Examine the moderator effects for the above modelsnbsp in


Assignment #9

1) We want to examine the mediator for the following:( 35 points)

Dependent variable: Reason for missing the medication (TREAS)

 Independent variable: Social support/available support (TSSQAV)

 Mediator effect:focusing on other (TCOPEFO)

2) We want to examine the mediator for the following:(35 points)

 Dependent variable: Reason for missing the medication (TREAS)

 Independent variable: Social support/available support (TSSQAV)

 Mediator effect: b) focusing on the present (TCOPEFP)

3) Examine the moderator effects for the above models.  In order to examine moderator effect, you have to create the interaction effect as follows:

 

            Sscopefo = tssqav*tcopefo;

            Sscopefp = tssqav*tcopefp;

 

Then, you need to add this interaction effect into the regression model. 

For example: model treas = tssqavtcopefoSscopefo;

 

Moderator effect: a) focusing on other (TCOPEFO)

 b) focusing on the present (TCOPEFP)

Moderator Effect   y = m x m*x

 

SAS Output for Assignment #9:

Question #1 (part 1):MEDIATOR EFFECT

Regression model / Step 1 y = x

 

Number of Observations Read

280

Number of Observations Used

222

Number of Observations with Missing Values

58

 

Analysis of Variance

Source

DF

Sum of
Squares

Mean
Square

F Value

Pr > F

Model

1

625.23264

625.23264

5.88

0.0161

Error

220

23374

106.24692

 

 

Corrected Total

221

24000

 

 

 

 

Root MSE

10.30761

R-Square

0.0261

Dependent Mean

9.31081

Adj R-Sq

0.0216

CoeffVar

110.70587

 

 

 

Parameter Estimates

Variable

Label

DF

Parameter
Estimate

Standard
Error

t Value

Pr > |t|

Standardized
Estimate

Squared
Semi-partial
Corr Type II

Squared
Partial
Corr Type II

Intercept

Intercept

1

14.35054

2.18967

6.55

<.0001

0

.

.

TSSQAV

total / ss/ avaiable support

1

-0.98401

0.40564

-2.43

0.0161

-0.16141

0.02605

0.02605

Regression model / Step 2 m=x

Number of Observations Read

280

Number of Observations Used

280

 

Analysis of Variance

Source

DF

Sum of
Squares

Mean
Square

F Value

Pr > F

Model

1

39.02923

39.02923

6.52

0.0112

Error

278

1663.77077

5.98479

 

 

Corrected Total

279

1702.80000

 

 

 

 

Root MSE

2.44638

R-Square

0.0229

Dependent Mean

9.20000

Adj R-Sq

0.0194

CoeffVar

26.59111

 

 

 

Parameter Estimates

Variable

Label

DF

Parameter
Estimate

Standard
Error

t Value

Pr > |t|

Standardized
Estimate

Squared
Semi-partial
Corr Type II

Squared
Partial
Corr Type II

Intercept

Intercept

1

8.09886

0.45530

17.79

<.0001

0

.

.

TSSQAV

total / ss/ avaiable support

1

0.21516

0.08425

2.55

0.0112

0.15140

0.02292

0.02292

Regression model / Step 3 y = m x

Number of Observations Read

280

Number of Observations Used

222

Number of Observations with Missing Values

58

 

Analysis of Variance

Source

DF

Sum of
Squares

Mean
Square

F Value

Pr > F

Model

2

995.35500

497.67750

4.74

0.0097

Error

219

23004

105.04200

 

 

Corrected Total

221

24000

 

 

 

 

Root MSE

10.24900

R-Square

0.0415

Dependent Mean

9.31081

Adj R-Sq

0.0327

CoeffVar

110.07634

 

 

 

Parameter Estimates

Variable

Label

DF

Parameter
Estimate

Standard
Error

t Value

Pr > |t|

Standardized
Estimate

Squared
Semi-partial
Corr Type II

Squared
Partial
Corr Type II

Intercept

Intercept

1

18.52594

3.11257

5.95

<.0001

0

.

.

TSSQAV

total / ss/ avaiable support

1

-0.82633

0.41198

-2.01

0.0461

-0.13554

0.01761

0.01804

TCOPEFO

cope score / focusing on others

1

-0.53596

0.28552

-1.88

0.0618

-0.12685

0.01542

0.01583

Regression model / Step 1 y = x

Number of Observations Read

280

Number of Observations Used

222

Number of Observations with Missing Values

58

 

Analysis of Variance

Source

DF

Sum of
Squares

Mean
Square

F Value

Pr > F

Model

1

625.23264

625.23264

5.88

0.0161

Error

220

23374

106.24692

 

 

Corrected Total

221

24000

 

 

 

 

Root MSE

10.30761

R-Square

0.0261

Dependent Mean

9.31081

Adj R-Sq

0.0216

CoeffVar

110.70587

 

 

Parameter Estimates

Variable

Label

DF

Parameter
Estimate

Standard
Error

t Value

Pr > |t|

Standardized
Estimate

Squared
Semi-partial
Corr Type II

Squared
Partial
Corr Type II

Intercept

Intercept

1

14.35054

2.18967

6.55

<.0001

0

.

