This was only one example. If they were constraints like time or money there would still be some results from the 18-49 demographic. I had other samples from other polls during this time frame that used similar methodology to manipulate perception.
You’re probably right in this specific case; this seems suspiciously one-sided. Do you have a link to the source where they explain their methods?
Generally something like this can happen though, especially if you do e.g. random dialing on the landline to survey people; mostly older people still use landlines and mostly retired people actually pick up during office hours. A good social scientist would obviously try to measure and control for those sampling errors though, not make them on purpose to get pre-determined results.
This was only one example. If they were constraints like time or money there would still be some results from the 18-49 demographic. I had other samples from other polls during this time frame that used similar methodology to manipulate perception.
You’re probably right in this specific case; this seems suspiciously one-sided. Do you have a link to the source where they explain their methods?
Generally something like this can happen though, especially if you do e.g. random dialing on the landline to survey people; mostly older people still use landlines and mostly retired people actually pick up during office hours. A good social scientist would obviously try to measure and control for those sampling errors though, not make them on purpose to get pre-determined results.
I have the methods for this poll buried somewhere. I do remember it was a mix of landline/cell, in person, and mail.