* Define locations of files used in examples -- CHANGE THIS.
FILE HANDLE example /NAME = "F:\13_ICPSR\Download\SPSS".

* SPSS code to import data.
GET FILE = "example/Example5.sav".
DATASET NAME example5 WINDOW=FRONT.

* Adding another version of predictors to be coded 0/1 for low/high.
RECODE freq size (-.5=0) (.5=1) INTO freq01 size01.
EXECUTE.

******************************************************************************
******                   EXAMPLE 5 MODELS                    ******
******************************************************************************.
DATASET ACTIVATE example5 WINDOW=FRONT.

TITLE "SPSS Empty Means Model: No Random Intercepts (E only)".


SPSS Empty Means Model: No Random Intercepts (E only)


MIXED rt BY Subject Item
   /METHOD = REML
   /PRINT  = SOLUTION TESTCOV
   /FIXED  = .



Mixed Model Analysis


Notes
Output Created 02-JUL-2013 11:15:25
Comments  
Input Data F:\13_ICPSR\Download\SPSS\Example5.sav
Active Dataset example5
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 1392
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 rt BY Subject Item
/METHOD = REML
/PRINT = SOLUTION TESTCOV
/FIXED = .
Resources Processor Time 00:00:00.00
Elapsed Time 00:00:00.05


[example5] F:\13_ICPSR\Download\SPSS\Example5.sav


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

Model Dimensiona
  Number of Levels Number of Parameters
Fixed Effects Intercept 1 1
Residual   1
Total 1 2
a. Dependent Variable: Response Time in Milliseconds.

Information Criteriaa
-2 Restricted Log Likelihood 17820.703
Akaike's Information Criterion (AIC) 17822.703
Hurvich and Tsai's Criterion (AICC) 17822.706
Bozdogan's Criterion (CAIC) 17828.941
Schwarz's Bayesian Criterion (BIC) 17827.941
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: Response Time in Milliseconds.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 1391 26085.502 .000
a. Dependent Variable: Response Time in Milliseconds.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 632.382902 3.915440 1391 161.510 .000 624.702099 640.063706
a. Dependent Variable: Response Time in Milliseconds.


Covariance Parameters


Estimates of Covariance Parametersa
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Residual 21340.288219 809.192248 26.372 .000 19811.801766 22986.697861
a. Dependent Variable: Response Time in Milliseconds.

TITLE.




TITLE "SPSS Random Intercept for Subjects Model".


SPSS Random Intercept for Subjects Model


MIXED rt BY Subject Item
   /METHOD = REML
   /PRINT  = SOLUTION TESTCOV
   /FIXED  =
   /RANDOM = INTERCEPT | SUBJECT(Subject) COVTYPE(UN).



Mixed Model Analysis


Notes
Output Created 02-JUL-2013 11:15:25
Comments  
Input Data F:\13_ICPSR\Download\SPSS\Example5.sav
Active Dataset example5
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 1392
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 rt BY Subject Item
/METHOD = REML
/PRINT = SOLUTION TESTCOV
/FIXED =
/RANDOM = INTERCEPT | SUBJECT(Subject) COVTYPE(UN).
Resources Processor Time 00:00:00.03
Elapsed Time 00:00:00.06


[example5] F:\13_ICPSR\Download\SPSS\Example5.sav


Warnings
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 Dimensiona
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
Random Effects Intercept 1 Identity 1 subject
Residual     1  
Total 2   3  
a. Dependent Variable: Response Time in Milliseconds.

Information Criteriaa
-2 Restricted Log Likelihood 17540.265
Akaike's Information Criterion (AIC) 17544.265
Hurvich and Tsai's Criterion (AICC) 17544.273
Bozdogan's Criterion (CAIC) 17556.740
Schwarz's Bayesian Criterion (BIC) 17554.740
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: Response Time in Milliseconds.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 37.004 2698.945 .000
a. Dependent Variable: Response Time in Milliseconds.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 631.416650 12.153993 37.004 51.951 .000 606.790400 656.042900
a. Dependent Variable: Response Time in Milliseconds.


Covariance Parameters


Estimates of Covariance Parametersa
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Residual 16307.206194 626.735712 26.019 .000 15123.951954 17583.034822
Intercept [subject = subject] Variance 5167.095849 1305.102184 3.959 .000 3149.564504 8477.006735
a. Dependent Variable: Response Time in Milliseconds.

