TITLE "Means by group and time for learning outcome".


Means by group and time for learning outcome


SUMMARIZE
  /TABLES = outcome BY group BY time
  /FORMAT = NOLIST TOTAL
  /CELLS = COUNT MEAN SEMEAN MIN MAX.



Summarize


Notes
Output Created 25-JUN-2013 14:43:32
Comments  
Input Data F:\13_ICPSR\Download\SPSS\Example1.sav
Active Dataset example1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 100
Missing Value Handling Definition of Missing For each dependent variable in a table, user-defined missing values for the dependent and all grouping variables are treated as missing.
Cases Used Cases used for each table have no missing values in any independent variable, and not all dependent variables have missing values.
Syntax SUMMARIZE
/TABLES = outcome BY group BY time
/FORMAT = NOLIST TOTAL
/CELLS = COUNT MEAN SEMEAN MIN MAX.
Resources Processor Time 00:00:00.03
Elapsed Time 00:00:00.03


[example1] F:\13_ICPSR\Download\SPSS\Example1.sav


Case Processing Summary
  Cases
Included Excluded Total
N Percent N Percent N Percent
Learning Outcome * Treatment Group (1=control, 2=treatment) * Time (1=pre-test 2=post-test) 100 100.0% 0 0.0% 100 100.0%

Report
Learning Outcome
Treatment Group (1=control, 2=treatment) Time (1=pre-test 2=post-test) N Mean Std. Error of Mean Minimum Maximum
1 1 25 49.0768 1.13706 37.53 59.55
2 25 54.8992 1.12565 44.56 67.11
Total 50 51.9880 .89437 37.53 67.11
2 1 25 50.7587 .90708 40.53 62.13
2 25 58.6236 .98648 47.43 68.62
Total 50 54.6912 .86915 40.53 68.62
Total 1 50 49.9178 .72977 37.53 62.13
2 50 56.7614 .78702 44.56 68.62
Total 100 53.3396 .63510 37.53 68.62

TITLE.




TITLE "SPSS Between-Person Empty Means Model via MIXED".


SPSS Between-Person Empty Means Model via MIXED


MIXED outcome BY PersonID time
 /METHOD = REML
 /PRINT = SOLUTION TESTCOV R
 /FIXED =
 /REPEATED = time | SUBJECT(PersonID) COVTYPE(ID).



Mixed Model Analysis


Notes
Output Created 25-JUN-2013 14:43:32
Comments  
Input Data F:\13_ICPSR\Download\SPSS\Example1.sav
Active Dataset example1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 100
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 outcome BY PersonID time
/METHOD = REML
/PRINT = SOLUTION TESTCOV R
/FIXED =
/REPEATED = time | SUBJECT(PersonID) COVTYPE(ID).
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.02


[example1] F:\13_ICPSR\Download\SPSS\Example1.sav


Warnings
A(n) FIXED subcommand has no specifications and will therefore be ignored.

Model Dimensiona
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Repeated Effects time 2 Identity 1 PersonID 50
Total 3   2    
a. Dependent Variable: Learning Outcome.

Information Criteriaa
-2 Restricted Log Likelihood 651.580
Akaike's Information Criterion (AIC) 653.580
Hurvich and Tsai's Criterion (AICC) 653.622
Bozdogan's Criterion (CAIC) 657.176
Schwarz's Bayesian Criterion (BIC) 656.176
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: Learning Outcome.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 99 7053.654 .000
a. Dependent Variable: Learning Outcome.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 53.339583 .635101 99 83.986 .000 52.079405 54.599760
a. Dependent Variable: Learning Outcome.


Covariance Parameters


Estimates of Covariance Parametersa
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Variance 40.335282 5.733007 7.036 .000 30.528157 53.292933
a. Dependent Variable: Learning Outcome.

Residual Covariance (R) Matrixa
  [time = 1] [time = 2]
[time = 1] 40.335282 0
[time = 2] 0 40.335282
Identity
a. Dependent Variable: Learning Outcome.

TITLE.




TITLE "SPSS Within-Person Empty Means Model via MIXED".


SPSS Within-Person Empty Means Model via MIXED


MIXED outcome BY PersonID time
 /METHOD = REML
 /PRINT = SOLUTION TESTCOV R
 /FIXED =
 /REPEATED = time | SUBJECT(PersonID) COVTYPE(CS).



