If a significant result is obtained, how might you interpret the findings more thoroughly?
a. |
Refer to percentage totals in the contingency table. |
|
b. |
Refer back to the raw data. |
|
c. |
Refer to Fisher’s exact test statistic. |
|
d. |
Refer to the continuity correction value. |
I'm leaning towards D.
When analyzing a table with more than two rows or columns, a significant result tells that at least any two variables are not independent. To find out which of the pair of variables are significantly correlated, we could do a 2×2 Fisher's exact test for each of these pairwise comparisons. So, to interpret the findings more thoroughly we can refer Fisher’s exact test statistic for all pair of variables. Thus, the answer is.
c. Refer to Fisher’s exact test statistic.
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