Information Technology Reference
In-Depth Information
Figure 13.6
The main
GLMRepeated Measures
dialog window.
study. We have specified the variable name
project
and indicated that it
has two levels.
Clicking
Define
in the
Define Factor(s)
window brings us to the
GLM
Repeated Measures
main dialog window shown in Figure 13.6. We place
simple
and
complex
in slots 1 and 2, respectively, of the
Within-Subjects
Variables
panel and
leadstyl
in the panel for
Between-Subjects Factor(s)
as shown in Figure 13.7.
Select the
Options
pushbutton to reach the
Options
dialog window.
Bring over the three effects of interest to the
Display Means
panel and
check
Descriptive statistics
and
Homogeneity tests
. This is shown in
Figure 13.8. Click
Continue
to return to the main dialog window.
In the
Plots
dialog box, click over
project
to the
Horizontal Axis
because it is the within-subjects variable; we generally want the within-
subjects variable on the
x
axis of the plot. Click over
leaderstyl
to the
SeparateLines
panel. We have shown this in Figure 13.9. This will produce
a plot with three lines (one for each leadership style), each representing a
different set of cases. We can then trace how each has performed across
the two kinds of projects. Click
Add
to register your plot with SPSS and
click
Continue
to return to the main dialog window. Then click
OK
to
perform the omnibus analysis.