Mixed Model Analysis


Notes
Output Created 25-JUN-2013 14:43:32
Comments  
Input Data F:\13_ICPSR\Download\SPSS\Example1.sav
Active Dataset example1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 100
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 outcome BY PersonID time
/METHOD = REML
/PRINT = SOLUTION TESTCOV R
/FIXED =
/REPEATED = time | SUBJECT(PersonID) COVTYPE(CS).
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.02


[example1] F:\13_ICPSR\Download\SPSS\Example1.sav


Warnings
A(n) FIXED subcommand has no specifications and will therefore be ignored.

Model Dimensiona
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
Repeated Effects time 2 Compound Symmetry 2 PersonID 50
Total 3   3    
a. Dependent Variable: Learning Outcome.

Information Criteriaa
-2 Restricted Log Likelihood 646.809
Akaike's Information Criterion (AIC) 650.809
Hurvich and Tsai's Criterion (AICC) 650.934
Bozdogan's Criterion (CAIC) 658.000
Schwarz's Bayesian Criterion (BIC) 656.000
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: Learning Outcome.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 49.000 5397.495 .000
a. Dependent Variable: Learning Outcome.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 53.339583 .726028 49.000 73.468 .000 51.880575 54.798591
a. Dependent Variable: Learning Outcome.


Covariance Parameters


Estimates of Covariance Parametersa
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures CS diagonal offset 28.206400 5.641280 5.000 .000 19.059318 41.743414
CS covariance 12.252647 6.025635 2.033 .042 .442618 24.062675
a. Dependent Variable: Learning Outcome.

Residual Covariance (R) Matrixa
  [time = 1] [time = 2]
[time = 1] 40.459046 12.252647
[time = 2] 12.252647 40.459046
Compound Symmetry
a. Dependent Variable: Learning Outcome.

TITLE.




TITLE "SPSS Between-Person Conditional Model via MIXED".


SPSS Between-Person Conditional Model via MIXED


MIXED outcome BY PersonID time WITH time1 treat
 /METHOD = REML
 /PRINT = SOLUTION TESTCOV R
 /FIXED = time1 treat time1*treat
 /REPEATED = time | SUBJECT(PersonID) COVTYPE(ID)
 /TEST "Mean: Control Group at Pre-Test"    intercept 1 time1 0 treat 0 time1*treat 0
 /TEST "Mean: Control Group at Post-Test"   intercept 1 time1 1 treat 0 time1*treat 0
 /TEST "Mean: Treatment Group at Pre-Test"  intercept 1 time1 0 treat 1 time1*treat 0
 /TEST "Mean: Treatment Group at Post-Test" intercept 1 time1 1 treat 1 time1*treat 1
 /TEST "Time Effect for Control Group"      time1 1 time1*treat 0
 /TEST "Time Effect for Treatment Group"    time1 1 time1*treat 1
 /TEST "Group Effect at Pre-Test"          treat 1 time1*treat 0
 /TEST "Group Effect at Post-Test"         treat 1 time1*treat 1.



Mixed Model Analysis


Notes
Output Created 25-JUN-2013 14:43:32
Comments  
Input Data F:\13_ICPSR\Download\SPSS\Example1.sav
Active Dataset example1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 100
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 outcome BY PersonID time WITH time1 treat
/METHOD = REML
/PRINT = SOLUTION TESTCOV R
/FIXED = time1 treat time1*treat
/REPEATED = time | SUBJECT(PersonID) COVTYPE(ID)
/TEST "Mean: Control Group at Pre-Test" intercept 1 time1 0 treat 0 time1*treat 0
/TEST "Mean: Control Group at Post-Test" intercept 1 time1 1 treat 0 time1*treat 0
/TEST "Mean: Treatment Group at Pre-Test" intercept 1 time1 0 treat 1 time1*treat 0
/TEST "Mean: Treatment Group at Post-Test" intercept 1 time1 1 treat 1 time1*treat 1
/TEST "Time Effect for Control Group" time1 1 time1*treat 0
/TEST "Time Effect for Treatment Group" time1 1 time1*treat 1
/TEST "Group Effect at Pre-Test" treat 1 time1*treat 0
/TEST "Group Effect at Post-Test" treat 1 time1*treat 1.
Resources Processor Time 00:00:00.03
Elapsed Time 00:00:00.05


[example1] F:\13_ICPSR\Download\SPSS\Example1.sav


Model Dimensiona
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
time1 1   1    
treat 1   1    
time1 * treat 1   1    
Repeated Effects time 2 Identity 1 PersonID 50
Total 6   5    
a. Dependent Variable: Learning Outcome.

