Literature DB >> 15701943

Expected linking error resulting from item parameter drift among the common Items on Rasch calibrated tests.

G Edward Miller1, Paul Randall Gesn, Jourania Rotou.   

Abstract

In state assessment programs that employ Rasch-based common item linking procedures, the linking constant is usually estimated with only those common items not identified as exhibiting item difficulty parameter drift. Since state assessments typically contain a fixed number of items, an item classified as exhibiting parameter drift during the linking process remains on the exam as a scorable item even if it is removed from the common item set. Under the assumption that item parameter drift has occurred for one or more of the common items, the expected effect of including or excluding the "affected" item(s) in the estimation of the linking constant is derived in this article. If the item parameter drift is due solely to factors not associated with a change in examinee achievement, no linking error will (be expected to) occur given that the linking constant is estimated only with the items not identified as "affected"; linking error will (be expected to) occur if the linking constant is estimated with all common items. However, if the item parameter drift is due solely to change in examinee achievement, the opposite is true: no linking error will (be expected to) occur if the linking constant is estimated with all common items; linking error will (be expected to) occur if the linking constant is estimated only with the items not identified as "affected".

Mesh:

Year:  2005        PMID: 15701943

Source DB:  PubMed          Journal:  J Appl Meas        ISSN: 1529-7713


  1 in total

1.  Investigating the Impact of Item Parameter Drift for Item Response Theory Models with Mixture Distributions.

Authors:  Yoon Soo Park; Young-Sun Lee; Kuan Xing
Journal:  Front Psychol       Date:  2016-02-24
  1 in total

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