Examine the moderator effects for the above models

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Reference no: EM131006255

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

Reference no: EM131006255

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