Information Criteriaa
-2 Restricted Log Likelihood 602.507
Akaike's Information Criterion (AIC) 604.507
Hurvich and Tsai's Criterion (AICC) 604.550
Bozdogan's Criterion (CAIC) 608.071
Schwarz's Bayesian Criterion (BIC) 607.071
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: Learning Outcome.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 96 2211.730 .000
time1 1 96 15.565 .000
treat 1 96 1.299 .257
time1 * treat 1 96 .958 .330
a. Dependent Variable: Learning Outcome.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 49.076798 1.043542 96 47.029 .000 47.005382 51.148213
time1 5.822365 1.475792 96 3.945 .000 2.892941 8.751789
treat 1.681942 1.475792 96 1.140 .257 -1.247482 4.611366
time1 * treat 2.042527 2.087085 96 .979 .330 -2.100304 6.185358
a. Dependent Variable: Learning Outcome.


Covariance Parameters


Estimates of Covariance Parametersa
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures Variance 27.224523 3.929521 6.928 .000 20.516342 36.126064
a. Dependent Variable: Learning Outcome.

Residual Covariance (R) Matrixa
  [time = 1] [time = 2]
[time = 1] 27.224523 0
[time = 2] 0 27.224523
Identity
a. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 1 (Mean: Control Group at Pre-Test)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 49.076798 1.043542 96 0 47.029 .000 47.005382 51.148213
a. Mean: Control Group at Pre-Test
b. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 2 (Mean: Control Group at Post-Test)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 54.899163 1.043542 96 0 52.608 .000 52.827747 56.970578
a. Mean: Control Group at Post-Test
b. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 3 (Mean: Treatment Group at Pre-Test)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 50.758740 1.043542 96 0 48.641 .000 48.687324 52.830155
a. Mean: Treatment Group at Pre-Test
b. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 4 (Mean: Treatment Group at Post-Test)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 58.623631 1.043542 96 0 56.178 .000 56.552216 60.695047
a. Mean: Treatment Group at Post-Test
b. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 5 (Time Effect for Control Group)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 5.822365 1.475792 96 0 3.945 .000 2.892941 8.751789
a. Time Effect for Control Group
b. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 6 (Time Effect for Treatment Group)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 7.864892 1.475792 96 0 5.329 .000 4.935468 10.794316
a. Time Effect for Treatment Group
b. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 7 (Group Effect at Pre-Test)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 1.681942 1.475792 96 0 1.140 .257 -1.247482 4.611366
a. Group Effect at Pre-Test
b. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 8 (Group Effect at Post-Test)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 3.724468 1.475792 96 0 2.524 .013 .795045 6.653892
a. Group Effect at Post-Test
b. Dependent Variable: Learning Outcome.

TITLE.




TITLE "SPSS Within-Person Conditional Model via MIXED".


SPSS Within-Person Conditional Model via MIXED


MIXED outcome BY PersonID time WITH time1 treat
 /METHOD = REML
 /PRINT = SOLUTION TESTCOV R
 /FIXED = time1 treat time1*treat
 /REPEATED = time | SUBJECT(PersonID) COVTYPE(CS)
 /TEST "Mean: Control Group at Pre-Test"    intercept 1 time1 0 treat 0 time1*treat 0
 /TEST "Mean: Control Group at Post-Test"   intercept 1 time1 1 treat 0 time1*treat 0
 /TEST "Mean: Treatment Group at Pre-Test"  intercept 1 time1 0 treat 1 time1*treat 0
 /TEST "Mean: Treatment Group at Post-Test" intercept 1 time1 1 treat 1 time1*treat 1
 /TEST "Time Effect for Control Group"      time1 1 time1*treat 0
 /TEST "Time Effect for Treatment Group"    time1 1 time1*treat 1
 /TEST "Group Effect at Pre-Test"          treat 1 time1*treat 0
 /TEST "Group Effect at Post-Test"         treat 1 time1*treat 1.



