680 .037442 199.977 81.798 .000 2.988848 3.136512
agec18 -.006013 .015681 194.053 -.383 .702 -.036941 .024915
agec18 * agec18 -.000464 .002192 177.786 -.211 .833 -.004790 .003863
a. Dependent Variable: monitor: Monitoring at Occasion.


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
Residual .080407 .003991 20.148 .000 .072953 .088621
Intercept + agec18 + agec18 * agec18 [subject = PersonID] UN (1,1) .219792 .028168 7.803 .000 .170971 .282554
UN (2,1) .015387 .009306 1.654 .098 -.002852 .033627
UN (2,2) .012790 .005226 2.447 .014 .005742 .028489
UN (3,1) .002561 .001311 1.954 .051 -7.929404E-6 .005130
UN (3,2) .000263 .000699 .377 .706 -.001107 .001633
UN (3,3) 3.045688E-5 .000109 .279 .781 2.681791E-8 .034590
a. Dependent Variable: monitor: Monitoring at Occasion.


Ch 9: Fixed Quadratic, Random Linear Age Model for Risky Behavior; Conditional Baseline with Attitudes Predicting Linear Age Slope



Mixed Model Analysis


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  
agec18 1   1  
agec18 * agec18 1   1  
att4 1   1  
agec18 * att4 1   1  
Random Effects Intercept + agec18b 2 Unstructured 3 PersonID
Residual     1  
Total 7   9  
a. Dependent Variable: risky: Risky Behavior at Occasion.
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 7602.533
Akaike's Information Criterion (AIC) 7620.533
Hurvich and Tsai's Criterion (AICC) 7620.662
Bozdogan's Criterion (CAIC) 7676.731
Schwarz's Bayesian Criterion (BIC) 7667.731
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: risky: Risky Behavior at Occasion.


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 1 244.616 4435.039 .000
agec18 1 1196.436 181.092 .000
agec18 * agec18 1 1010.593 43.615 .000
att4 1 199.568 32.763 .000
agec18 * att4 1 199.244 24.422 .000
a. Dependent Variable: risky: Risky Behavior at Occasion.
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 23.312011 .350051 244.616 66.596 .000 22.622513 24.001509
agec18 1.964886 .146012 1196.436 13.457 .000 1.678419 2.251353
agec18 * agec18 .145047 .021963 1010.593 6.604 .000 .101949 .188146
att4 -3.155502 .551288 199.568 -5.724 .000 -4.242599 -2.068405
agec18 * att4 -.515426 .104298 199.244 -4.942 .000 -.721095 -.309757
a. Dependent Variable: risky: Risky Behavior at Occasion.


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 8.352886 .373583 22.359 .000 7.651851 9.118147
Intercept + agec18 [subject = PersonID] UN (1,1) 18.080944 2.204651 8.201 .000 14.237449 22.962017
UN (2,1) 1.884824 .356473 5.287 .000 1.186150 2.583497
UN (2,2) .488095 .079814 6.115 .000 .354255 .672502
a. Dependent Variable: risky: Risky Behavior at Occasion.


Eq 9.1: Predicting Quadratic Change in Risky Behavior; From Person Mean Monitoring as Between-Person Monitoring



Mixed Model Analysis


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  
agec18 1   1  
agec18 * agec18 1   1  
att4 1   1  
agec18 * att4 1   1  
PMmon3 1   1  
agec18 * PMmon3 1   1  
agec18 * agec18 * PMmon3 1   1  
Random Effects Intercept + agec18b 2 Unstructured 3 PersonID
Residual     1  
Total 10   12  
a. Dependent Variable: risky: Risky Behavior at Occasion.
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 7559.552
Akaike's Information Criterion (AIC) 7583.552
Hurvich and Tsai's Criterion (AICC) 7583.777
Bozdogan's Criterion (CAIC) 7658.483
Schwarz's Bayesian Criterion (BIC) 7646.483
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: risky: Risky Behavior at Occasion.


