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Talk:IQ: Difference between revisions
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The few readers who know the terms "measuring the same factor", "measurement invariance", "factor analysis" likely mostly already know what IQ and g is, so the lede seems informative to very few people. One can explain q and IQ in simple terms (test results vs a measure of ability to perform well on ''any'' IQ test and any real-world cognitive task). [[User:Bibipi|Bibipi]] ([[User talk:Bibipi|talk]]) 07:36, 19 April 2021 (UTC) | The few readers who know the terms "measuring the same factor", "measurement invariance", "factor analysis" likely mostly already know what IQ and g is, so the lede seems informative to very few people. One can explain q and IQ in simple terms (test results vs a measure of ability to perform well on ''any'' IQ test and any real-world cognitive task). [[User:Bibipi|Bibipi]] ([[User talk:Bibipi|talk]]) 07:36, 19 April 2021 (UTC) | ||
: I put those in brackets so they could be glossed over, but yeah, I should link articles for each of those terms or simplify. In regards to the latter point you made, the important point here, IMO, is that ''g'' is a statistical construct that is likely measuring something concrete (wholly or to an extent). But no one has pointed to a single component of the brain or combination of genes that can wholly represent it yet. [[User:Altmark22|Altmark22]] ([[User talk:Altmark22|talk]]) 12:55, 19 April 2021 (UTC) | |||
== Norming == | == Norming == | ||
The explanation for the norming is confusing because the percentile is a different quantity than the score on a 100/15 normal distribution (even though one can convert from one to the other). [[User:Bibipi|Bibipi]] ([[User talk:Bibipi|talk]]) 07:36, 19 April 2021 (UTC) | The explanation for the norming is confusing because the percentile is a different quantity than the score on a 100/15 normal distribution (even though one can convert from one to the other). [[User:Bibipi|Bibipi]] ([[User talk:Bibipi|talk]]) 07:36, 19 April 2021 (UTC) | ||
:It's less confusing than the previous version of the lede, which didn't properly distinguish between numerical scores and percentiles. Many people do not know what standard deviations represent either. Most modern tests give you a percentile for each subtest and the FSIQ as well as scores for this reason, the percentile is more informative than raw scores (which most people are familiar with due to high school test scoring). If you wrote about z-scores it would make the lede even more 'technical'. More people likely know what a percentile is than a z-score or standard deviation. But it could be simplified, as long as the key point remains, that the score is representing how you perform ''relative to other people of your age group''. [[User:Altmark22|Altmark22]] ([[User talk:Altmark22|talk]]) 12:55, 19 April 2021 (UTC) | |||