Here - Tilburg University
Here - Tilburg University
Here - Tilburg University
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Author and presenter<br />
Straat, Hendrik J.H.; <strong>Tilburg</strong> School of Social and Behavioral Sciences<br />
Title<br />
Conditional Association as a Powerful Tool for Assessing IRT Model Fit<br />
Abstract<br />
The ordinal, unidimensional latent variable model assumes<br />
unidimensionality, local independence, and monotonicity, and implies the<br />
general property of conditional association between sets of items. We specialized<br />
conditional association into three useful observable consequences and<br />
implemented them in a new scaling procedure that we coined CA scaling. CA<br />
scaling aims at identifying items that are inconsistent with the unidimensional<br />
latent variable model, removing those items from the initial item set, and<br />
producing a subset of items that is consistent with the unidimensional latent<br />
variable model. We compared CA scaling with the scaling procedures DETECT<br />
and Mokken scale analysis, and found that CA scaling produced longer scales<br />
consistent with the unidimensional latent variable model.
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