* Centering level-2 predictor variables for analysis.
DATASET ACTIVATE example23 WINDOW=FRONT.
COMPUTE age80  = age - 80.
COMPUTE reas22 = absreas - 22.
VARIABLE LABELS
age80 "age80: Age Centered (0=80)"
reas22 "reas22: Abstract Reasoning Centered (0=22)".
* Make education a grouping variable for purpose of demonstration only.
IF educyrs LE 12                   educgrp=1.
IF educyrs GT 12 AND educyrs LE 16 educgrp=2.
IF educyrs GT 16                   educgrp=3.
VARIABLE LABELS educgrp "educgrp: Education Group (1=HS, 2=BA, 3=GRAD)".
* Removing cases with missing predictors.
SELECT IF (NVALID(age80, reas22, educgrp)=3).
EXECUTE.

TITLE "SPSS Model 3b: Random Quadratic Time Baseline in ML".


SPSS Model 3b: Random Quadratic Time Baseline in ML


MIXED nm3rt BY ID session WITH c1sess
/METHOD = ML
 /PRINT  = SOLUTION TESTCOV G
 /FIXED  = c1sess c1sess*c1sess
 /RANDOM = INTERCEPT c1sess c1sess*c1sess | SUBJECT(ID) COVTYPE(UN)
/REPEATED = session | SUBJECT(ID) COVTYPE(ID)
 /SAVE = FIXPRED (predtime).



Mixed Model Analysis


Notes
Output Created 03-MAY-2013 11:26:25
Comments  
Input Data F:\QIPSR 2013\Download\SPSS\Example23.sav
Active Dataset example23
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 606
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data for all variables in the model.
Syntax MIXED nm3rt BY ID session WITH c1sess
/METHOD = ML
/PRINT = SOLUTION TESTCOV G
/FIXED = c1sess c1sess*c1sess
/RANDOM = INTERCEPT c1sess c1sess*c1sess | SUBJECT(ID) COVTYPE(UN)
/REPEATED = session | SUBJECT(ID) COVTYPE(ID)
/SAVE = FIXPRED (predtime).
Resources Processor Time 00:00:00.03
Elapsed Time 00:00:00.31
Variables Created predtime Fixed Predicted Values


[example23] F:\QIPSR 2013\Download\SPSS\Example23.sav


Model Dimensiona
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
c1sess 1   1    
c1sess * c1sess 1   1    
Random Effects Intercept + c1sess + c1sess * c1sessb 3 Unstructured 6 ID  
Repeated Effects session 6 Identity 1 ID 101
Total 12   10    
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.
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 Criteriaa
-2 Log Likelihood 8321.767
Akaike's Information Criterion (AIC) 8341.767
Hurvich and Tsai's Criterion (AICC) 8342.136
Bozdogan's Criterion (CAIC) 8395.835
Schwarz's Bayesian Criterion (BIC) 8385.835
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 101 1318.781 .000
c1sess 1 101.000 36.732 .000
c1sess * c1sess 1 101.000 16.646 .000
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 1945.849783 53.582499 101 36.315 .000 1839.556519 2052.143047
c1sess -120.899922 19.948068 101.000 -6.061 .000 -160.471523 -81.328320
c1sess * c1sess 13.865613 3.398468 101.000 4.080 .000 7.123968 20.607259
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Covariance Parameters


Estimates of Covariance Parametersa
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Variance 20298.185665 1649.114857 12.309 .000 17310.189510 23801.954396
Intercept + c1sess + c1sess * c1sess [subject = ID] UN (1,1) 273305.991707 40828.251685 6.694 .000 203934.664178 366274.980295
UN (2,1) -35261.631562 11764.947689 -2.997 .003 -58320.505313 -12202.757811
UN (2,2) 25438.036735 5781.189144 4.400 .000 16294.266389 39712.970041
UN (3,1) 3845.380927 1920.351720 2.002 .045 81.560719 7609.201135
UN (3,2) -3837.756661 968.789886 -3.961 .000 -5736.549947 -1938.963375
UN (3,3) 622.806319 169.989943 3.664 .000 364.774473 1063.363090
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

Random Effect Covariance Structure (G)a
  Intercept | ID c1sess | ID c1sess * c1sess | ID
Intercept | ID 273305.991707 -35261.631562 3845.380927
c1sess | ID -35261.631562 25438.036735 -3837.756661
c1sess * c1sess | ID 3845.380927 -3837.756661 622.806319
Unstructured
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

CORRELATIONS nm3rt predtime.



Correlations


Notes
Output Created 03-MAY-2013 11:26:25
Comments  
Input Data F:\QIPSR 2013\Download\SPSS\Example23.sav
Active Dataset example23
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 606
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair.
Syntax CORRELATIONS nm3rt predtime.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.02


[example23] F:\QIPSR 2013\Download\SPSS\Example23.sav


Correlations
  nm3rt: Number-Match 3 RT in ms Fixed Predicted Values
nm3rt: Number-Match 3 RT in ms Pearson Correlation 1 .192
Sig. (2-tailed)   .000
N 606 606
Fixed Predicted Values Pearson Correlation .192 1
Sig. (2-tailed) .000  
N 606 606


TITLE "SPSS Model 4a: Age as Predictor of Intercept, Linear, and Quadratic".