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 1 251.658 5030.938 .000
agec18 1 1197.297 171.365 .000
agec18 * agec18 1 1010.993 37.751 .000
att4 1 199.433 41.677 .000
agec18 * att4 1 199.111 25.486 .000
PMmon3 1 247.908 19.122 .000
agec18 * PMmon3 1 1196.257 2.894 .089
agec18 * agec18 * PMmon3 1 1008.938 6.882 .009
a. Dependent Variable: risky: Risky Behavior at Occasion.
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 23.494465 .331239 251.658 70.929 .000 22.842112 24.146818
agec18 1.925601 .147098 1197.297 13.091 .000 1.637003 2.214198
agec18 * agec18 .136220 .022171 1010.993 6.144 .000 .092714 .179725
att4 -3.319510 .514191 199.433 -6.456 .000 -4.333459 -2.305560
agec18 * att4 -.523790 .103754 199.111 -5.048 .000 -.728388 -.319191
PMmon3 -2.590697 .592450 247.908 -4.373 .000 -3.757575 -1.423819
agec18 * PMmon3 .445448 .261825 1196.257 1.701 .089 -.068240 .959136
agec18 * agec18 * PMmon3 .103709 .039533 1008.938 2.623 .009 .026132 .181286
a. Dependent Variable: risky: Risky Behavior at Occasion.


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 8.299339 .371174 22.360 .000 7.602824 9.059663
Intercept + agec18 [subject = PersonID] UN (1,1) 15.187091 1.913954 7.935 .000 11.863201 19.442285
UN (2,1) 1.722829 .331757 5.193 .000 1.072597 2.373061
UN (2,2) .479356 .078759 6.086 .000 .347380 .661472
a. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 1 (Effect of PM Monitoring at Age 12)


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 -1.529864 .544936 263.938 0 -2.807 .005 -2.602839 -.456890
a. Effect of PM Monitoring at Age 12
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 2 (Effect of PM Monitoring at Age 14)


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 -2.713146 .434265 233.728 0 -6.248 .000 -3.568719 -1.857573
a. Effect of PM Monitoring at Age 14
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 3 (Effect of PM Monitoring at Age 16)


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 -3.066757 .455904 231.422 0 -6.727 .000 -3.965011 -2.168503
a. Effect of PM Monitoring at Age 16
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 4 (Effect of PM Monitoring at Age 18)


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 -2.590697 .592450 247.908 0 -4.373 .000 -3.757575 -1.423819
a. Effect of PM Monitoring at Age 18
b. Dependent Variable: risky: Risky Behavior at Occasion.


Correlations


CorrelationsCorrelations, table, 1 levels of column headers and 2 levels of row headers, table with 4 columns and 8 rows
  risky: Risky Behavior at Occasion Fixed Predicted Values
risky: Risky Behavior at Occasion Pearson Correlation 1 .557
Sig. (2-tailed)   .000
N 1400 1400
Fixed Predicted Values Pearson Correlation .557 1
Sig. (2-tailed) .000  
N 1400 1400


Eq 9.1: Predicting Quadratic Change in Risky Behavior; From Monitoring at Age 18 as Between-Person Monitoring



Mixed Model Analysis


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  
agec18 1   1  
agec18 * agec18 1   1  
att4 1   1  
agec18 * att4 1   1  
Age18mon3 1   1  
agec18 * Age18mon3 1   1  
agec18 * agec18 * Age18mon3 1   1  
Random Effects Intercept + agec18b 2 Unstructured 3 PersonID
Residual     1  
Total 10   12  
a. Dependent Variable: risky: Risky Behavior at Occasion.
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 7567.518
Akaike's Information Criterion (AIC) 7591.518
Hurvich and Tsai's Criterion (AICC) 7591.743
Bozdogan's Criterion (CAIC) 7666.449
Schwarz's Bayesian Criterion (BIC) 7654.449
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: risky: Risky Behavior at Occasion.


