Complex Mixed Design: Two Between-Subjects Factors and One Within-Subjects Factor - Analysis of Variance Designs - page 397

identification number; we have named this variable subid . The next two
columns represent our between-subjects variables. The first variable listed
is age ; teenagers are coded as 1 and those subjects in their middle twenties
are coded as 2; gender is the next variable with females coded as 1 and
males as 2. The last two variables represent the two levels of the within-
subjects variable of attraction type; the first level of attraction type is
named emotion and the second is named physical . Under each you find
the values on the dependent variable (amount of reported jealousy).
14.5.2 STRUCTURING THE DATA ANALYSIS
From the main SPSS menu, select Analyze ➜ General Linear Model ➜
Repeated Measures .Youselected Repeated Measures for the following
reason. If there are two or more cases in the study and at least one of the
independent variables is a within-subjects variable, then we must partition
the total variance of the dependent variable into a between-subjects por-
tion and a within-subjects portion. This partitioning is accomplished by
the Repeated Measures module of the General Linear Model procedure
in SPSS.
Selecting this path will open the dialog window shown in Figure 14.5.
As you will recall from Chapters 11, 12, and 13, this is the initial window
used by SPSS to have you name the within-subjects variable(s) in the
study. In this dialog window, we have specified the variable name attract
and indicated that it has two levels.
Figure 14.5 The GLM
Repeated Measures initial
Define Factors windows.