>Warning # 2003.  Command name: TITLE
>The title given exceeds 60 characters in length.  The first 60 characters will
>be used.


SPSS Model 4a: Age as Predictor of Intercept, Linear, and Qu


MIXED nm3rt BY ID session WITH c1sess age80
/METHOD = ML
 /PRINT  = SOLUTION TESTCOV G
 /FIXED  = c1sess c1sess*c1sess age80 c1sess*age80 c1sess*c1sess*age80
 /RANDOM = INTERCEPT c1sess c1sess*c1sess | SUBJECT(ID) COVTYPE(UN)
/REPEATED = session | SUBJECT(ID) COVTYPE(ID)
 /SAVE = FIXPRED (predage)
/TEST = "Age Effect at Session 1" age80 1 c1sess*age80 0 c1sess*c1sess*age80 0
/TEST = "Age Effect at Session 2" age80 1 c1sess*age80 1 c1sess*c1sess*age80 1
/TEST = "Age Effect at Session 3" age80 1 c1sess*age80 2 c1sess*c1sess*age80 4
/TEST = "Age Effect at Session 4" age80 1 c1sess*age80 3 c1sess*c1sess*age80 9
/TEST = "Age Effect at Session 5" age80 1 c1sess*age80 4 c1sess*c1sess*age80 1
/TEST = "Age Effect at Session 6" age80 1 c1sess*age80 5 c1sess*c1sess*age80 25.



Mixed Model Analysis


Notes
Output Created 03-MAY-2013 11:26:26
Comments  
Input Data F:\QIPSR 2013\Download\SPSS\Example23.sav
Active Dataset example23
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 606
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data for all variables in the model.
Syntax MIXED nm3rt BY ID session WITH c1sess age80
/METHOD = ML
/PRINT = SOLUTION TESTCOV G
/FIXED = c1sess c1sess*c1sess age80 c1sess*age80 c1sess*c1sess*age80
/RANDOM = INTERCEPT c1sess c1sess*c1sess | SUBJECT(ID) COVTYPE(UN)
/REPEATED = session | SUBJECT(ID) COVTYPE(ID)
/SAVE = FIXPRED (predage)
/TEST = "Age Effect at Session 1" age80 1 c1sess*age80 0 c1sess*c1sess*age80 0
/TEST = "Age Effect at Session 2" age80 1 c1sess*age80 1 c1sess*c1sess*age80 1
/TEST = "Age Effect at Session 3" age80 1 c1sess*age80 2 c1sess*c1sess*age80 4
/TEST = "Age Effect at Session 4" age80 1 c1sess*age80 3 c1sess*c1sess*age80 9
/TEST = "Age Effect at Session 5" age80 1 c1sess*age80 4 c1sess*c1sess*age80 1
/TEST = "Age Effect at Session 6" age80 1 c1sess*age80 5 c1sess*c1sess*age80 25.
Resources Processor Time 00:00:00.03
Elapsed Time 00:00:00.11
Variables Created predage Fixed Predicted Values


[example23] F:\QIPSR 2013\Download\SPSS\Example23.sav


Model Dimensiona
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
c1sess 1   1    
c1sess * c1sess 1   1    
age80 1   1    
c1sess * age80 1   1    
c1sess * c1sess * age80 1   1    
Random Effects Intercept + c1sess + c1sess * c1sessb 3 Unstructured 6 ID  
Repeated Effects session 6 Identity 1 ID 101
Total 15   13    
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.
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 Criteriaa
-2 Log Likelihood 8310.202
Akaike's Information Criterion (AIC) 8336.202
Hurvich and Tsai's Criterion (AICC) 8336.817
Bozdogan's Criterion (CAIC) 8406.491
Schwarz's Bayesian Criterion (BIC) 8393.491
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 101 1482.014 .000
c1sess 1 101.000 38.365 .000
c1sess * c1sess 1 101.000 17.145 .000
age80 1 101 12.024 .001
c1sess * age80 1 101.000 2.960 .088
c1sess * c1sess * age80 1 101.000 1.445 .232
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 1950.691864 50.671348 101 38.497 .000 1850.173541 2051.210188
c1sess -121.832456 19.669518 101.000 -6.194 .000 -160.851488 -82.813423
c1sess * c1sess 13.977443 3.375694 101.000 4.141 .000 7.280975 20.673912
age80 29.049538 8.377356 101 3.468 .001 12.431116 45.667959
c1sess * age80 -5.594634 3.251908 101.000 -1.720 .088 -12.045545 .856277
c1sess * c1sess * age80 .670912 .558094 101.000 1.202 .232 -.436197 1.778021
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Covariance Parameters


Estimates of Covariance Parametersa
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Variance 20298.185665 1649.114857 12.309 .000 17310.189510 23801.954396
Intercept + c1sess + c1sess * c1sess [subject = ID] UN (1,1) 242455.688882 36489.686641 6.644 .000 180520.353862 325640.626188
UN (2,1) -29320.189426 10862.584044 -2.699 .007 -50610.462933 -8029.915920
UN (2,2) 24293.777800 5623.767093 4.320 .000 15433.001317 38241.922469
UN (3,1) 3132.879291 1792.881924 1.747 .081 -381.104709 6646.863291
UN (3,2) -3700.536379 949.393498 -3.898 .000 -5561.313442 -1839.759317
UN (3,3) 606.350773 167.754953 3.615 .000 352.555733 1042.845783
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

