| bio | website | |
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| visits | member for | 11 months |
| seen | Apr 10 at 14:40 | |
| stats | profile views | 10 |
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Jun 8 |
awarded | Necromancer |
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Jun 8 |
awarded | Editor |
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Jun 8 |
revised |
Are IQ tests “biased” against individuals with Asperger's Syndrome? deleted 17 characters in body |
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Jun 7 |
awarded | Revival |
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Jun 7 |
awarded | Teacher |
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Jun 7 |
awarded | Supporter |
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Jun 7 |
answered | Are IQ tests “biased” against individuals with Asperger's Syndrome? |
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Jun 4 |
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Fitting a psychometric function when data does not lend itself to a sigmoidal fit [pypsignifit] let us continue this discussion in chat |
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Jun 4 |
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Fitting a psychometric function when data does not lend itself to a sigmoidal fit [pypsignifit] Upon reflection, that was obvious. Sorry! Seeding with values close to 0.5 does not help, nor does changing function - the obscure slope from the first data-point is still there. Ideally I'd just not use that data in my analyses, but seeing as the whole point of this venture is to compare those who are 'good' as the task compared to those who are not... |
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Jun 3 |
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Fitting a psychometric function when data does not lend itself to a sigmoidal fit [pypsignifit] Makes sense, but the main issue I have is I'd have to arbitrarily choose when to use this alternative fit. The same participant appeared to perform at chance on another condition, but the cumulative gaussian fitted well and showed a not-immediately-apparent slope. |
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Jun 3 |
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Fitting a psychometric function when data does not lend itself to a sigmoidal fit [pypsignifit] That's exactly what happened. It may be counterintuitive to try to fit the data, but I really want to be able to compare the slope of these participants with ones who performed better using something like a t-test. Hence the 'need' to fit. |
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Jun 3 |
awarded | Student |
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Jun 3 |
asked | Fitting a psychometric function when data does not lend itself to a sigmoidal fit [pypsignifit] |