I was thinking about NoL bias and the opt out.
We have a CBC study in which all Attributes have 5 levels, including zeros.
Zeros only appear in the None option.
The number of levels appearing in the purchase options is equal (4) across all attributes.
Now consider including the zero level for one of the attributes in the purchase options.
Strictly, there is no change in the (equal) number of levels for all attributes, when the None is included in the consideration.
But there is now an imbalance in the number of levels of the attributes in the purchase options (5 vs 4).
So, do we think the change makes the study more vulnerable to NoL effect/ criticism?
If yes, might that be sufficient to add another level to the other Attributes - equalizing the number of levels within purchase options, imbalancing them overall.
Perhaps this depends on whether the zero levels in the None option are being processed as such by respondents.