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The simple effects syntax
has been added to each of
the interaction lines.
Figure 8.16
The simple effects syntax has been added to the interaction lines.
in the parentheses after TABLES . Since the only other variable there is
reside , SPSS will compare females and males for each level of reside .The
text adj (bonferroni) instructs SPSS to perform these comparisons of the
gender means using a Bonferroni adjustment such that the alpha level
for the comparisons remains at .05 and thus avoids alpha inflation. In the
output, a Pairwise Comparisons table will be presented for this set of
comparisons.
Now place your cursor at the end of the second interaction line and,
after typing a space, type the following all in lower case:
compare (reside) adj (bonferroni).
This command structure tells SPSS to compare the various levels of
reside (large city, small town, rural community) at each level of gender .
Thus,wewillbecomparingthethreeresidencesizesforthefemalerespon-
dents and again for the male respondents. Note that each of these com-
parisons involves three groups but that presents no problem for SPSS -
all of the comparisons will be performed. And because we have added the
adj (bonferroni) syntax, these comparisons will be made at a Bonferroni
adjusted alpha level of .05.
To perform these post-ANOVA analyses, from the main menu select
Run All . SPSS will highlight the entire set of syntax and run the analysis.
It will then deposit the output in an Output window.
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