I am conducting an ACBC analysis and would like to get some indications, whether my conjoint design is reasonable. Hence, I made use of the design testing module.
While trying to interpret the obtained results, I came across some other contributions in that forum, where I found some guidelines, such as for instance with regard to the reported standard error:
"As a basic rule of thumb, we recommend trying to strive for a questionnaire and sample size so that the largest standard error across any of the attribute levels is somewhere around 0.05 for main effects (preferably 0.03)"
I was delighted to notice, that my values remained below that frontier.
However, as regards d-efficiency, I couldn't find a similar thumb rule. Does anyone know, whether there is an accetable range as well? FYI: My d-value
is 0.536 (I accumulated the single values and divided it by my sample size). Or doesn't it make sense to try to interpret this value? If not, are there any other options, that allow me to make any statements regarding the efficiency of my conjoint design?
Many thanks in advance!