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The model estimates person ability independent of the distribution of the population, and item difficulty independent of the person ability [ 20].
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Multilog was used to estimate person location (θ, reflecting participants' perceived risk) using maximum a posteriori (MAP) estimation.
In the second stage, we treated the item category intercept estimates as known and estimated person- and country-level parameters related to the latent traits.
These individuals have been followed-up biennially from baseline in 1986 for migration and vital status to estimate person time at risk for the entire cohort.
Next we examined whether there are differences in the measurement error surrounding estimated person scores.
First, the estimated person location was the only predictor in the logistic regression model.
Rasch models [ 28] are latent trait models estimating person ability (or person measure), and item difficulty along a single continuum.
The clinical significance of any observed DIF was studied by assessing if DIF influenced the estimated person locations (logit measures).
This is well in excess of the all industry rate of 2.3 claims per 100 estimated person years of employment.
Then the available items are scanned in order to determine which item could improve the estimated person location.
The Rasch measurement error for person scores is a function of the number of items and the targeting of each item's difficulty to the estimated person ability.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com