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Research . 2018
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Anchor point selection: An approach for anchoring without anchor items

Authors: Strobl, Carolin; Kopf, Julia; Hartmann, Raphael; Zeileis, Achim;

Anchor point selection: An approach for anchoring without anchor items

Abstract

For detecting differential item functioning (DIF) between two groups of test takers, their item parameters need to be aligned in some way. Typically this is done by means of choosing a small number of so called anchor items. Here we propose an alternative strategy: the selection of an anchor point along the item parameter continuum, where the two groups best overlap. We illustrate how the anchor point is selected by means of maximizing an inequality criterion. It performs equally well or better than established approaches when treated as an anchoring technique, but also provides additional information about the DIF structure through its search path. Another distinct property of this new method is that no individual items are flagged as anchors. This is a major difference to traditional anchoring approaches, where flagging items as anchors implies - but does not guarantee - that they are DIF free, and may lull the user into a false sense of security. Our method can be viewed as a generalization of the search space of traditional anchor selection techniques and can shed new light on the practical usage as well as on the theoretical discussion on anchoring and DIF in general.

Keywords

invariant item clusters, differential item functioning (DIF), anchor items, C30, C52, ddc:330, item response theory (IRT), C87, Rasch model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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