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 1 248.621 4806.788 .000
agec18 1 1197.730 170.553 .000
agec18 * agec18 1 1010.322 36.118 .000
att4 1 199.282 39.734 .000
agec18 * att4 1 199.235 26.748 .000
Age18mon3 1 247.548 8.832 .003
agec18 * Age18mon3 1 1197.221 6.318 .012
agec18 * agec18 * Age18mon3 1 1010.657 15.523 .000
a. Dependent Variable: risky: Risky Behavior at Occasion.
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 23.414745 .337724 248.621 69.331 .000 22.749580 24.079910
agec18 1.908314 .146123 1197.730 13.060 .000 1.621628 2.195000
agec18 * agec18 .132433 .022036 1010.322 6.010 .000 .089191 .175675
att4 -3.324226 .527366 199.282 -6.303 .000 -4.364159 -2.284292
agec18 * att4 -.532766 .103013 199.235 -5.172 .000 -.735902 -.329630
Age18mon3 -1.794050 .603691 247.548 -2.972 .003 -2.983076 -.605024
agec18 * Age18mon3 .655189 .260655 1197.221 2.514 .012 .143797 1.166582
agec18 * agec18 * Age18mon3 .154726 .039271 1010.657 3.940 .000 .077663 .231788
a. Dependent Variable: risky: Risky Behavior at Occasion.


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 8.226300 .367957 22.357 .000 7.535825 8.980040
Intercept + agec18 [subject = PersonID] UN (1,1) 16.167055 2.009208 8.046 .000 12.672006 20.626068
UN (2,1) 1.688413 .333815 5.058 .000 1.034148 2.342678
UN (2,2) .469156 .077479 6.055 .000 .339426 .648468
a. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 1 (Effect of Age 18 Monitoring at Age 12)


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 -.155068 .556091 258.476 0 -.279 .781 -1.250114 .939979
a. Effect of Age 18 Monitoring at Age 12
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 2 (Effect of Age 18 Monitoring at Age 14)


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 -1.939199 .451862 230.432 0 -4.292 .000 -2.829508 -1.048891
a. Effect of Age 18 Monitoring at Age 14
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 3 (Effect of Age 18 Monitoring at Age 16)


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 -2.485527 .471834 227.858 0 -5.268 .000 -3.415242 -1.555812
a. Effect of Age 18 Monitoring at Age 16
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 4 (Effect of Age 18 Monitoring at Age 18)


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 -1.794050 .603691 247.548 0 -2.972 .003 -2.983076 -.605024
a. Effect of Age 18 Monitoring at Age 18
b. Dependent Variable: risky: Risky Behavior at Occasion.


Correlations


CorrelationsCorrelations, table, 1 levels of column headers and 2 levels of row headers, table with 4 columns and 8 rows
  risky: Risky Behavior at Occasion Fixed Predicted Values
risky: Risky Behavior at Occasion Pearson Correlation 1 .525
Sig. (2-tailed)   .000
N 1400 1400
Fixed Predicted Values Pearson Correlation .525 1
Sig. (2-tailed) .000  
N 1400 1400


Eq 9.2: Adding Within-Person Monitoring by Quadratic Age; Using Deviation from Person Mean Monitoring as Within-Person Monitoring



Mixed Model Analysis


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  
agec18 1   1  
agec18 * agec18 1   1  
att4 1   1  
agec18 * att4 1   1  
PMmon3 1   1  
agec18 * PMmon3 1   1  
agec18 * agec18 * PMmon3 1   1  
WPmon 1   1  
agec18 * WPmon 1   1  
agec18 * agec18 * WPmon 1   1  
Random Effects Intercept + agec18b 2 Unstructured 3 PersonID
Residual     1  
Total 13   15  
a. Dependent Variable: risky: Risky Behavior at Occasion.
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 7459.951
Akaike's Information Criterion (AIC) 7489.951
Hurvich and Tsai's Criterion (AICC) 7490.298
Bozdogan's Criterion (CAIC) 7583.615
Schwarz's Bayesian Criterion (BIC) 7568.615
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: risky: Risky Behavior at Occasion.


