I conducted a two-way anova in SPSS and got the following output: Tests of Betwe
ID: 3201164 • Letter: I
Question
I conducted a two-way anova in SPSS and got the following output:
Tests of Between-Subjects Effects
Dependent Variable: ScoreTwo
Source
Type III Sum of Squares
df
Mean Square
F
Sig.
Corrected Model
334.320a
7
47.760
.950
.483
Intercept
257297.708
1
257297.708
5115.724
.000
Gender
86.617
1
86.617
1.722
.199
Topic
243.508
3
81.169
1.614
.206
Gender * Topic
81.816
3
27.272
.542
.657
Error
1609.455
32
50.295
Total
288061.000
40
Corrected Total
1943.775
39
a. R Squared = .172 (Adjusted R Squared = -.009)
Can you help me fill in the blanks on what I am missing in the table below? Do I need to make calculations for the missing information or do they come directly from my output?
Source
SS
Df
MS
Between Treatments
Factor A (Gender)
86.617
1
86.61
F = 1.722
Factor B (topic)
243.508
3
81.169
F = 1.614
A x B interaction
81.816
3
27.272
F = 0.542
Within Treatments
Total
1943.775
39
Tests of Between-Subjects Effects
Dependent Variable: ScoreTwo
Source
Type III Sum of Squares
df
Mean Square
F
Sig.
Corrected Model
334.320a
7
47.760
.950
.483
Intercept
257297.708
1
257297.708
5115.724
.000
Gender
86.617
1
86.617
1.722
.199
Topic
243.508
3
81.169
1.614
.206
Gender * Topic
81.816
3
27.272
.542
.657
Error
1609.455
32
50.295
Total
288061.000
40
Corrected Total
1943.775
39
a. R Squared = .172 (Adjusted R Squared = -.009)
Explanation / Answer
Source
SS
Df
MS
Factor A (Gender)
86.617
1
86.61
F = 1.722
Factor B (topic)
243.508
3
81.169
F = 1.614
A x B interaction
81.816
3
27.272
F = 0.542
Total
1943.775
39
For Two way ANOVA, you do not need between and within treatment effects as factors and interaction effects have been specified.
Yours is a complete table, you do not need to work any further on it.
Source
SS
Df
MS
Factor A (Gender)
86.617
1
86.61
F = 1.722
Factor B (topic)
243.508
3
81.169
F = 1.614
A x B interaction
81.816
3
27.272
F = 0.542
Total
1943.775
39
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