.

TSSQAV

total / ss/ avaiable support

1

-0.98401

0.40564

-2.43

0.0161

-0.16141

0.02605

0.02605

Regression model / Step 2 m=x

Number of Observations Read

280

Number of Observations Used

280

 

Analysis of Variance

Source

DF

Sum of
Squares

Mean
Square

F Value

Pr > F

Model

1

8.88117

8.88117

6.27

0.0128

Error

278

393.51526

1.41552

 

 

Corrected Total

279

402.39643

 

 

 

 

Root MSE

1.18976

R-Square

0.0221

Dependent Mean

4.95357

Adj R-Sq

0.0186

CoeffVar

24.01817

 

 

 

Parameter Estimates

Variable

Label

DF

Parameter
Estimate

Standard
Error

t Value

Pr > |t|

Standardized
Estimate

Squared
Semi-partial
Corr Type II

Squared
Partial
Corr Type II

Intercept

Intercept

1

4.42830

0.22143

20.00

<.0001

0

.

.

TSSQAV

total / ss/ avaiable support

1

0.10263

0.04097

2.50

0.0128

0.14856

0.02207

0.02207

Regression model / Step 3 y = m x

Number of Observations Read

280

Number of Observations Used

222

Number of Observations with Missing Values

58

 

Analysis of Variance

Source

DF

Sum of
Squares

Mean
Square

F Value

Pr > F

Model

2

1707.96320

853.98160

8.39

0.0003

Error

219

22292

101.78809

 

 

Corrected Total

221

24000

 

 

 

 

Root MSE

10.08901

R-Square

0.0712

Dependent Mean

9.31081

Adj R-Sq

0.0627

CoeffVar

108.35800

 

 

 

Parameter Estimates

Variable

Label

DF

Parameter
Estimate

Standard
Error

t Value

Pr > |t|

Standardized
Estimate

Squared
Semi-partial
Corr Type II

Squared
Partial
Corr Type II

Intercept

Intercept

1

22.10093

3.20008

6.91

<.0001

0

.

.

TSSQAV

total / ss/ avaiable support

1

-0.72116

0.40513

-1.78

0.0765

-0.11829

0.01344

0.01426

TCOPEFP

cope score / focus on present

1

-1.84593

0.56598

-3.26

0.0013

-0.21673

0.04511

0.04632

Regression model / Moderator Effector y = m x m*x

Number of Observations Read

280

Number of Observations Used

222

Number of Observations with Missing Values

58

 

Analysis of Variance

Source

DF

Sum of
Squares

Mean
Square

F Value

Pr > F

Model

3

1013.55743

337.85248

3.20

0.0241

Error

218

22986

105.44035

 

 

Corrected Total

221

24000

 

 

 

 

Root MSE

10.26842

R-Square

0.0422

Dependent Mean

9.31081

Adj R-Sq

0.0291

CoeffVar

110.28487

 

 

 

Parameter Estimates

Variable

Label

DF

Parameter
Estimate

Standard
Error

t Value

Pr > |t|

Intercept

Intercept

1

16.56992

5.64690

2.93

0.0037

TSSQAV

total / ss/ avaiable support

1

-0.36840

1.17690

-0.31

0.7546

TCOPEFO

cope score / focusing on others

1

-0.29883

0.63841

-0.47

0.6402

sscopefo

 

1

-0.05351

0.12880

-0.42

0.6782

 

Regression model / Moderator Effector y = m x m*x

Number of Observations Read

280

Number of Observations Used

222

Number of Observations with Missing Values

58

 

Analysis of Variance

Source

DF

Sum of
Squares

Mean
Square

F Value

Pr > F

Model

3

1772.70659

590.90220

5.80

0.0008

Error

218

22227

101.95802

 

 

Corrected Total

221

24000

 

 

 

 

Root MSE

10.09743

R-Square

0.0739

Dependent Mean

9.31081

Adj R-Sq

0.0611

CoeffVar

108.44841

 

 

 

Parameter Estimates

Variable

Label

DF

Parameter
Estimate

Standard
Error

t Value

Pr > |t|

Intercept

Intercept

1

27.45449

7.44261

3.69

0.0003

TSSQAV

total / ss/ avaiable support

1

-1.80678

1.42141

-1.27

0.2050

TCOPEFP

cope score / focus on present

1

-3.06731

1.63405

-1.88

0.0618

sscopefp

 

1

0.24268

0.30454

0.80

0.4264

 

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Dissertation: Examine the moderator effects for the above modelsnbsp in
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