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 14 rows
Source Numerator df Denominator df F Sig.
Intercept 1 240.294 4864.256 .000
agec18 1 1169.511 183.130 .000
agec18 * agec18 1 993.780 42.677 .000
att4 1 196.784 39.235 .000
agec18 * att4 1 184.939 21.868 .000
PMmon3 1 260.313 7.803 .006
agec18 * PMmon3 1 1187.485 8.242 .004
agec18 * agec18 * PMmon3 1 1014.486 9.560 .002
WPmon 1 1189.573 17.524 .000
agec18 * WPmon 1 1225.807 4.363 .037
agec18 * agec18 * WPmon 1 1233.436 8.474 .004
a. Dependent Variable: risky: Risky Behavior at Occasion.
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 15 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 23.469157 .336503 240.294 69.744 .000 22.806284 24.132030
agec18 1.920856 .141943 1169.511 13.533 .000 1.642363 2.199348
agec18 * agec18 .136475 .020891 993.780 6.533 .000 .095480 .177471
att4 -3.300859 .526975 196.784 -6.264 .000 -4.340101 -2.261616
agec18 * att4 -.514929 .110115 184.939 -4.676 .000 -.732171 -.297687
PMmon3 -1.730816 .619629 260.313 -2.793 .006 -2.950940 -.510692
agec18 * PMmon3 .757859 .263980 1187.485 2.871 .004 .239940 1.275777
agec18 * agec18 * PMmon3 .121873 .039416 1014.486 3.092 .002 .044526 .199220
WPmon 2.547222 .608486 1189.573 4.186 .000 1.353396 3.741047
agec18 * WPmon -.952252 .455913 1225.807 -2.089 .037 -1.846708 -.057795
agec18 * agec18 * WPmon -.215876 .074159 1233.436 -2.911 .004 -.361369 -.070383
a. Dependent Variable: risky: Risky Behavior at Occasion.


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 7.341476 .330939 22.184 .000 6.720676 8.019620
Intercept + agec18 [subject = PersonID] UN (1,1) 16.579089 2.023326 8.194 .000 13.052068 21.059206
UN (2,1) 2.134336 .371557 5.744 .000 1.406099 2.862574
UN (2,2) .610864 .091911 6.646 .000 .454854 .820383
a. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 1 (Effect of PM Monitoring at Age 12)


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 -1.890536 .582485 292.545 0 -3.246 .001 -3.036928 -.744144
a. Effect of PM Monitoring at Age 12
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 2 (Effect of PM Monitoring at Age 14)


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 -2.812281 .435077 233.319 0 -6.464 .000 -3.669463 -1.955099
a. Effect of PM Monitoring at Age 14
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 3 (Effect of PM Monitoring at Age 16)


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 -2.759041 .457898 231.012 0 -6.025 .000 -3.661231 -1.856851
a. Effect of PM Monitoring at Age 16
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 4 (Effect of PM Monitoring at Age 18)


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 -1.730816 .619629 260.313 0 -2.793 .006 -2.950940 -.510692
a. Effect of PM Monitoring at Age 18
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 5 (Effect of WP Monitoring at Age 12)


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 .489192 .649280 1168.887 0 .753 .451 -.784692 1.763077
a. Effect of WP Monitoring at Age 12
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 6 (Effect of WP Monitoring at Age 14)


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 2.902211 .361576 1069.259 0 8.027 .000 2.192732 3.611689
a. Effect of WP Monitoring at Age 14
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 7 (Effect of WP Monitoring at Age 16)


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 3.588221 .369379 1064.979 0 9.714 .000 2.863428 4.313014
a. Effect of WP Monitoring at Age 16
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 8 (Effect of WP Monitoring at Age 18)


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 2.547222 .608486 1189.573 0 4.186 .000 1.353396 3.741047
a. Effect of WP Monitoring at Age 18
b. Dependent Variable: risky: Risky Behavior at Occasion.


