arewenearlythereyet
Senior Member (Voting Rights)
@Invisible Woman
I agree that we disagree on the point of backwards and forwards and that experienced questionnaire designers are not appropriate for PWME.
Part of that experience is to consider questions via other means as part of the design. It also involves targeting your audience...an example is tailoring design for children that have limited vocabulary and attention span? You need specialist scales and appropriate design. You have to consider your audience as I said earlier. That doesn’t change the question you want to ask though...just how you ask it. In this respect I think we are cross purposes and saying the same thing.
I believe the techniques are available to do this already if good design principles were applied. By applying these principles you ensure the data you create is meaningful and avoids bias. Part of that is to be unambiguous..that’s standard for all questions ...what we see in the trash research and charity pop surveys is not best practice...it’s garbage on all fronts whether you have ME or not.
I agree the experience of PWME is one of extremely poor questionnaire design and chronic manipulations of experimental bias.
if I could show you something decent questionnaire-wise I think you would see what I mean but I don’t have anything I can share right now easily (or much more typing left in me)..probably easier to write one from scratch ...happy to collaborate on this when I have the time etc.
I agree that we disagree on the point of backwards and forwards and that experienced questionnaire designers are not appropriate for PWME.
Part of that experience is to consider questions via other means as part of the design. It also involves targeting your audience...an example is tailoring design for children that have limited vocabulary and attention span? You need specialist scales and appropriate design. You have to consider your audience as I said earlier. That doesn’t change the question you want to ask though...just how you ask it. In this respect I think we are cross purposes and saying the same thing.
I believe the techniques are available to do this already if good design principles were applied. By applying these principles you ensure the data you create is meaningful and avoids bias. Part of that is to be unambiguous..that’s standard for all questions ...what we see in the trash research and charity pop surveys is not best practice...it’s garbage on all fronts whether you have ME or not.
I agree the experience of PWME is one of extremely poor questionnaire design and chronic manipulations of experimental bias.
if I could show you something decent questionnaire-wise I think you would see what I mean but I don’t have anything I can share right now easily (or much more typing left in me)..probably easier to write one from scratch ...happy to collaborate on this when I have the time etc.