TITLE.




TITLE "SPSS Random Intercepts for Subjects and Items: Crossed Model".


SPSS Random Intercepts for Subjects and Items: Crossed Model


MIXED rt BY Subject Item
   /METHOD = REML
   /PRINT  = SOLUTION TESTCOV
   /FIXED  =
   /RANDOM = INTERCEPT | SUBJECT(Subject) COVTYPE(UN)
   /RANDOM = INTERCEPT | SUBJECT(Item) COVTYPE(UN).



Mixed Model Analysis


Notes
Output Created 02-JUL-2013 11:15:25
Comments  
Input Data F:\13_ICPSR\Download\SPSS\Example5.sav
Active Dataset example5
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 1392
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 rt BY Subject Item
/METHOD = REML
/PRINT = SOLUTION TESTCOV
/FIXED =
/RANDOM = INTERCEPT | SUBJECT(Subject) COVTYPE(UN)
/RANDOM = INTERCEPT | SUBJECT(Item) COVTYPE(UN).
Resources Processor Time 00:00:00.13
Elapsed Time 00:00:00.45


[example5] F:\13_ICPSR\Download\SPSS\Example5.sav


Warnings
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.
The covariance structure for random effect with only one level will be changed to Identity.

Model Dimensiona
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
Random Effects Intercept 1 Identity 1 subject
Intercept 1 Identity 1 item
Residual     1  
Total 3   4  
a. Dependent Variable: Response Time in Milliseconds.

Information Criteriaa
-2 Restricted Log Likelihood 17439.865
Akaike's Information Criterion (AIC) 17445.865
Hurvich and Tsai's Criterion (AICC) 17445.883
Bozdogan's Criterion (CAIC) 17464.579
Schwarz's Bayesian Criterion (BIC) 17461.579
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: Response Time in Milliseconds.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 59.436 1937.371 .000
a. Dependent Variable: Response Time in Milliseconds.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 635.327726 14.434156 59.436 44.016 .000 606.449476 664.205976
a. Dependent Variable: Response Time in Milliseconds.


Covariance Parameters


Estimates of Covariance Parametersa
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Residual 14343.045155 559.960379 25.614 .000 13286.481550 15483.628494
Intercept [subject = subject] Variance 5166.696188 1292.716758 3.997 .000 3164.031182 8436.942613
Intercept [subject = item] Variance 2414.111146 680.217164 3.549 .000 1389.685887 4193.704980
a. Dependent Variable: Response Time in Milliseconds.

TITLE.




TITLE "SPSS Random Intercepts for Subjects and Items Crossed Predictive Model".

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


SPSS Random Intercepts for Subjects and Items Crossed Predic


SUBTITLE "Using BY statement to get cell means and comparisons via EMMEANS".

>Warning # 2004.  Command name: SUBTITLE
>The subtitle given exceeds 60 characters in length.  The first 60 characters
>will be used.


SPSS Random Intercepts for Subjects and Items Crossed Predic
Using BY statement to get cell means and comparisons via EMM


MIXED rt BY Subject Item freq01 size01
   /METHOD = REML
   /PRINT  = SOLUTION TESTCOV
   /FIXED  = freq01 size01 freq01*size01
   /RANDOM = INTERCEPT | SUBJECT(Subject) COVTYPE(UN)
   /RANDOM = INTERCEPT | SUBJECT(Item) COVTYPE(UN)
   /EMMEANS = TABLES(freq01)
   /EMMEANS = TABLES(size01)
   /EMMEANS = TABLES(freq01*size01) COMPARE(freq01)
   /EMMEANS = TABLES(freq01*size01) COMPARE(size01).



Mixed Model Analysis


Notes
Output Created 02-JUL-2013 11:15:26
Comments  
Input Data F:\13_ICPSR\Download\SPSS\Example5.sav
Active Dataset example5
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 1392
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 rt BY Subject Item freq01 size01
/METHOD = REML
/PRINT = SOLUTION TESTCOV
/FIXED = freq01 size01 freq01*size01
/RANDOM = INTERCEPT | SUBJECT(Subject) COVTYPE(UN)
/RANDOM = INTERCEPT | SUBJECT(Item) COVTYPE(UN)
/EMMEANS = TABLES(freq01)
/EMMEANS = TABLES(size01)
/EMMEANS = TABLES(freq01*size01) COMPARE(freq01)
/EMMEANS = TABLES(freq01*size01) COMPARE(size01).
Resources Processor Time 00:00:00.22
Elapsed Time 00:00:00.59


[example5] F:\13_ICPSR\Download\SPSS\Example5.sav


Warnings
The covariance structure for random effect with only one level will be changed to Identity.
The covariance structure for random effect with only one level will be changed to Identity.

