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ERIC Number: EJ1030194
Record Type: Journal
Publication Date: 2014
Pages: 18
Abstractor: As Provided
Reference Count: 15
ISSN: ISSN-0895-7347
An Examination of Two Procedures for Identifying Consequential Item Parameter Drift
Wells, Craig S.; Hambleton, Ronald K.; Kirkpatrick, Robert; Meng, Yu
Applied Measurement in Education, v27 n3 p214-231 2014
The purpose of the present study was to develop and evaluate two procedures flagging consequential item parameter drift (IPD) in an operational testing program. The first procedure was based on flagging items that exhibit a meaningful magnitude of IPD using a critical value that was defined to represent barely tolerable IPD. The second procedure was based on flagging items in which the D[superscript 2] statistic was more than two standard deviations from the mean. Both procedures were implemented using an iterative purification approach to detect IPD. A simulation study was implemented to evaluate the effectiveness of both detection procedures in flagging non-negligible IPD. Both procedures were able to identify IPD and the iterative purification method provided useful information regarding the consequences of excluding or including a flagged item. The advantages and disadvantages of both procedures as well as possible modifications intended to improve the procedures' effectiveness are discussed in the article.
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A