Random Effect Covariance Structure (G)a
  Intercept | ID c1sess | ID c1sess * c1sess | ID
Intercept | ID 242455.688882 -29320.189426 3132.879291
c1sess | ID -29320.189426 24293.777800 -3700.536379
c1sess * c1sess | ID 3132.879291 -3700.536379 606.350773
Unstructured
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 1 (Age Effect at Session 1)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 29.049538 8.377356 101 0 3.468 .001 12.431116 45.667959
a. Age Effect at Session 1
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 2 (Age Effect at Session 2)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 24.125816 7.609699 101.000 0 3.170 .002 9.030221 39.221411
a. Age Effect at Session 2
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 3 (Age Effect at Session 3)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 20.543919 7.459283 101.000 0 2.754 .007 5.746708 35.341129
a. Age Effect at Session 3
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 4 (Age Effect at Session 4)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 18.303846 7.330175 101.000 0 2.497 .014 3.762750 32.844941
a. Age Effect at Session 4
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 5 (Age Effect at Session 5)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 7.341915 11.790603 101.000 0 .623 .535 -16.047471 30.731300
a. Age Effect at Session 5
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 6 (Age Effect at Session 6)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 17.849172 7.054456 101.000 0 2.530 .013 3.855030 31.843315
a. Age Effect at Session 6
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

CORRELATIONS nm3rt predage.



Correlations


Notes
Output Created 03-MAY-2013 11:26:26
Comments  
Input Data F:\QIPSR 2013\Download\SPSS\Example23.sav
Active Dataset example23
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 606
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair.
Syntax CORRELATIONS nm3rt predage.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.27


[example23] F:\QIPSR 2013\Download\SPSS\Example23.sav


Correlations
  nm3rt: Number-Match 3 RT in ms Fixed Predicted Values
nm3rt: Number-Match 3 RT in ms Pearson Correlation 1 .327
Sig. (2-tailed)   .000
N 606 606
Fixed Predicted Values Pearson Correlation .327 1
Sig. (2-tailed) .000  
N 606 606


TITLE "SPSS Model 5a: +Reasoning as Predictor of Intercept, Linear, and Quadratic".

>Warning # 2003.  Command name: TITLE
>The title given exceeds 60 characters in length.  The first 60 characters will
>be used.


SPSS Model 5a: +Reasoning as Predictor of Intercept, Linear,


MIXED nm3rt BY ID session WITH c1sess age80 reas22
/METHOD = ML
 /PRINT  = SOLUTION TESTCOV G
 /FIXED  = c1sess c1sess*c1sess age80 c1sess*age80 c1sess*c1sess*age80
           reas22 c1sess*reas22 c1sess*c1sess*reas22
 /RANDOM = INTERCEPT c1sess c1sess*c1sess | SUBJECT(ID) COVTYPE(UN)
/REPEATED = session | SUBJECT(ID) COVTYPE(ID)
 /SAVE = FIXPRED (predreas).



Mixed Model Analysis


Notes
Output Created 03-MAY-2013 11:26:27
Comments  
Input Data F:\QIPSR 2013\Download\SPSS\Example23.sav
Active Dataset example23
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 606
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data for all variables in the model.
Syntax MIXED nm3rt BY ID session WITH c1sess age80 reas22
/METHOD = ML
/PRINT = SOLUTION TESTCOV G
/FIXED = c1sess c1sess*c1sess age80 c1sess*age80 c1sess*c1sess*age80
reas22 c1sess*reas22 c1sess*c1sess*reas22
/RANDOM = INTERCEPT c1sess c1sess*c1sess | SUBJECT(ID) COVTYPE(UN)
/REPEATED = session | SUBJECT(ID) COVTYPE(ID)
/SAVE = FIXPRED (predreas).
Resources Processor Time 00:00:00.06
Elapsed Time 00:00:00.20
Variables Created predreas Fixed Predicted Values


