2. Step 1
Running Two way ANOVA:
Go to the Analyze tab in
Menu bar, click on
Generalized Linear Model
option and select Univariate
to run Two way ANOVA
3. Step 2
Selecting Variable:
Select continuous variable
and click on arrow to drag
it in Dependent Variable
box then drag categorical
variable in the Fixed or
random factor box
according to model.
4. Step 3
Selecting profile plots:
Click on the Plots button
that will open Univariate:
Profile plot dialog box.
5. Step 4
Selecting Factors:
Drag factors between
which one want to display
Means plot to Horizontal
axis and Separate line
boxes.
7. Step 6
Selecting Post hoc Test:
Click on the Post hoc
button to select
appropriate post hoc test.
8. Step 7
Selecting Post hoc Test:
Select the factors for
which you want to run
post hoc test and drag it
to “Post hoc test for”
box, then select Tukey
from Equal variance
assumed box.
14. Homogeneity Test
This table displays the F statistic
associated with significance
value to test the null hypothesis
that the error variance of the
dependent variable is equal
across groups.
15. ANOVA Test
This table displays the result to test null
hypothesis of Two way ANOVA that the variable
will have no significant effect on Dependent
Variable. We can check this by looking at F –
statistic and it’s associated significance value
16. Estimated Marginal Mean
This table displays the
Estimated mean and
Standard Error for the
factors that we chose in
Step 9
17. Post hoc (Multiple Comparison Table)
This table displays comparison of
mean differences with it’s associated
significance value and Standard error.
It also displays 95% Confidence
interval for Mean difference