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Originally posted by Quazga
Intelligent people less likely to believe in God
www.telegraph.co.uk
(visit the link for the full news article)
Professor Richard Lynn, emeritus professor of psychology at Ulster University, said many more members of the "intellectual elite" considered themselves atheists than the national average.
A decline in religious observance over the last century was directly linked to a rise in average intelligence, he claimed.
But the conclusions - in a paper for the academic journal Intelligence - have been branded "simplistic" by critics.
Originally posted by melatonin
That I disagree with. A reliable strong significant correlation is suggestive of some form of causation (could be a to b, b to a, unknown(s) to a & b). It does not prove a causes b (or b causes a), but it is certainly something that would say to me - time to get into this relationship in detail.
Originally posted by melatonin
But if you think that only multiple regressions are appropriate, you have just discarded much very fine and robust research out there.
Originally posted by melatonin
Aye, but we are not talking about multiple regression in this study. I also never said impossible. I think I said 'fairly rare'. and for a bivariate it is. And in this case expecting R^2 of .65 to be, what was it you said, 'generous' is pretty laughable.
And your 'spurious correlations' blah was indicative of someone who just wants to dismiss this issue out of hand. I'm not, I raised my concerns earlier in the thread. But your approach is more troubling to me, especially so if you are a PhD student.
I agree. But if you go on to be an independent researcher, you'll learn to use what you have to hand.
But it certainly isn't meaningless. I'm sorry, it just isn't.
Oh, trust me. If you ever find r = .6, it is more likely than not to be p < .05. Not certainly, but very likely.
And again, I agree. Bad research does get published. Peer-review is a necessary but not sufficient degree of quality control. I take that bias comment as pretty much poor form. Peer-review generally involves much more than one individual, so you are taking pot-shots at probably 3 experts with differing views here. Indeed, implicitly at people you don't even know who reviewed this manuscript.
.65 for R^2 is much too high for some sort of barrier for acceptable relationships in behavioural science. I'll tell you a little story, I used to work in pharmaceutical research all those years ago, I would knock of assay calibrations of .99999999999999999 all the time. When I moved into a behavioural science as an UG, I did a study and found a correlation of something like .35, which I said was poor. And it is! For chemistry. But I was told it was actually a moderate relationship. It's just something you might have missed or overlooked. Around .3-.4 is moderate, .5+ is strong.
Not spurious at all. That's the wrong approach. It shows a significant negative correlation between two variables, that is not random. And it is most likely not spurious. That's what the stats are for. If we are at p < .05, we are talking about less than 5% false positive.
So, you question the relationship between IQ and intelligence?
Or do you question the veracity of their measure of belief/non-belief.
Originally posted by Quazga
Well duh!
www.telegraph.co.uk
(visit the link for the full news article)
“It seems as though someone has fine-tuned nature’s numbers to make the universe. The impression of design is overwhelming.” Paul Davies; famous cosmologist, quantum physicist & materialistic naturalist
“The Fundamentalist (fundamental Bible believers) are closing in fast.” The Death of Science
Originally posted by ALightinDarkness
No, a simple correlation does not signify any sort of relationship. The number of sales by Apple Computer, Inc. per month and the number of domestic dogs in the United States per month has also gone up. Put it in SPSS and run a correlation, you'll find a surprisingly high value. Surely, this means we have causation!
Many things correlate and theres no causation going on.
I think that extraordinary research claims require extraordinary research methods. If your going to make a grandiose claim and don't use a research technique that is most appropriate for what your doing, then it should be no big surprise you get rightly criticized for it and have the validity of your study be questioned.
I've been a graduate student for a few years, and worked on research all that time. I come across high R squares all the time, especially when people are making grandiose claims. It is not the norm for your average paper, but it is expected when your making huge claims like this.
Spurious correlations are just matters of fact when dealing with this sort of research. Your eagerness to accept it and make it seem more than it is is very troubling to me, especially for someone who is throwing subliminal insults like this.
As a independent researcher (I think publishing my own papers off my own original data makes me independent)
I use what I have - and I know my limitations. I've went down possible research paths many times only to have to back up and reframe because I was going down a path that would lead to claims I could not back up. Must be all that humility and ethics I have getting in the way.
But it is. And I've run across those scores many times and had them be not statistically significant at that level.
I take your comments of being so sure of the peer reviewed process as pretty poor form. Getting into some journals is a matter of politicking, knowing the editor, and making sure you throw in cites that are from the reviewer list. The "peer review" process has little meaning, except for a certain tier of journals and higher.
Since your displaying quite a level of subliminal arrogance here (or at least that is what it appears to be), I'm not sure how to respond. I'll just say I work with a expert in quantitative methodology in the social sciences on a daily basis. I will trust her PhD training from a top ranked program and 35 years of research experience in this area - which go completely against your claims.
Two main factors make Dr. Cartman more or less willing to conclude that there is a non-zero correlation between SAT and GPA in the entire Freshman student body. One factor affecting his confidence is the size of the correlation in his sample. In his sample’s data, Dr. Cartman found a correlation of r = .40, which represents a positive correlation of moderate size.
....
But what if Dr. Cartman had found that the correlation in sample was very strong, say r = .80? A correlation of r = .80 is very far from zero – it expresses a very strong association between two variables.
Yet again: correlation does not equal causation. Just because its probably not a random correlation in terms of statistical significance does not mean there is any causation going on. It is most likely spurious.
Both. IQ is not the best measure of intelligence, and it could be combined with other variables if there was no agenda going on. Also, measuring belief is complex. Measuring belief as a dichotomous variable not only has lots of validity problems but I would bet there was no logit regression to make up for it if it was measured that way. Given the simplistic methodology I would be surprised if they used any sort of index to measure belief appropriately by asking different questions about belief in god, religious practices, etc.
This has become circular. Your going to claim I'm dismissing it, and I'm going to claim your making more out of it than it really is. We agree measuring IQ is probably not the best way to do it, and the methods are probably too simple, and some others things. I would leave it at that until something new comes up.
Originally posted by ALightinDarkness
I think that extraordinary research claims require extraordinary research methods. If your going to make a grandiose claim and don't use a research technique that is most appropriate for what your doing, then it should be no big surprise you get rightly criticized for it and have the validity of your study be questioned.
Originally posted by acewilliams
Albert Einstien actually ran himself ragged trying to prove the fact that there was a god, but it so happens that he was never able to make that proof. To the contrary, he many times over showed that the original idea of a creator was propostorous. And therefor we see that he saw a difference in faith and fact even though he wished to deny it. To believe and to blindly believe are very different. "knowledge is power and hope is the fuel"
Originally posted by jsobecky
In what terms did he try to express the existence of God? Mathematical? Physical? Can't be done.
Quote: It was, of course, a lie what you read about my religious convictions, a lie which is being systematically repeated. I do not believe in a personal God and I have never denied this but have expressed it clearly. If something is in me which can be called religious then it is the unbounded admiration for the structure of the world so far as our science can reveal it.
- Albert Einstein, letter to an atheist (1954), quoted in Albert Einstein: The Human Side, edited by Helen Dukas & Banesh Hoffman
Originally posted by Quazga
Intelligent people less likely to believe in God
www.telegraph.co.uk
(visit the link for the full news article)
Professor Richard Lynn, emeritus professor of psychology at Ulster University, said many more members of the "intellectual elite" considered themselves atheists than the national average.
A decline in religious observance over the last century was directly linked to a rise in average intelligence, he claimed.
But the conclusions - in a paper for the academic journal Intelligence - have been branded "simplistic" by critics.