I’m working on a design for a choice experiment in which three of the five attributes are expected to be evaluated as negative (increased cost to household, loss of jobs in industry A, loss of jobs in industry B). The other two attributes (expansion in conservation programs) are expected to be evaluated as positive for many, though often weakly, and potentially negative for some.
For our in-person pre-tests, each of the jobs attributes had three levels: -200 (loss of 200 jobs), -50, and 0 (no loss). We found that job loss was dominating respondent choices, with most selecting the status quo for a choice across status quo and two change alternatives.
To avoid this for the next stage of survey administration, we plan to reduce the highest level of job loss for each of the two jobs attributes. We also thought to reduce from 3 levels to 2 (e.g., -100 and 0), and to have level=0 appear twice as often as level=-100.
One way to do this might be to retain 3 levels and have 2 of those levels take on the same value (-100, 0, 0). It’s my understanding that it’s not possible to do this in Ngene. I could “cheat” by using levels -100, -1, 0, but that raises two questions.
Is it problematic from a conceptual / statistical perspective to have one level appear twice as often as another? If not, is there a “clean” way to do this in Ngene?
Thank you in advance for any feedback on this.