|
Used
to determine what categories (cells) were major contributors to rejecting the null
hypothesis. When the absolute value of the residual (R) is greater than 2.00, the
researcher can conclude it was a major influence on a significant chi-square test
statistic.
Example
using the observed and expected frequencies in the previous example:
|
R |
|
Absolute
R |
|
|
|
|
|
|
|
Female |
Male |
|
Female |
Male |
Spend
More |
-1.300 |
1.364 |
|
1.300 |
1.364 |
Spend
Same |
-1.692 |
1.774 |
|
1.692 |
1.774 |
Spend
Less |
2.354 |
-2.469 |
|
2.354 |
2.469 |
Attitudes toward spending less for both females and
males had a major contribution to the chi-square result.
|
