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A further limitation of this paper lies in the operationalization of information integration and multiple alternative generation used in this study that is based on items suggested by Miller et al. (1998).
Often, measurement is based on items or symptoms with more than two categories.
This item is not included in the total PEDro score (maximum 10); therefore, our score is based on items 2 to 11.
This scale is based on items that reference how well the person could perform IADL tasks if called upon to do so.
It is based on items generated from the subjective experience of short stature children referred for endocrine investigation, is validated for use in five languages and it is easy to administer in clinical and research settings.
Thus, the analysis is based on items asking for opinions about the possibility of using the Internet for the provision of health care services rather than their actual use or perceived usefulness originating from real experience.
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In the present paper, we introduce an RT-based CIT that is based on item-category associations: the Association-based Concealed Information Test (A-CIT).
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.
The INSBAT is based on item response theory and allows for tailored testing.
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.
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