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ERIC Number: EJ1111601
Record Type: Journal
Publication Date: 2007-Apr
Pages: 30
Abstractor: As Provided
ISSN: EISSN-2330-8516
An Exploration of Kernel Equating Using SAT® Data: Equating to a Similar Population and to a Distant Population. Research Report. ETS RR-07-17
Liu, Jinghua; Low, Albert C.
ETS Research Report Series, Apr 2007
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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Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Assessments and Surveys: Praxis Series; SAT (College Admission Test)
Grant or Contract Numbers: N/A