Database Reference
In-Depth Information
FIGURE 6.3
Excel output.
23, respectively, which add up to 126). VAR00001 (column 1) is labeled “sophistica-
tion.” VAR00002 (column 2) is labeled “age_group.” You can see that age_group is
“1” for the irst 28 rows and “2” starting with row 29 and going to row 54 (not visible
in the igure). Rows 55-80 are “3,” indicating age-group 3, rows 81-103 are “4,” and
rows 104-126 are labeled “5.” (We could not it all 126 rows in one igure.)
Now, 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 6.5
.
After clicking (or “letting go”) of Univariate, we see
Figure 6.6
.
As is always the case for SPSS, and as we have seen, all of the variables are listed
on the left. We now drag “sophistication” to the “dependent variable” box and the
“age_group” to the “Fixed Factor” box. This is shown in
Figure 6.7
.
SIDEBAR: A MINI-GLOSSARY OF RELEVANT TERMS THAT YOU NEED TO
KNOW!
For the rest of this topic, you're going to be reading a lot about terms that you may or may not be
familiar with. In addition, statisticians often use different names for basically the same thing when
the context changes. Since we think understanding the terms is crucial to understanding the tech-
niques we're discussing, we've created a mini-glossary. If you hit a bump in the road, come back
here for a refresher.
Continued
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