Correlations


CorrelationsCorrelations, table, 1 levels of column headers and 2 levels of row headers, table with 4 columns and 8 rows
  risky: Risky Behavior at Occasion Fixed Predicted Values
risky: Risky Behavior at Occasion Pearson Correlation 1 .567
Sig. (2-tailed)   .000
N 1400 1400
Fixed Predicted Values Pearson Correlation .567 1
Sig. (2-tailed) .000  
N 1400 1400


Eq 9.2: Adding Within-Person Monitoring by Quadratic Age; Using Change from Age 18 Monitoring as Within-Person Monitoring



Mixed Model Analysis


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  
agec18 1   1  
agec18 * agec18 1   1  
att4 1   1  
agec18 * att4 1   1  
Age18mon3 1   1  
agec18 * Age18mon3 1   1  
agec18 * agec18 * Age18mon3 1   1  
Change18mon 1   1  
agec18 * Change18mon 1   1  
agec18 * agec18 * Change18mon 1   1  
Random Effects Intercept + agec18b 2 Unstructured 3 PersonID
Residual     1  
Total 13   15  
a. Dependent Variable: risky: Risky Behavior at Occasion.
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 7503.512
Akaike's Information Criterion (AIC) 7533.512
Hurvich and Tsai's Criterion (AICC) 7533.859
Bozdogan's Criterion (CAIC) 7627.175
Schwarz's Bayesian Criterion (BIC) 7612.175
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: risky: Risky Behavior at Occasion.


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 14 rows
Source Numerator df Denominator df F Sig.
Intercept 1 237.766 4572.944 .000
agec18 1 1178.183 189.373 .000
agec18 * agec18 1 979.226 43.125 .000
att4 1 196.452 37.442 .000
agec18 * att4 1 196.642 26.328 .000
Age18mon3 1 242.247 5.138 .024
agec18 * Age18mon3 1 1189.696 1.731 .189
agec18 * agec18 * Age18mon3 1 984.217 5.699 .017
Change18mon 1 1078.346 29.971 .000
agec18 * Change18mon 1 1060.927 6.417 .011
agec18 * agec18 * Change18mon 1 1027.172 2.291 .130
a. Dependent Variable: risky: Risky Behavior at Occasion.
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 15 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 23.401296 .346052 237.766 67.624 .000 22.719576 24.083017
agec18 1.942760 .141176 1178.183 13.761 .000 1.665776 2.219744
agec18 * agec18 .138214 .021047 979.226 6.567 .000 .096912 .179516
att4 -3.332456 .544609 196.452 -6.119 .000 -4.406486 -2.258426
agec18 * att4 -.536120 .104484 196.642 -5.131 .000 -.742173 -.330066
Age18mon3 -1.410961 .622468 242.247 -2.267 .024 -2.637102 -.184821
agec18 * Age18mon3 .341165 .259288 1189.696 1.316 .189 -.167548 .849878
agec18 * agec18 * Age18mon3 .093082 .038991 984.217 2.387 .017 .016567 .169597
Change18mon 4.716307 .861494 1078.346 5.475 .000 3.025912 6.406702
agec18 * Change18mon 1.198141 .472989 1060.927 2.533 .011 .270041 2.126242
agec18 * agec18 * Change18mon .091866 .060698 1027.172 1.514 .130 -.027239 .210972
a. Dependent Variable: risky: Risky Behavior at Occasion.


