Hey everyone, I'm about to start a research project, and in order to complete it, I need to get data from the GLBT population. It's basically a short survey that only takes about a minute to complete. You must be at least 16 years old to participate. [link] Thanks for anyone who participates =D .
That was easy! So done and finito, make sure to tell us what the thesis and such was once it's finished.
I was excited since I love surveys, but that was short! Good luck with your research. Any chance we can hear about the results afterwards?
Umm... transsexual is NOT a sexual orientation. plus, I identify as a queer & transgender (none of the options). I chose "gay", but that's not really how I identify.
Some people classify it as a sexual orientation. If you didn't match any of the choices, then you probably shouldn't have voted since that biases the results. The study is classified as "GLBT"; if you don't classify yourself as "GLBT", then you shouldn't participate. The last thing I need is biased data that could end up in the complete dismissal of my research project. This isn't to sound cold or anything.
I don't mean to undermine your research but thinking about it in light of Miles' comments I think it would be good if you would look at your methodology again. A couple of thoughts..... Looking at the data from a methodological stand point, I think it is a bit problematic if you leave out an entire population that falls under the GLBT banner. People who identify as Queer and Transgender do fall under it. This is not meant to be harsh or mean, but your categories that you have created for your research are already making the data biased because you haven't allowed for other options, and have for example lumped Gay and lesbian together. Some LGBT members would object to it as they see a separation between these two. But they still might vote because that's the only option. It's quite possible that gays have a higher or lower evaluation of life than lesbians do or vice versa. I don't know what your thesis is or what you are trying to do here, but lumping them together already skews the results and might not provide you with an accurate picture of what is actually going on.
If I were to separate "Gay" and "Lesbian" but just add "Bisexual", then my data would be skewed, seeing as 2 options specialize in gender, and one doesn't. Now that I'm looking at my data, I'm not even going to count sexuality into the analysis I'm going to do. Also, Thanks everyone for your input; I'm closing the study now that I have a decent sample