[example23] F:\QIPSR 2013\Download\SPSS\Example23.sav


Model Dimensiona
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
c1sess 1   1    
c1sess * c1sess 1   1    
age80 1   1    
c1sess * age80 1   1    
c1sess * c1sess * age80 1   1    
reas22 1   1    
c1sess * reas22 1   1    
c1sess * c1sess * reas22 1   1    
Random Effects Intercept + c1sess + c1sess * c1sessb 3 Unstructured 6 ID  
Repeated Effects session 6 Identity 1 ID 101
Total 18   16    
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.
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 Criteriaa
-2 Log Likelihood 8297.729
Akaike's Information Criterion (AIC) 8329.729
Hurvich and Tsai's Criterion (AICC) 8330.653
Bozdogan's Criterion (CAIC) 8416.239
Schwarz's Bayesian Criterion (BIC) 8400.239
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 101.000 1567.681 .000
c1sess 1 101 36.669 .000
c1sess * c1sess 1 101.000 15.625 .000
age80 1 101.000 6.708 .011
c1sess * age80 1 101 3.593 .061
c1sess * c1sess * age80 1 101 2.713 .103
reas22 1 101.000 5.946 .016
c1sess * reas22 1 101 .659 .419
c1sess * c1sess * reas22 1 101 2.362 .127
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 1966.467404 49.665846 101.000 39.594 .000 1867.943726 2064.991082
c1sess -119.741651 19.774166 101 -6.055 .000 -158.968277 -80.515025
c1sess * c1sess 13.303625 3.365574 101.000 3.953 .000 6.627230 19.980019
age80 22.278170 8.601751 101.000 2.590 .011 5.214610 39.341729
c1sess * age80 -6.492074 3.424737 101 -1.896 .061 -13.285830 .301682
c1sess * c1sess * age80 .960137 .582892 101 1.647 .103 -.196164 2.116438
reas22 -27.100409 11.114108 101.000 -2.438 .016 -49.147810 -5.053008
c1sess * reas22 -3.591742 4.425017 101 -.812 .419 -12.369785 5.186302
c1sess * c1sess * reas22 1.157537 .753140 101 1.537 .127 -.336492 2.651565
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Covariance Parameters


Estimates of Covariance Parametersa
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Variance 20298.185665 1649.114857 12.309 .000 17310.189510 23801.954396
Intercept + c1sess + c1sess * c1sess [subject = ID] UN (1,1) 228049.288118 34463.904605 6.617 .000 169586.412144 306666.537451
UN (2,1) -31229.535829 10649.414452 -2.933 .003 -52102.004612 -10357.067046
UN (2,2) 24040.723360 5588.980667 4.301 .000 15242.648452 37917.057622
UN (3,1) 3748.218180 1746.627470 2.146 .032 324.891244 7171.545116
UN (3,2) -3618.982693 937.054500 -3.862 .000 -5455.575764 -1782.389621
UN (3,3) 580.067876 164.189848 3.533 .000 333.076366 1010.214998
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

Random Effect Covariance Structure (G)a
  Intercept | ID c1sess | ID c1sess * c1sess | ID
Intercept | ID 228049.288118 -31229.535829 3748.218180
c1sess | ID -31229.535829 24040.723360 -3618.982693
c1sess * c1sess | ID 3748.218180 -3618.982693 580.067876
Unstructured
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

CORRELATIONS nm3rt predreas.



Correlations


Notes
Output Created 03-MAY-2013 11:26:27
Comments  
Input Data F:\QIPSR 2013\Download\SPSS\Example23.sav
Active Dataset example23
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 606
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair.
Syntax CORRELATIONS nm3rt predreas.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.17


[example23] F:\QIPSR 2013\Download\SPSS\Example23.sav


Correlations
  nm3rt: Number-Match 3 RT in ms Fixed Predicted Values
nm3rt: Number-Match 3 RT in ms Pearson Correlation 1 .401
Sig. (2-tailed)   .000
N 606 606
Fixed Predicted Values Pearson Correlation .401 1
Sig. (2-tailed) .000  
N 606 606


TITLE "SPSS Model 5b: +Reasoning as Predictor of Intercept, Linear Time Slope Only".

>Warning # 2003.  Command name: TITLE
>The title given exceeds 60 characters in length.  The first 60 characters will
>be used.


SPSS Model 5b: +Reasoning as Predictor of Intercept, Linear


MIXED nm3rt BY ID session WITH c1sess age80 reas22
/METHOD = ML
 /PRINT  = SOLUTION TESTCOV G
 /FIXED  = c1sess c1sess*c1sess age80 c1sess*age80 c1sess*c1sess*age80
           reas22 c1sess*reas22
 /RANDOM = INTERCEPT c1sess c1sess*c1sess | SUBJECT(ID) COVTYPE(UN)
/REPEATED = session | SUBJECT(ID) COVTYPE(ID)
 /SAVE = FIXPRED (predreas2)
/TEST = "Reasoning Effect at Session 1" reas22 1 c1sess*reas22 0
/TEST = "Reasoning Effect at Session 2" reas22 1 c1sess*reas22 1
/TEST = "Reasoning Effect at Session 3" reas22 1 c1sess*reas22 2
/TEST = "Reasoning Effect at Session 4" reas22 1 c1sess*reas22 3
/TEST = "Reasoning Effect at Session 5" reas22 1 c1sess*reas22 4
/TEST = "Reasoning Effect at Session 6" reas22 1 c1sess*reas22 5.



