* 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

9-MAY-2014

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\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

00:00:00.05

Elapsed Time

00:00:00.03

Variables Created

predtime

Fixed Predicted Values


[example23] C:\Dropbox\14_Psyc930MLM\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

9-MAY-2014 13:21:58

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\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

00:00:00.05

Elapsed Time

00:00:00.06


[example23] C:\Dropbox\14_Psyc930MLM\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

9-MAY-2014 13:21:58

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\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

00:00:00.08

Elapsed Time

00:00:00.14

Variables Created

predage

Fixed Predicted Values


[example23] C:\Dropbox\14_Psyc930MLM\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

9-MAY-2014 13:21:59

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\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

00:00:00.02

Elapsed Time

00:00:00.08


[example23] C:\Dropbox\14_Psyc930MLM\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

9-MAY-2014 13:21:59

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\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

00:00:00.08

Elapsed Time

00:00:00.08

Variables Created

predreas

Fixed Predicted Values


[example23] C:\Dropbox\14_Psyc930MLM\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

9-MAY-2014 13:21:59

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\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

00:00:00.05

Elapsed Time

00:00:00.05


[example23] C:\Dropbox\14_Psyc930MLM\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

9-MAY-2014 13:22:00

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\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

00:00:00.11

Elapsed Time

00:00:00.14

Variables Created

predreas2

Fixed Predicted Values


[example23] C:\Dropbox\14_Psyc930MLM\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

9-MAY-2014 13:22:00

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\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

00:00:00.13

Elapsed Time

00:00:00.22


[example23] C:\Dropbox\14_Psyc930MLM\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

9-MAY-2014 13:22:01

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\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

00:00:00.20

Elapsed Time

00:00:00.34

Variables Created

prededuc

Fixed Predicted Values


[example23] C:\Dropbox\14_Psyc930MLM\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. 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. Dependent Variable: nm3rt: Number-Match 3 RT in ms.

CORRELATIONS nm3rt prededuc.

 


Correlations

 

Notes

Output Created

9-MAY-2014 13:22:01

Comments

 

Input

Data

C:\Dropbox\14_Psyc930MLM\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

00:00:00.00

Elapsed Time

00:00:00.02


[example23] C:\Dropbox\14_Psyc930MLM\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