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ERIC ED563094: Using DIF Dissection Method to Assess Effects of Ite... |
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by ERIC |
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Statistical procedures for detecting differential item |
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functioning (DIF) are often used as an initial step to |
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screen items for construct irrelevant variance. This |
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research applies a DIF dissection method and a two-way |
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classification scheme to SAT Reasoning Test verbal |
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section data and explores the effects of deleting sizable |
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DIF items on reported scores after re-equating. The DIF |
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dissection approach and the two-way classification scheme |
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may yield new and detailed insight into item functioning |
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at the subgroup level. Two hypotheses are studied: (1) |
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whether or not the deletion of a sizeable DIF item that |
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is the most disadvantageous to a particular subgroup will |
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affect the scores for that subgroup the most; and (2) |
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whether or not the effects of item deletion on scores can |
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be predicted by the standardization method. Both |
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hypotheses are supported by the results of this research. |
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The following are appended: (1) Summary of Two-Way "STD |
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FS-DIF" Effects and Unrounded Observed Scaled Score |
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Differences for the Subgroups after DIF Item Deletion; |
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and (2) The Local Approximation Algorithm. |
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Date Published: 2016-04-22 01:36:06 |
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Identifier: ERIC_ED563094 |
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Item Size: 10850305 |
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Language: english |
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Media Type: texts |
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# Topics |
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ERIC Archive; Test Bias; Test Items; ... |
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# Collections |
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ericarchive |
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additional_collections |
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# Uploaded by |
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@chris85 |
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