Mixed Model Analysis


Notes
Output Created 03-MAY-2013 11:26:28
Comments  
Input Data F:\QIPSR 2013\Download\SPSS\Example23.sav
Active Dataset example23
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 606
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data for all variables in the model.
Syntax MIXED nm3rt BY ID session WITH c1sess age80 reas22
/METHOD = ML
/PRINT = SOLUTION TESTCOV G
/FIXED = c1sess c1sess*c1sess age80 c1sess*age80 c1sess*c1sess*age80
reas22 c1sess*reas22
/RANDOM = INTERCEPT c1sess c1sess*c1sess | SUBJECT(ID) COVTYPE(UN)
/REPEATED = session | SUBJECT(ID) COVTYPE(ID)
/SAVE = FIXPRED (predreas2)
/TEST = "Reasoning Effect at Session 1" reas22 1 c1sess*reas22 0
/TEST = "Reasoning Effect at Session 2" reas22 1 c1sess*reas22 1
/TEST = "Reasoning Effect at Session 3" reas22 1 c1sess*reas22 2
/TEST = "Reasoning Effect at Session 4" reas22 1 c1sess*reas22 3
/TEST = "Reasoning Effect at Session 5" reas22 1 c1sess*reas22 4
/TEST = "Reasoning Effect at Session 6" reas22 1 c1sess*reas22 5.
Resources Processor Time 00:00:00.08
Elapsed Time 00:00:00.33
Variables Created predreas2 Fixed Predicted Values


[example23] F:\QIPSR 2013\Download\SPSS\Example23.sav


Model Dimensiona
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
c1sess 1   1    
c1sess * c1sess 1   1    
age80 1   1    
c1sess * age80 1   1    
c1sess * c1sess * age80 1   1    
reas22 1   1    
c1sess * reas22 1   1    
Random Effects Intercept + c1sess + c1sess * c1sessb 3 Unstructured 6 ID  
Repeated Effects session 6 Identity 1 ID 101
Total 17   15    
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.
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 Criteriaa
-2 Log Likelihood 8300.064
Akaike's Information Criterion (AIC) 8330.064
Hurvich and Tsai's Criterion (AICC) 8330.877
Bozdogan's Criterion (CAIC) 8411.167
Schwarz's Bayesian Criterion (BIC) 8396.167
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 100.878 1571.938 .000
c1sess 1 100.912 38.817 .000
c1sess * c1sess 1 101.000 17.145 .000
age80 1 102.593 5.929 .017
c1sess * age80 1 102.329 2.182 .143
c1sess * c1sess * age80 1 101.000 1.445 .232
reas22 1 101 9.830 .002
c1sess * reas22 1 101.000 5.595 .020
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 1969.801546 49.682658 100.878 39.648 .000 1871.243075 2068.360018
c1sess -123.541647 19.828949 100.912 -6.230 .000 -162.877363 -84.205932
c1sess * c1sess 13.977443 3.375694 101.000 4.141 .000 7.280975 20.673912
age80 20.847049 8.561388 102.593 2.435 .017 3.866754 37.827343
c1sess * age80 -4.860994 3.290739 102.329 -1.477 .143 -11.387907 1.665919
c1sess * c1sess * age80 .670912 .558094 101.000 1.202 .232 -.436197 1.778021
reas22 -32.828050 10.470701 101 -3.135 .002 -53.599104 -12.056995
c1sess * reas22 2.936178 1.241353 101.000 2.365 .020 .473668 5.398689
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Covariance Parameters


Estimates of Covariance Parametersa
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Variance 20298.185665 1649.114857 12.309 .000 17310.189510 23801.954396
Intercept + c1sess + c1sess * c1sess [subject = ID] UN (1,1) 228692.798252 34636.266567 6.603 .000 169955.511145 307729.920731
UN (2,1) -31962.958658 10879.153232 -2.938 .003 -53285.707175 -10640.210142
UN (2,2) 24876.621690 5712.986465 4.354 .000 15860.269479 39018.650188
UN (3,1) 3878.269364 1787.190860 2.170 .030 375.439646 7381.099083
UN (3,2) -3767.204923 957.766108 -3.933 .000 -5644.392002 -1890.017845
UN (3,3) 606.350773 167.754953 3.615 .000 352.555733 1042.845783
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

Random Effect Covariance Structure (G)a
  Intercept | ID c1sess | ID c1sess * c1sess | ID
Intercept | ID 228692.798252 -31962.958658 3878.269364
c1sess | ID -31962.958658 24876.621690 -3767.204923
c1sess * c1sess | ID 3878.269364 -3767.204923 606.350773
Unstructured
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 1 (Reasoning Effect at Session 1)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -32.828050 10.470701 101 0 -3.135 .002 -53.599104 -12.056995
a. Reasoning Effect at Session 1
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 2 (Reasoning Effect at Session 2)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -29.891871 9.961522 101 0 -3.001 .003 -49.652852 -10.130891
a. Reasoning Effect at Session 2
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 3 (Reasoning Effect at Session 3)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -26.955693 9.586980 101 0 -2.812 .006 -45.973683 -7.937703
a. Reasoning Effect at Session 3
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 4 (Reasoning Effect at Session 4)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -24.019514 9.363245 101 0 -2.565 .012 -42.593674 -5.445354
a. Reasoning Effect at Session 4
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 5 (Reasoning Effect at Session 5)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -21.083336 9.301207 101 0 -2.267 .026 -39.534429 -2.632243
a. Reasoning Effect at Session 5
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 6 (Reasoning Effect at Session 6)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -18.147157 9.404066 101.000 0 -1.930 .056 -36.802294 .507979
a. Reasoning Effect at Session 6
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

CORRELATIONS nm3rt predreas2.