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 7.472182 .339432 22.014 .000 6.835664 8.167971
Intercept + agec18 [subject = PersonID] UN (1,1) 17.843441 2.156083 8.276 .000 14.080726 22.611646
UN (2,1) 1.762452 .347050 5.078 .000 1.082247 2.442657
UN (2,2) .517721 .080229 6.453 .000 .382110 .701460
a. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 1 (Effect of Age 18 Monitoring at Age 12)


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 -.106992 .592851 214.917 0 -.180 .857 -1.275539 1.061555
a. Effect of Age 18 Monitoring at Age 12
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 2 (Effect of Age 18 Monitoring at Age 14)


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 -1.286306 .489550 212.030 0 -2.628 .009 -2.251314 -.321297
a. Effect of Age 18 Monitoring at Age 14
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 3 (Effect of Age 18 Monitoring at Age 16)


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 -1.720962 .503707 231.710 0 -3.417 .001 -2.713393 -.728531
a. Effect of Age 18 Monitoring at Age 16
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 4 (Effect of Age 18 Monitoring at Age 18)


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 -1.410961 .622468 242.247 0 -2.267 .024 -2.637102 -.184821
a. Effect of Age 18 Monitoring at Age 18
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 5 (Effect of Change in Monitoring at Age 12)


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 .834646 .372255 702.104 0 2.242 .025 .103780 1.565513
a. Effect of Change in Monitoring at Age 12
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 6 (Effect of Change in Monitoring at Age 14)


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 1.393602 .297395 1102.384 0 4.686 .000 .810078 1.977127
a. Effect of Change in Monitoring at Age 14
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 7 (Effect of Change in Monitoring at Age 16)


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 2.687489 .323486 1167.773 0 8.308 .000 2.052810 3.322169
a. Effect of Change in Monitoring at Age 16
b. Dependent Variable: risky: Risky Behavior at Occasion.


Custom Hypothesis Test 8 (Effect of Change in Monitoring at Age 18)


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 4.716307 .861494 1078.346 0 5.475 .000 3.025912 6.406702
a. Effect of Change in Monitoring at Age 18
b. Dependent Variable: risky: Risky Behavior at Occasion.


Correlations


CorrelationsCorrelations, table, 1 levels of column headers and 2 levels of row headers, table with 4 columns and 8 rows
  risky: Risky Behavior at Occasion Fixed Predicted Values
risky: Risky Behavior at Occasion Pearson Correlation 1 .489
Sig. (2-tailed)   .000
N 1400 1400
Fixed Predicted Values Pearson Correlation .489 1
Sig. (2-tailed) .000  
N 1400 1400


Variables to Cases



[Chapter9doublestacked] 


Generated VariablesGenerated Variables, table, 1 levels of column headers and 0 levels of row headers, table with 2 columns and 4 rows
Name Label
DV <none>
outcome risky: Risky Behavior at Occasion
Processing StatisticsProcessing Statistics, table, 0 levels of column headers and 1 levels of row headers, table with 2 columns and 3 rows
Variables In 20
Variables Out 20


Ch 9 Eq 9.3: Multivariate Model of Risky Behavior and Monitoring; Tricking Univariate Software



Mixed Model Analysis


Model DimensionaModel Dimension, table, 1 levels of column headers and 2 levels of row headers, table with 7 columns and 14 rows
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects dvR 1   1    
dvM 1   1    
agec18 * dvR 1   1    
agec18 * dvM 1   1    
agec18 * agec18 * dvR 1   1    
att4 * dvR 1   1    
agec18 * att4 * dvR 1   1    
Random Effects dvR + dvM + agec18 * dvR + agec18 * dvMb 4 Unstructured 10 PersonID  
Repeated Effects DV 2 Unstructured 3 PersonID * occasion 1400
Total 13   20    
a. Dependent Variable: outcome: Combined outcome variable column.
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 8784.527
Akaike's Information Criterion (AIC) 8824.527
Hurvich and Tsai's Criterion (AICC) 8824.830
Bozdogan's Criterion (CAIC) 8963.275
Schwarz's Bayesian Criterion (BIC) 8943.275
The information criteria are displayed in smaller-is-better form.
a. Dependent Variable: outcome: Combined outcome variable column.


