* Define locations of files used in examples -- CHANGE THIS.
FILE HANDLE example /NAME = "C:\Dropbox\14_Psyc930MLM\Download\SPSS".

* SPSS code to import data.
GET FILE = "example/Example4.sav".
DATASET NAME Example4 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 4 MODELS                    ******
******************************************************************************.

DATASET ACTIVATE Example4 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

9-MAY-2014 11:15:25

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\Download\SPSS\Example4.sav

Active Dataset

Example4

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


[Example4] C:\Dropbox\14_Psyc930MLM\Download\SPSS\Example4.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

9-MAY-2014 11:15:25

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\Download\SPSS\Example4.sav

Active Dataset

Example4

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


[Example4] C:\Dropbox\14_Psyc930MLM\Download\SPSS\Example4.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

9-MAY-2014 11:15:25

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\Download\SPSS\Example4.sav

Active Dataset

Example4

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


[Example4] C:\Dropbox\14_Psyc930MLM\Download\SPSS\Example4.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

9-MAY-2014 11:15:26

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\Download\SPSS\Example4.sav

Active Dataset

Example4

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


[Example4] C:\Dropbox\14_Psyc930MLM\Download\SPSS\Example4.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

9-MAY-2014 11:15:26

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\Download\SPSS\Example4.sav

Active Dataset

Example4

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


[Example4] C:\Dropbox\14_Psyc930MLM\Download\SPSS\Example4.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

9-MAY-2014 11:15:26

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\Download\SPSS\Example4.sav

Active Dataset

Example4

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


[Example4] C:\Dropbox\14_Psyc930MLM\Download\SPSS\Example4.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.