Model Dimensiona
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
freq01 2   1  
size01 2   1  
freq01 * size01 4   1  
Random Effects Intercept 1 Identity 1 subject
Intercept 1 Identity 1 item
Residual     1  
Total 11   7  
a. Dependent Variable: Response Time in Milliseconds.

Information Criteriaa
-2 Restricted Log Likelihood 17402.447
Akaike's Information Criterion (AIC) 17408.447
Hurvich and Tsai's Criterion (AICC) 17408.465
Bozdogan's Criterion (CAIC) 17427.154
Schwarz's Bayesian Criterion (BIC) 17424.154
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: Response Time in Milliseconds.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 53.854 2122.653 .000
freq01 1 31.777 5.360 .027
size01 1 31.781 4.622 .039
freq01 * size01 1 31.781 6.012 .020
a. Dependent Variable: Response Time in Milliseconds.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 618.207726 19.151364 58.826 32.280 .000 579.883557 656.531895
[freq01=.00] 2.009733 20.947786 31.194 .096 .924 -40.702794 44.722261
[freq01=1.00] 0b 0 . . . . .
[size01=.00] 67.595626 21.119320 32.151 3.201 .003 24.584900 110.606352
[size01=1.00] 0b 0 . . . . .
[freq01=.00] * [size01=.00] -72.030574 29.378049 31.781 -2.452 .020 -131.887905 -12.173243
[freq01=.00] * [size01=1.00] 0b 0 . . . . .
[freq01=1.00] * [size01=.00] 0b 0 . . . . .
[freq01=1.00] * [size01=1.00] 0b 0 . . . . .
a. Dependent Variable: Response Time in Milliseconds.
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
Residual 14341.038968 559.786607 25.619 .000 13284.796444 15481.260819
Intercept [subject = subject] Variance 5168.472035 1293.103401 3.997 .000 3165.187920 8439.657882
Intercept [subject = item] Variance 1692.415074 526.770726 3.213 .001 919.532574 3114.918238
a. Dependent Variable: Response Time in Milliseconds.


Estimated Marginal Means


1. freq01a
freq01 Mean Std. Error df 95% Confidence Interval
Lower Bound Upper Bound
.00 618.000 15.501 62.462 587.018 648.982
1.00 652.006 15.733 63.506 620.571 683.440
a. Dependent Variable: Response Time in Milliseconds.

2. size01a
size01 Mean Std. Error df 95% Confidence Interval
Lower Bound Upper Bound
.00 650.793 15.559 63.345 619.703 681.883
1.00 619.213 15.675 62.646 587.884 650.541
a. Dependent Variable: Response Time in Milliseconds.


3. freq01 * size01


Estimatesa
freq01 size01 Mean Std. Error df 95% Confidence Interval
Lower Bound Upper Bound
.00 .00 615.783 18.575 60.661 578.636 652.929
1.00 620.217 18.549 60.333 583.118 657.317
1.00 .00 685.803 18.742 62.663 648.346 723.261
1.00 618.208 19.151 58.826 579.884 656.532
a. Dependent Variable: Response Time in Milliseconds.

Pairwise Comparisonsa
size01 (I) freq01 (J) freq01 Mean Difference (I-J) Std. Error df Sig.c 95% Confidence Interval for Differencec
Lower Bound Upper Bound
.00 .00 1.00 -70.021* 20.597 32.401 .002 -111.955 -28.087
1.00 .00 70.021* 20.597 32.401 .002 28.087 111.955
1.00 .00 1.00 2.010 20.948 31.194 .924 -40.703 44.722
1.00 .00 -2.010 20.948 31.194 .924 -44.722 40.703
Based on estimated marginal means
*. The mean difference is significant at the .05 level.
a. Dependent Variable: Response Time in Milliseconds.
c. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).

Univariate Testsa
size01 Numerator df Denominator df F Sig.
.00 1 32.401 11.557 .002
1.00 1 31.194 .009 .924
Each F tests the simple effects of freq01 within each level combination of the other effects shown. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means.
a. Dependent Variable: Response Time in Milliseconds.