Mixed Model Analysis


Notes
Output Created 25-JUN-2013 14:43:32
Comments  
Input Data F:\13_ICPSR\Download\SPSS\Example1.sav
Active Dataset example1
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 100
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 outcome BY PersonID time WITH time1 treat
/METHOD = REML
/PRINT = SOLUTION TESTCOV R
/FIXED = time1 treat time1*treat
/REPEATED = time | SUBJECT(PersonID) COVTYPE(CS)
/TEST "Mean: Control Group at Pre-Test" intercept 1 time1 0 treat 0 time1*treat 0
/TEST "Mean: Control Group at Post-Test" intercept 1 time1 1 treat 0 time1*treat 0
/TEST "Mean: Treatment Group at Pre-Test" intercept 1 time1 0 treat 1 time1*treat 0
/TEST "Mean: Treatment Group at Post-Test" intercept 1 time1 1 treat 1 time1*treat 1
/TEST "Time Effect for Control Group" time1 1 time1*treat 0
/TEST "Time Effect for Treatment Group" time1 1 time1*treat 1
/TEST "Group Effect at Pre-Test" treat 1 time1*treat 0
/TEST "Group Effect at Post-Test" treat 1 time1*treat 1.
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.03


[example1] F:\13_ICPSR\Download\SPSS\Example1.sav


Model Dimensiona
  Number of Levels Covariance Structure Number of Parameters Subject Variables Number of Subjects
Fixed Effects Intercept 1   1    
time1 1   1    
treat 1   1    
time1 * treat 1   1    
Repeated Effects time 2 Compound Symmetry 2 PersonID 50
Total 6   6    
a. Dependent Variable: Learning Outcome.

Information Criteriaa
-2 Restricted Log Likelihood 544.699
Akaike's Information Criterion (AIC) 548.699
Hurvich and Tsai's Criterion (AICC) 548.828
Bozdogan's Criterion (CAIC) 555.828
Schwarz's Bayesian Criterion (BIC) 553.828
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: Learning Outcome.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 56.467 2211.730 .000
time1 1 48 95.330 .000
treat 1 56.467 1.299 .259
time1 * treat 1 48 5.866 .019
a. Dependent Variable: Learning Outcome.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 49.076798 1.043542 56.467 47.029 .000 46.986712 51.166883
time1 5.822365 .596328 48 9.764 .000 4.623367 7.021363
treat 1.681942 1.475792 56.467 1.140 .259 -1.273885 4.637769
time1 * treat 2.042527 .843335 48 2.422 .019 .346888 3.738165
a. Dependent Variable: Learning Outcome.


Covariance Parameters


Estimates of Covariance Parametersa
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Repeated Measures CS diagonal offset 4.445088 .907350 4.899 .000 2.979405 6.631796
CS covariance 22.779435 5.123633 4.446 .000 12.737300 32.821571
a. Dependent Variable: Learning Outcome.

Residual Covariance (R) Matrixa
  [time = 1] [time = 2]
[time = 1] 27.224523 22.779435
[time = 2] 22.779435 27.224523
Compound Symmetry
a. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 1 (Mean: Control Group at Pre-Test)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 49.076798 1.043542 56.467 0 47.029 .000 46.986712 51.166883
a. Mean: Control Group at Pre-Test
b. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 2 (Mean: Control Group at Post-Test)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 54.899163 1.043542 56.467 0 52.608 .000 52.809078 56.989248
a. Mean: Control Group at Post-Test
b. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 3 (Mean: Treatment Group at Pre-Test)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 50.758740 1.043542 56.467 0 48.641 .000 48.668654 52.848825
a. Mean: Treatment Group at Pre-Test
b. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 4 (Mean: Treatment Group at Post-Test)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 58.623631 1.043542 56.467 0 56.178 .000 56.533546 60.713717
a. Mean: Treatment Group at Post-Test
b. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 5 (Time Effect for Control Group)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 5.822365 .596328 48 0 9.764 .000 4.623367 7.021363
a. Time Effect for Control Group
b. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 6 (Time Effect for Treatment Group)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 7.864892 .596328 48 0 13.189 .000 6.665894 9.063890
a. Time Effect for Treatment Group
b. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 7 (Group Effect at Pre-Test)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 1.681942 1.475792 56.467 0 1.140 .259 -1.273885 4.637769
a. Group Effect at Pre-Test
b. Dependent Variable: Learning Outcome.


Custom Hypothesis Test 8 (Group Effect at Post-Test)


Contrast Estimatesa,b
Contrast Estimate Std. Error df Test Value t Sig. 95% Confidence Interval
Lower Bound Upper Bound
L1 3.724468 1.475792 56.467 0 2.524 .014 .768641 6.680296
a. Group Effect at Post-Test
b. Dependent Variable: Learning Outcome.

TITLE.