Correlations


Notes
Output Created 03-MAY-2013 11:26:28
Comments  
Input Data F:\QIPSR 2013\Download\SPSS\Example23.sav
Active Dataset example23
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 606
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair.
Syntax CORRELATIONS nm3rt predreas2.
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.28


[example23] F:\QIPSR 2013\Download\SPSS\Example23.sav


Correlations
  nm3rt: Number-Match 3 RT in ms Fixed Predicted Values
nm3rt: Number-Match 3 RT in ms Pearson Correlation 1 .400
Sig. (2-tailed)   .000
N 606 606
Fixed Predicted Values Pearson Correlation .400 1
Sig. (2-tailed) .000  
N 606 606


TITLE "SPSS Model 6a: +Education Group on Intercept, Linear, and Quadratic".

>Warning # 2003.  Command name: TITLE
>The title given exceeds 60 characters in length.  The first 60 characters will
>be used.


SPSS Model 6a: +Education Group on Intercept, Linear, and Qu


MIXED nm3rt BY ID session educgrp WITH c1sess age80 reas22
 /METHOD = ML
 /PRINT  = SOLUTION TESTCOV G
 /FIXED  = c1sess c1sess*c1sess age80 c1sess*age80 c1sess*c1sess*age80
           reas22 c1sess*reas22 educgrp c1sess*educgrp c1sess*c1sess*educgrp
 /RANDOM = INTERCEPT c1sess c1sess*c1sess | SUBJECT(ID) COVTYPE(UN)
/REPEATED = session | SUBJECT(ID) COVTYPE(ID)
 /SAVE = FIXPRED (prededuc)
/EMMEANS = TABLES(educgrp) WITH (c1sess=0) COMPARE(educgrp)
/EMMEANS = TABLES(educgrp) WITH (c1sess=5) COMPARE(educgrp)
/TEST = "L vs. H Educ for for Main Effect" educgrp -1  0  1
/TEST = "M vs. H Educ for for Main Effect" educgrp  0 -1  1
/TEST = "L vs. M Educ for for Main Effect" educgrp -1  1  0
/TEST = "L vs. H Educ for for Linear Session" c1sess*educgrp -1  0  1
/TEST = "M vs. H Educ for for Linear Session" c1sess*educgrp  0 -1  1
/TEST = "L vs. M Educ for for Linear Session" c1sess*educgrp -1  1  0
/TEST = "L vs. H Educ for for Quadratic Session" c1sess*c1sess*educgrp -1  0  1
/TEST = "M vs. H Educ for for Quadratic Session" c1sess*c1sess*educgrp  0 -1  1
/TEST = "L vs. M Educ for for Quadratic Session" c1sess*c1sess*educgrp -1  1  0.



Mixed Model Analysis


Notes
Output Created 03-MAY-2013 11:26:29
Comments  
Input Data F:\QIPSR 2013\Download\SPSS\Example23.sav
Active Dataset example23
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 606
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics are based on all cases with valid data for all variables in the model.
Syntax MIXED nm3rt BY ID session educgrp WITH c1sess age80 reas22
/METHOD = ML
/PRINT = SOLUTION TESTCOV G
/FIXED = c1sess c1sess*c1sess age80 c1sess*age80 c1sess*c1sess*age80
reas22 c1sess*reas22 educgrp c1sess*educgrp c1sess*c1sess*educgrp
/RANDOM = INTERCEPT c1sess c1sess*c1sess | SUBJECT(ID) COVTYPE(UN)
/REPEATED = session | SUBJECT(ID) COVTYPE(ID)
/SAVE = FIXPRED (prededuc)
/EMMEANS = TABLES(educgrp) WITH (c1sess=0) COMPARE(educgrp)
/EMMEANS = TABLES(educgrp) WITH (c1sess=5) COMPARE(educgrp)
/TEST = "L vs. H Educ for for Main Effect" educgrp -1 0 1
/TEST = "M vs. H Educ for for Main Effect" educgrp 0 -1 1
/TEST = "L vs. M Educ for for Main Effect" educgrp -1 1 0
/TEST = "L vs. H Educ for for Linear Session" c1sess*educgrp -1 0 1
/TEST = "M vs. H Educ for for Linear Session" c1sess*educgrp 0 -1 1
/TEST = "L vs. M Educ for for Linear Session" c1sess*educgrp -1 1 0
/TEST = "L vs. H Educ for for Quadratic Session" c1sess*c1sess*educgrp -1 0 1
/TEST = "M vs. H Educ for for Quadratic Session" c1sess*c1sess*educgrp 0 -1 1
/TEST = "L vs. M Educ for for Quadratic Session" c1sess*c1sess*educgrp -1 1 0.
Resources Processor Time 00:00:00.22
Elapsed Time 00:00:00.31
Variables Created prededuc Fixed Predicted Values


