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Such a mechanism would presumably be based on item recognition information.
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One component of these models is based on item response theory.
MFRM is based on Item Response Theory (IRT), a branch of Latent Trait Theory.
In the past, many algorithms were proposed to mine association rules, most of which were based on item frequency values.
The INSBAT is based on item response theory and allows for tailored testing.
Like in most other CATs, the method of selecting new items was based on item information [ 15, 19].
Most of these methods are based on item response theory and involve comparisons of item parameters after matching of respondents according to trait level.
An alternative method is a test-centered method whereby the pass mark is based on item or station characteristics, such as the modified Angoff standard setting method.
CAT, which is based on item response theory (IRT)[ 21], is a test-administration method that tailors the assessment to the latent-trait level of the examinee.
Rasch model is based on item response theory (IRT) and it allows missing data estimate examinee' stress resistant ability [ 37, 38].
In contrast, influenza vaccine uptake data is not dependent on sample population projections, since it is based on item of service returns collated by the information and statistics division of NHS Health Services Scotland [ 16].
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