Both will test the interaction. The first provides statistics related to the additive model (model 1).
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA CHANGE ZPP
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT
vp2
/METHOD=ENTER
cEo cPhil
/METHOD=ENTER eo_phil.
OR
REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA ZPP
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT
vp2
/METHOD=ENTER
cEo cPhil
eo_phil.
Checkout:
Jaccard, J., & Turrisi, R. (2003) Interaction effects in multiple regression. Newbury Park: Sage.
I hope this helps, Steve
From: SPSSX(r) Discussion [mailto:[hidden email]]
On Behalf Of Onishi, Tamaki
Sent: Tuesday, October 23, 2012 1:36 AM
To: [hidden email]
Subject: Moderated regression
Hello,
I am trying to run moderated regression, but am not confident if I am doing correct and did 2 different ways. My questions are (1) Could anybody let me know which one is correct or if neither is
correct what I should do? And (2) which result of "Sig." should I report as related to the coefficients?
I am attaching one example. Here, a research question is "how EO affects the relationship between DV (VPTOOL2) and affiliation with philanthropic associations."
Also, EO below is labeled as "centEO"[as this was centered] or "INTER_centEO" as part of a moderating (interaction) term, whereas affiliation with philanthropic associations, as "centAFFIL_PHIL".
Thanks much for your help!
|
Example 1) |
|||||||||||||
|
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
95.0% Confidence Interval for B |
Correlations |
Collinearity Statistics |
||||||
|
B |
Std. Error |
Beta |
Lower Bound |
Upper Bound |
Zero-order |
Partial |
Part |
Tolerance |
VIF |
||||
|
1 |
(Constant) |
9.342 |
.393 |
|
23.762 |
.000 |
8.560 |
10.123 |
|
|
|
|
|
|
centAFFIL_PHIL |
-1.412 |
.259 |
-.508 |
-5.443 |
.000 |
-1.928 |
-.896 |
-.508 |
-.508 |
-.508 |
1.000 |
1.000 |
|
|
2 |
(Constant) |
9.344 |
.396 |
|
23.597 |
.000 |
8.557 |
10.132 |
|
|
|
|
|
|
centAFFIL_PHIL |
-1.410 |
.261 |
-.508 |
-5.401 |
.000 |
-1.930 |
-.891 |
-.508 |
-.508 |
-.507 |
.998 |
1.002 |
|
|
INTER_centEOxcentAFFIL_PHIL |
.042 |
.311 |
.013 |
.134 |
.894 |
-.577 |
.661 |
.034 |
.015 |
.013 |
.998 |
1.002 |
|
|
a. Dependent Variable: VPTOOL2 |
|||||||||||||
|
Example 2) |
|||||||||||||
|
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
95.0% Confidence Interval for B |
Correlations |
Collinearity Statistics |
||||||
|
B |
Std. Error |
Beta |
Lower Bound |
Upper Bound |
Zero-order |
Partial |
Part |
Tolerance |
VIF |
||||
|
1 |
(Constant) |
9.342 |
.395 |
|
23.622 |
.000 |
8.555 |
10.128 |
|
|
|
|
|
|
centEO |
-.018 |
.457 |
-.004 |
-.040 |
.969 |
-.927 |
.891 |
.023 |
-.004 |
-.004 |
.997 |
1.003 |
|
|
centAFFIL_PHIL |
-1.412 |
.261 |
-.509 |
-5.405 |
.000 |
-1.932 |
-.893 |
-.508 |
-.508 |
-.508 |
.997 |
1.003 |
|
|
2 |
(Constant) |
9.345 |
.398 |
|
23.456 |
.000 |
8.552 |
10.137 |
|
|
|
|
|
|
centEO |
-.023 |
.461 |
-.005 |
-.050 |
.960 |
-.941 |
.894 |
.023 |
-.006 |
-.005 |
.990 |
1.010 |
|
|
centAFFIL_PHIL |
-1.411 |
.263 |
-.508 |
-5.365 |
.000 |
-1.934 |
-.888 |
-.508 |
-.507 |
-.507 |
.996 |
1.004 |
|
|
INTER_centEOxcentAFFIL_PHIL |
.043 |
.314 |
.013 |
.137 |
.891 |
-.582 |
.668 |
.034 |
.015 |
.013 |
.991 |
1.009 |
|
|
a. Dependent Variable: VPTOOL2 |
|||||||||||||
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