Can any of you help me get Data for my Statistics Project?

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It's just a control. Obviously, the results are not going to be as accurate--if you can ever call any statistics accurate--as, say the Weschler or SB or even the Raven. And scores fluctuate depending on a multiple of variables, anyway. Wescheler says I've got an IQ of 153, which is obviously a lot lower than the one from the Internet, and that's the number I'm going with (although I really like to say, "yeah, I totally have an IQ of 161.")

My scores on online tests vary depending on the time of day, how long I've been awake, what else I'm thinking about out at the time, if I care about the test, how many other tests I've taken, the types of questions being asked---and in some cases, the color and shapes of the graphics on certain questions. For instance, I am much better at seeing patterns in solid shapes than I am when presented with just outlines of shapes or thin lines. I make up for my weakness in maths (I am sure I've got dyscalcula 'cause I transpose numbers all the time) with very strong reasoning and verbal skills (and you can guess the answer to most of the questions 'cause they give you multiple choice answers to choose from, and from there, my dear Watson, it just involves logic.)

Anyway.

The first time I took that IQ test, I didn't realize it was timed. I got a 74. Totally freaked me out, so I read the instructions better and figured out what was wrong.

I find it quite shocking that everyone's saying to make up the data! Biased data is better than fake data!

i dont like the idea of faking the data... otherwise i would have done that and not come here with it...

if biased data is the best i can do given the time constraints then i have to go with that... if i had the time and resources i would try to make it as unbiased as i can...

but be fair, this stuff is for my core subjects - GCSE level... do you REALLY think i am going to put huge amounts of effort in, considering i was given this project quite late due to illness and i have 101 other more important assignments to hand in?

i will be trying to make is as unbiased as i can, and i WILL writing up the faults of my control...

There is point in faking data unless you have a good enough reason, namely:

a) Funding. You know what side your bread is buttered

b) You don't want to be wrong

c) You want to be famous

If none of these apply it is probably not a very accurate test anyway

Well if you are going to get paid the same and it saves you 4 weeks work, which you are probably going to end up fudging anyway.
Best just take the cash and have a few weeks off.

its not like its a drug trial or anything. If there are deadlines looming, just do what ever it takes. I assume its the process not the data that counts.

I know, but it still seems wrong to me. I thought Aspies were meant to be honest?

haha

Why's it funny? :S

I dont know.
Honestly, i would tell you if i knew.
But it made me laugh.

maybe us two are the only honest Aspies in this thread

nut you are considering making up data if none of the other aspies are honest can you trust the results they gave you anyway

Touche....

I don't know, I haven't always been that honest. I'm trying now though! I think it's just because it's something intellectual. I like philosophy, so the idea of intentionally misleading people with psychological data is one I don't feel comfortable about.

Not sure about this. Faked data might at least be
close to the real result. All depends on what it is
to be used for. Certainly, if it's biased, these factors
have to be explained - and thus it's worthless; if they
are not explained, then no, it is probably worse to
use biased data.

You're assuming that biased data won't give a result that's near to the real result! There may be other variables that haven't been eliminated that cause the data to express what appears to be the truth of the hypothesis. This doesn't mean that the hypothesis wouldn't still be true if the other variables were eliminated. Say someone has the hypothesis that it hasn't been raining. They do an experiment: looking at the ground outside to see if it's wet. It's not wet. They conclude that it hasn't rained. In actuality, the ground would have been wet because someone had a water fight outside half an hour earlier, but then the sun dried it out really quickly. So, no, it didn't rain, but the person doing the experiment had failed to take into account that the reliability of their results had been compromised by other variables.