Tests of Between-Subjects Effects Dependent Variable:Int_Politics Corrected Mode
ID: 3052898 • Letter: T
Question
Tests of Between-Subjects Effects
Dependent Variable:Int_Politics
Corrected Model
Intercept
5525.200a
138816.600
5
1
1105.040
138816.600
61.190
7686.727
.000
.000
Gender
Edu_Level
Gender * Edu_Level
29.400
5328.100
167.700
1
2
2
29.400
2664.050
83.850
1.628
147.517
4.643
.207
.000
.014
Error
Total
Corrected Total
145317.000
6500.400
60
59
18.059
a. R Squared = .850(Adjusted R Squared = .836)
What is the best way to describe this data?
There is one significant main effect and no interactions
There are two significant main effects and no interactions
There is one significant main effect and one interaction
There are two significant main effects and no interactions
Source Type III Sum of Squares df Mean Square F Sig.Corrected Model
Intercept
5525.200a
138816.600
5
1
1105.040
138816.600
61.190
7686.727
.000
.000
Gender
Edu_Level
Gender * Edu_Level
29.400
5328.100
167.700
1
2
2
29.400
2664.050
83.850
1.628
147.517
4.643
.207
.000
.014
Error
Total
Corrected Total
975.200145317.000
6500.400
5460
59
18.059
Explanation / Answer
P value for Edu_Level is 0.00 < 0.05 ............................................for main effect.
P value for Gender * Edu_Level = 0.014 < 0.05................................for interaction effect
Option C) is correct.
There is one significant main effect and one interaction
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