[example23] F:\QIPSR 2013\Download\SPSS\Example23.sav


Model Dimensiona
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
c1sess 1   1    
c1sess * c1sess 1   1    
age80 1   1    
c1sess * age80 1   1    
c1sess * c1sess * age80 1   1    
reas22 1   1    
c1sess * reas22 1   1    
educgrp 3   2    
educgrp * c1sess 3   2    
educgrp * c1sess * c1sess 3   2    
Random Effects Intercept + c1sess + c1sess * c1sessb 3 Unstructured 6 ID  
Repeated Effects session 6 Identity 1 ID 101
Total 26   21    
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.
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 Criteriaa
-2 Log Likelihood 8295.366
Akaike's Information Criterion (AIC) 8337.366
Hurvich and Tsai's Criterion (AICC) 8338.948
Bozdogan's Criterion (CAIC) 8450.910
Schwarz's Bayesian Criterion (BIC) 8429.910
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 100.139 1309.684 .000
c1sess 1 100.442 37.263 .000
c1sess * c1sess 1 101.000 18.346 .000
age80 1 102.358 5.618 .020
c1sess * age80 1 102.032 1.962 .164
c1sess * c1sess * age80 1 101.000 1.246 .267
reas22 1 101.000 11.575 .001
c1sess * reas22 1 101 5.412 .022
educgrp 2 100.884 .240 .787
educgrp * c1sess 2 100.937 .961 .386
educgrp * c1sess * c1sess 2 101.000 1.091 .340
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 1961.885914 101.789547 100.456 19.274 .000 1759.949578 2163.822251
c1sess -106.498718 40.283393 100.640 -2.644 .010 -186.413597 -26.583839
c1sess * c1sess 12.479659 6.848955 101.000 1.822 .071 -1.106826 26.066143
age80 20.289629 8.560336 102.358 2.370 .020 3.310955 37.268303
c1sess * age80 -4.575964 3.267253 102.032 -1.401 .164 -11.056520 1.904591
c1sess * c1sess * age80 .617686 .553420 101.000 1.116 .267 -.480151 1.715523
reas22 -36.621280 10.764162 101.000 -3.402 .001 -57.974482 -15.268079
c1sess * reas22 2.978327 1.280259 101 2.326 .022 .438637 5.518017
[educgrp=1.00] -51.376854 151.069754 101.123 -.340 .734 -351.054181 248.300474
[educgrp=2.00] 37.642537 120.873791 100.093 .311 .756 -202.164881 277.449956
[educgrp=3.00] 0b 0 . . . . .
[educgrp=1.00] * c1sess -70.245890 59.077958 101.085 -1.189 .237 -187.439470 46.947689
[educgrp=2.00] * c1sess -4.357662 48.132503 100.414 -.091 .928 -99.846351 91.131027
[educgrp=3.00] * c1sess 0b 0 . . . . .
[educgrp=1.00] * c1sess * c1sess 11.065259 10.032361 101.000 1.103 .273 -8.836247 30.966764
[educgrp=2.00] * c1sess * c1sess -1.464111 8.188444 101.000 -.179 .858 -17.707781 14.779558
[educgrp=3.00] * c1sess * c1sess 0b 0 . . . . .
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.
b. This parameter is set to zero because it is redundant.


Covariance Parameters


Estimates of Covariance Parametersa
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Variance 20298.185665 1649.114857 12.309 .000 17310.189510 23801.954396
Intercept + c1sess + c1sess * c1sess [subject = ID] UN (1,1) 228602.309448 34697.930050 6.588 .000 169778.519793 307806.994363
UN (2,1) -33285.505218 10914.350120 -3.050 .002 -54677.238369 -11893.772068
UN (2,2) 24143.433172 5618.707976 4.297 .000 15300.502833 38097.137831
UN (3,1) 4127.568901 1789.402808 2.307 .021 620.403843 7634.733958
UN (3,2) -3635.962853 939.933881 -3.868 .000 -5478.199407 -1793.726299
UN (3,3) 582.024848 164.455096 3.539 .000 334.525106 1012.638267
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

Random Effect Covariance Structure (G)a
  Intercept | ID c1sess | ID c1sess * c1sess | ID
Intercept | ID 228602.309448 -33285.505218 4127.568901
c1sess | ID -33285.505218 24143.433172 -3635.962853
c1sess * c1sess | ID 4127.568901 -3635.962853 582.024848
Unstructured
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 1 (L vs. H Educ for for Main Effect)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 51.376854 151.069754 101.123 0 .340 .734 -248.300474 351.054181
a. L vs. H Educ for for Main Effect
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 2 (M vs. H Educ for for Main Effect)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -37.642537 120.873791 100.093 0 -.311 .756 -277.449956 202.164881
a. M vs. H Educ for for Main Effect
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 3 (L vs. M Educ for for Main Effect)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 89.019391 130.749235 101.558 0 .681 .498 -170.334639 348.373421
a. L vs. M Educ for for Main Effect
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 4 (L vs. H Educ for for Linear Session)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 70.245890 59.077958 101.085 0 1.189 .237 -46.947689 187.439470
a. L vs. H Educ for for Linear Session
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 5 (M vs. H Educ for for Linear Session)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 4.357662 48.132503 100.414 0 .091 .928 -91.131027 99.846351
a. M vs. H Educ for for Linear Session
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 6 (L vs. M Educ for for Linear Session)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 65.888228 50.713967 101.399 0 1.299 .197 -34.709845 166.486302
a. L vs. M Educ for for Linear Session
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 7 (L vs. H Educ for for Quadratic Session)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -11.065259 10.032361 101.000 0 -1.103 .273 -30.966764 8.836247
a. L vs. H Educ for for Quadratic Session
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 8 (M vs. H Educ for for Quadratic Session)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 1.464111 8.188444 101.000 0 .179 .858 -14.779558 17.707781
a. M vs. H Educ for for Quadratic Session
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Custom Hypothesis Test 9 (L vs. M Educ for for Quadratic Session)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 -12.529370 8.604767 101.000 0 -1.456 .148 -29.598914 4.540174
a. L vs. M Educ for for Quadratic Session
b. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


