11/26: The survey is now closed. Please do not take the survey. Your results will not be counted.
It's that time of year again.
If you are reading this post, and have not been sent here by some sort of conspiracy trying to throw off the survey results, then you are the target population for the Less Wrong Census/Survey. Please take it. Doesn't matter if you don't post much. Doesn't matter if you're a lurker. Take the survey.
This year's census contains a "main survey" that should take about ten or fifteen minutes, as well as a bunch of "extra credit questions". You may do the extra credit questions if you want. You may skip all the extra credit questions if you want. They're pretty long and not all of them are very interesting. But it is very important that you not put off doing the survey or not do the survey at all because you're intimidated by the extra credit questions.
The survey will probably remain open for a month or so, but once again do not delay taking the survey just for the sake of the extra credit questions.
Please make things easier for my computer and by extension me by reading all the instructions and by answering any text questions in the most obvious possible way. For example, if it asks you "What language do you speak?" please answer "English" instead of "I speak English" or "It's English" or "English since I live in Canada" or "English (US)" or anything else. This will help me sort responses quickly and easily. Likewise, if a question asks for a number, please answer with a number such as "4", rather than "four".
Okay! Enough nitpicky rules! Time to take the...
Thanks to everyone who suggested questions and ideas for the 2012 Less Wrong Census Survey. I regret I was unable to take all of your suggestions into account, because some of them were contradictory, others were vague, and others would have required me to provide two dozen answers and a thesis paper worth of explanatory text for every question anyone might conceivably misunderstand. But I did make about twenty changes based on the feedback, and *most* of the suggested questions have found their way into the text.
By ancient tradition, if you take the survey you may comment saying you have done so here, and people will upvote you and you will get karma.
Commenting here because this is the highest voted comment mentioning the Big Five.
The Big Five personality test linked to in the survey is an online implementation of the Big Five Inventory (BFI). It was used in two studies: Srivastava et al. (2003) and Gosling et al. (2004.
The most recent canonical citation of the BFI is John et al. (2008). The BFI is very widely used in the literature, so descriptive statistics (i.e., mean and SD) for different populations are available from many studies.
The percentiles from the online test were approximated under a Gaussian assumption (scores on Big Five inventories are typically not well-approximated by Gaussians, so the percentile rankings are bound to be off). Everyone was normed to the same distribution (i.e., age, gender, etc. do not affect the results; only the 44 questions on the BFI do). The exact mean and SD used by the test to calculate percentile rankings are as follows (converted to the usual 5-point Likert scale):
In order to compare LW's results to norms in the literature, we need to convert the percentiles back to the 5-point scale. This is easy; just use an inverse CDF. Unfortunately, we are unable to recover the full range of results because some scores at the tails were rounded to the same percentile bins (note that the "percentiles" were actually rounded values from the CDF, so each percentile bin was shifted by 0.5 percentiles from what they should have been; truncation/floor should have been used instead of rounding).
As a quick comparison to the norms used by the online test, here are norms for the BFI from Donnellan et al. (2006) (n = 300, 78.7% female, sampled from undergraduates enrolled in psychology courses at Michigan State University):
Because we do not have the individual responses for each item on the BFI, we will be unable to test the fit of the five-factor model to LW data or to confirm the expected factor loading of each item.