4. freq01 * size01


Estimatesa
freq01 size01 Mean Std. Error df 95% Confidence Interval
Lower Bound Upper Bound
.00 .00 615.783 18.575 60.661 578.636 652.929
1.00 620.217 18.549 60.333 583.118 657.317
1.00 .00 685.803 18.742 62.663 648.346 723.261
1.00 618.208 19.151 58.826 579.884 656.532
a. Dependent Variable: Response Time in Milliseconds.

Pairwise Comparisonsa
freq01 (I) size01 (J) size01 Mean Difference (I-J) Std. Error df Sig.c 95% Confidence Interval for Differencec
Lower Bound Upper Bound
.00 .00 1.00 -4.435 20.422 31.392 .829 -46.065 37.195
1.00 .00 4.435 20.422 31.392 .829 -37.195 46.065
1.00 .00 1.00 67.596* 21.119 32.151 .003 24.585 110.606
1.00 .00 -67.596* 21.119 32.151 .003 -110.606 -24.585
Based on estimated marginal means
*. The mean difference is significant at the .05 level.
a. Dependent Variable: Response Time in Milliseconds.
c. Adjustment for multiple comparisons: Least Significant Difference (equivalent to no adjustments).

Univariate Testsa
freq01 Numerator df Denominator df F Sig.
.00 1 31.392 .047 .829
1.00 1 32.151 10.244 .003
Each F tests the simple effects of size01 within each level combination of the other effects shown. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means.
a. Dependent Variable: Response Time in Milliseconds.

TITLE.



SUBTITLE.




TITLE "SPSS Dropping Random Item Intercept".


SPSS Dropping Random Item Intercept


MIXED rt BY Subject Item freq01 size01
   /METHOD = REML
   /PRINT  = SOLUTION TESTCOV
   /FIXED  = freq01 size01 freq01*size01
   /RANDOM = INTERCEPT | SUBJECT(Subject) COVTYPE(UN).



Mixed Model Analysis


Notes
Output Created 02-JUL-2013 11:15:26
Comments  
Input Data F:\13_ICPSR\Download\SPSS\Example5.sav
Active Dataset example5
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 1392
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 rt BY Subject Item freq01 size01
/METHOD = REML
/PRINT = SOLUTION TESTCOV
/FIXED = freq01 size01 freq01*size01
/RANDOM = INTERCEPT | SUBJECT(Subject) COVTYPE(UN).
Resources Processor Time 00:00:00.02
Elapsed Time 00:00:00.08


[example5] F:\13_ICPSR\Download\SPSS\Example5.sav


Warnings
The covariance structure for random effect with only one level will be changed to Identity.

Model Dimensiona
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
freq01 2   1  
size01 2   1  
freq01 * size01 4   1  
Random Effects Intercept 1 Identity 1 subject
Residual     1  
Total 10   6  
a. Dependent Variable: Response Time in Milliseconds.

Information Criteriaa
-2 Restricted Log Likelihood 17466.439
Akaike's Information Criterion (AIC) 17470.439
Hurvich and Tsai's Criterion (AICC) 17470.447
Bozdogan's Criterion (CAIC) 17482.910
Schwarz's Bayesian Criterion (BIC) 17480.910
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: Response Time in Milliseconds.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 37.021 2713.236 .000
freq01 1 1351.312 20.218 .000
size01 1 1351.380 15.967 .000
freq01 * size01 1 1351.388 23.062 .000
a. Dependent Variable: Response Time in Milliseconds.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 618.003421 13.520869 56.829 45.707 .000 590.926583 645.080258
[freq01=.00] 2.063022 9.441030 1351.114 .219 .827 -16.457648 20.583693
[freq01=1.00] 0b 0 . . . . .
[size01=.00] 59.206965 9.763967 1351.547 6.064 .000 40.052788 78.361142
[size01=1.00] 0b 0 . . . . .
[freq01=.00] * [size01=.00] -64.634293 13.459164 1351.388 -4.802 .000 -91.037417 -38.231169
[freq01=.00] * [size01=1.00] 0b 0 . . . . .
[freq01=1.00] * [size01=.00] 0b 0 . . . . .
[freq01=1.00] * [size01=1.00] 0b 0 . . . . .
a. Dependent Variable: Response Time in Milliseconds.
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
Residual 15688.046349 603.608405 25.990 .000 14548.502640 16916.847345
Intercept [subject = subject] Variance 5171.988151 1302.293769 3.971 .000 3157.381696 8472.039178
a. Dependent Variable: Response Time in Milliseconds.

