This probably seems like a really strange question, but let me try to explain what I want to do; hopefully it will make sense.
I have a data set with a couple dozen variables, such as age, level of education, self-assessed (via a Likert scale) measures of technical ability, experience, willingness to share personal information, etc etc. Using this data, I want to estimate "likelihood of participation" in using a not-yet-developed social network. Since the site doesn't exist yet, I don't have a simple dependent variable with a "1" or "0" indicating whether they've used it or not, so I can't take the usual approach with regression and estimate what impact each variable had on their participation.
Is there some way to "create" a dependent variable that models "likely vs. not likely" (or something like that), and do the regression against that? I'm really lost ... would be open to any ideas.