Estimated Marginal Means



1. educgrp: Education Group (1=HS, 2=BA, 3=GRAD)


Estimatesa
educgrp: Education Group (1=HS, 2=BA, 3=GRAD) Mean Std. Error df 95% Confidence Interval
Lower Bound Upper Bound
1.00 1884.284b 110.936 101.349 1664.226 2104.342
2.00 1973.304b 66.569 100.366 1841.239 2105.369
3.00 1935.661b 101.248 100.173 1734.792 2136.530
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.
b. Covariates appearing in the model are evaluated at the following values: c1sess: Session Centered at 1 = .00, age80: Age Centered (0=80) = -.1667, reas22: Abstract Reasoning Centered (0=22) = .6238.

Pairwise Comparisonsa
(I) educgrp: Education Group (1=HS, 2=BA, 3=GRAD) (J) educgrp: Education Group (1=HS, 2=BA, 3=GRAD) Mean Difference (I-J) Std. Error df Sig.b 95% Confidence Interval for Differenceb
Lower Bound Upper Bound
1.00 2.00 -89.019 130.749 101.558 .498 -348.373 170.335
3.00 -51.377 151.070 101.123 .734 -351.054 248.300
2.00 1.00 89.019 130.749 101.558 .498 -170.335 348.373
3.00 37.643 120.874 100.093 .756 -202.165 277.450
3.00 1.00 51.377 151.070 101.123 .734 -248.300 351.054
2.00 -37.643 120.874 100.093 .756 -277.450 202.165
Based on estimated marginal means
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.
b. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).

Univariate Testsa
Numerator df Denominator df F Sig.
2 100.869 .240 .787
The F tests the effect of educgrp: Education Group (1=HS, 2=BA, 3=GRAD). This test is based on the linearly independent pairwise comparisons among the estimated marginal means.a
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.


2. educgrp: Education Group (1=HS, 2=BA, 3=GRAD)


Estimatesa
educgrp: Education Group (1=HS, 2=BA, 3=GRAD) Mean Std. Error df 95% Confidence Interval
Lower Bound Upper Bound
1.00 1599.713b 94.544 101.081 1412.165 1787.260
2.00 1704.939b 56.609 100.851 1592.640 1817.237
3.00 1725.687b 86.063 100.806 1554.957 1896.418
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.
b. Covariates appearing in the model are evaluated at the following values: c1sess: Session Centered at 1 = 5.00, age80: Age Centered (0=80) = -.1667, reas22: Abstract Reasoning Centered (0=22) = .6238.

Pairwise Comparisonsa
(I) educgrp: Education Group (1=HS, 2=BA, 3=GRAD) (J) educgrp: Education Group (1=HS, 2=BA, 3=GRAD) Mean Difference (I-J) Std. Error df Sig.b 95% Confidence Interval for Differenceb
Lower Bound Upper Bound
1.00 2.00 -105.226 111.482 101.128 .347 -326.374 115.921
3.00 -125.975 128.681 101.029 .330 -381.242 129.293
2.00 1.00 105.226 111.482 101.128 .347 -115.921 326.374
3.00 -20.749 102.728 100.787 .840 -224.539 183.042
3.00 1.00 125.975 128.681 101.029 .330 -129.293 381.242
2.00 20.749 102.728 100.787 .840 -183.042 224.539
Based on estimated marginal means
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.
b. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).

Univariate Testsa
Numerator df Denominator df F Sig.
2 100.969 .564 .571
The F tests the effect of educgrp: Education Group (1=HS, 2=BA, 3=GRAD). This test is based on the linearly independent pairwise comparisons among the estimated marginal means.a
a. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

CORRELATIONS nm3rt prededuc.



Correlations


Notes
Output Created 03-MAY-2013 11:26:29
Comments  
Input Data F:\QIPSR 2013\Download\SPSS\Example23.sav
Active Dataset example23
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 606
Missing Value Handling Definition of Missing User-defined missing values are treated as missing.
Cases Used Statistics for each pair of variables are based on all the cases with valid data for that pair.
Syntax CORRELATIONS nm3rt prededuc.
Resources Processor Time 00:00:00.03
Elapsed Time 00:00:00.08


[example23] F:\QIPSR 2013\Download\SPSS\Example23.sav


Correlations
  nm3rt: Number-Match 3 RT in ms Fixed Predicted Values
nm3rt: Number-Match 3 RT in ms Pearson Correlation 1 .415
Sig. (2-tailed)   .000
N 606 606
Fixed Predicted Values Pearson Correlation .415 1
Sig. (2-tailed) .000  
N 606 606