Originally Posted by

**Karabiner**
You want a statement about statistical significance but you do not want to perform significance tests?

If you want to avoid tests, then you could inspect adjusted standardized residuals for each cell. A value > 1.96 (or < -1.96) is often considered as an indication that the cell frequency is higher or lower than expected under the assumption of no association.

This is not true. The Bonferroni method is applied if one wishes to contain the risk of false-positive tests. Whether the tested data are from an observational or an experimental study is not relevant for the decision to apply or not apply Bonferroni.

One variable for each age group, e.g. variable "age group 20-29": each participant who is between 20 and 29 years old receives a "1" in this variable, all other participants receive "0". etc.

With kind regards

K.