Comparing more than two means: one factor ANOVA with a withinsubject design - Improving the User Experience through Practical Data Analytics - page 171

7.5 SPSS ANALYSIS
Now we illustrate our analysis in SPSS. Our respondent data from Table 7.2 , input to
SPSS, is illustrated in Figure 7.1(a) and (b) . We need two igures to show all 40 data
values (i.e., rows of data), since most SPSS screens cannot illustrate all 40 rows at
once (unless a “gigantic size” monitor is being used). We need three columns, since
we “make believe” that we have two factors, the second one being “respondent.”
Next, pull down the “Analyze” dropdown, choose “General Linear Model” (hori-
zontal arrow), and then on the submenu, “Univariate” (vertical arrow), even though
there was no choice here. This is illustrated in Figure 7.2 and is the same step we used
in Chapter 6, when we irst introduced ANOVA.
After clicking (or “letting go”) of Univariate, we see Figure 7.3 .
As is always the case for SPSS, and as we have seen before, all of the variables
are listed on the left. We now produce Figure 7.4 , drag Rating (column 1) to the
“dependent variable” box (recall: the “dependent variable” is, basically, the “output”
variable, which is the ease-of-use rating), and the “Task” (column 2) to the “Fixed
Factor” box (vertical arrow in Figure 7.4 ).
FIGURE 7.2
Beginning to perform the one-factor repeated measures ANOVA in SPSS.