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 10 rows
Source Numerator df Denominator df F Sig.
dvR 1 239.189 4496.374 .000
dvM 1 200.364 8069.471 .000
agec18 * dvR 1 1185.412 202.985 .000
agec18 * dvM 1 199.796 .161 .688
agec18 * agec18 * dvR 1 1009.717 50.709 .000
att4 * dvR 1 199.356 42.275 .000
agec18 * att4 * dvR 1 198.992 26.704 .000
a. Dependent Variable: outcome: Combined outcome variable column.
Estimates of Fixed EffectsaEstimates of Fixed Effects, table, 2 levels of column headers and 1 levels of row headers, table with 8 columns and 11 rows
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
dvR 23.313842 .347682 239.189 67.055 .000 22.628931 23.998752
dvM 3.065050 .034120 200.364 89.830 .000 2.997768 3.132331
agec18 * dvR 1.974272 .138572 1185.412 14.247 .000 1.702399 2.246146
agec18 * dvM -.003284 .008176 199.796 -.402 .688 -.019407 .012839
agec18 * agec18 * dvR .146555 .020581 1009.717 7.121 .000 .106169 .186940
att4 * dvR -3.332835 .512590 199.356 -6.502 .000 -4.343628 -2.322041
agec18 * att4 * dvR -.529754 .102514 198.992 -5.168 .000 -.731906 -.327601
a. Dependent Variable: outcome: Combined outcome variable column.


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 UN (1,1) 8.353840 .373662 22.357 .000 7.652660 9.119266
UN (2,1) .287407 .027527 10.441 .000 .233456 .341359
UN (2,2) .080765 .003613 22.354 .000 .073986 .088166
dvR + dvM + agec18 * dvR + agec18 * dvM [subject = PersonID] UN (1,1) 18.064422 2.203974 8.196 .000 14.222374 22.944366
UN (2,1) -.855429 .168498 -5.077 .000 -1.185679 -.525179
UN (2,2) .195347 .023321 8.376 .000 .154592 .246847
UN (3,1) 1.882911 .356431 5.283 .000 1.184320 2.581502
UN (3,2) -.106421 .030864 -3.448 .001 -.166914 -.045929
UN (3,3) .488300 .079835 6.116 .000 .354421 .672751
UN (4,1) .040718 .038794 1.050 .294 -.035317 .116754
UN (4,2) -.000472 .004005 -.118 .906 -.008322 .007379
UN (4,3) -.018150 .007344 -2.472 .013 -.032543 -.003757
UN (4,4) .010485 .001344 7.803 .000 .008156 .013479
a. Dependent Variable: outcome: Combined outcome variable column.
Random Effect Covariance Structure (G)aRandom Effect Covariance Structure (G), table, 1 levels of column headers and 1 levels of row headers, table with 5 columns and 8 rows
  dvR | PersonID dvM | PersonID agec18 * dvR | PersonID agec18 * dvM | PersonID
dvR | PersonID 18.064422 -.855429 1.882911 .040718
dvM | PersonID -.855429 .195347 -.106421 -.000472
agec18 * dvR | PersonID 1.882911 -.106421 .488300 -.018150
agec18 * dvM | PersonID .040718 -.000472 -.018150 .010485
Unstructured
a. Dependent Variable: outcome: Combined outcome variable column.
Residual Covariance (R) MatrixaResidual Covariance (R) Matrix, table, 1 levels of column headers and 1 levels of row headers, table with 3 columns and 6 rows
  [DV = 1] [DV = 2]
[DV = 1] 8.353840 .287407
[DV = 2] .287407 .080765
Unstructured
a. Dependent Variable: outcome: Combined outcome variable column.