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An Exploration of Kernel Equating Using SAT Data: Equating to a Similar Population and to a Distant Population KE SAT

Author(s):
Liu, Jinghua; Low, Albert C.
Publication Year:
2007
Report Number:
RR-07-17
Source:
ETS Research Report
Document Type:
Report
Page Count:
22
Subject/Key Words:
Kernel Equating (KE), Scholastic Aptitude Test (SAT), Test Equating

Abstract

This study applied kernel equating (KE) in two scenarios: equating to a very similar population and equating to a very different population, referred to as a distant population, using SAT data. The KE results were compared to the results obtained from analogous classical equating methods in both scenarios. The results indicate that KE results are comparable to the results of other methods. Further, the results show that when the two populations taking the two tests are similar on the anchor score distributions, different equating methods yield the same or very similar results, even though they have different assumptions.

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