TITLE.




TITLE "SPSS Random Slope for Effect of Freq over Subjects".


SPSS Random Slope for Effect of Freq over Subjects


SUBTITLE "Removed Freq and Size from BY statement to fit random slope".


SPSS Random Slope for Effect of Freq over Subjects
Removed Freq and Size from BY statement to fit random slope


MIXED rt BY Subject Item WITH freq01 size01
   /METHOD = REML
   /PRINT  = SOLUTION TESTCOV
   /FIXED  = freq01 size01 freq01*size01
   /RANDOM = INTERCEPT freq01 | SUBJECT(Subject) COVTYPE(UN)
   /RANDOM = INTERCEPT | SUBJECT(Item) COVTYPE(UN).



Mixed Model Analysis


Notes
Output Created 02-JUL-2013 11:15:26
Comments  
Input Data F:\13_ICPSR\Download\SPSS\Example5.sav
Active Dataset example5
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data File 1392
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 rt BY Subject Item WITH freq01 size01
/METHOD = REML
/PRINT = SOLUTION TESTCOV
/FIXED = freq01 size01 freq01*size01
/RANDOM = INTERCEPT freq01 | SUBJECT(Subject) COVTYPE(UN)
/RANDOM = INTERCEPT | SUBJECT(Item) COVTYPE(UN).
Resources Processor Time 00:00:00.37
Elapsed Time 00:00:01.37


[example5] F:\13_ICPSR\Download\SPSS\Example5.sav


Warnings
The covariance structure for random effect with only one level will be changed to Identity.

Model Dimensiona
  Number of Levels Covariance Structure Number of Parameters Subject Variables
Fixed Effects Intercept 1   1  
freq01 1   1  
size01 1   1  
freq01 * size01 1   1  
Random Effects Intercept + freq01b 2 Unstructured 3 subject
Interceptb 1 Identity 1 item
Residual     1  
Total 7   9  
a. Dependent Variable: Response Time in Milliseconds.
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 Restricted Log Likelihood 17397.573
Akaike's Information Criterion (AIC) 17407.573
Hurvich and Tsai's Criterion (AICC) 17407.616
Bozdogan's Criterion (CAIC) 17438.751
Schwarz's Bayesian Criterion (BIC) 17433.751
The information criteria are displayed in smaller-is-better forms.
a. Dependent Variable: Response Time in Milliseconds.


Fixed Effects


Type III Tests of Fixed Effectsa
Source Numerator df Denominator df F Sig.
Intercept 1 55.823 1178.579 .000
freq01 1 33.532 11.212 .002
size01 1 31.393 .047 .829
freq01 * size01 1 31.784 6.002 .020
a. Dependent Variable: Response Time in Milliseconds.

Estimates of Fixed Effectsa
Parameter Estimate Std. Error df t Sig. 95% Confidence Interval
Lower Bound Upper Bound
Intercept 615.849527 17.938879 55.823 34.330 .000 579.911115 651.787939
freq01 69.845213 20.859538 33.532 3.348 .002 27.431708 112.258718
size01 4.443322 20.447926 31.393 .217 .829 -37.239364 46.126009
freq01 * size01 -72.068788 29.416249 31.784 -2.450 .020 -132.003692 -12.133884
a. Dependent Variable: Response Time in Milliseconds.


Covariance Parameters


Estimates of Covariance Parametersa
Parameter Estimate Std. Error Wald Z Sig. 95% Confidence Interval
Lower Bound Upper Bound
Residual 14244.420795 563.573340 25.275 .000 13181.578916 15392.960515
Intercept + freq01 [subject = subject] UN (1,1) 4266.009507 1163.641605 3.666 .000 2499.419402 7281.225833
UN (2,1) 872.281398 512.695308 1.701 .089 -132.582941 1877.145736
UN (2,2) 371.653931 447.450882 .831 .406 35.102570 3934.943948
Intercept [subject = item] Variance 1700.411356 528.092211 3.220 .001 925.121146 3125.427187
a. Dependent Variable: Response Time in Milliseconds.

TITLE.



SUBTITLE.