Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

NEW FACETS을 활용한 채점자료 분석방법

Full metadata record
DC Field Value Language
dc.contributor.author신동일-
dc.contributor.author설현수-
dc.date.accessioned2023-02-16T01:41:25Z-
dc.date.available2023-02-16T01:41:25Z-
dc.date.issued2005-
dc.identifier.issn1226-4628-
dc.identifier.issn2384-1427-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60682-
dc.description.abstractRecent developments in multifaceted Rasch measurement (Linacre, 1989) have made possible new kinds of investigations of facets of speaking test samples. The Rasch measurement, implemented through the computer program FACETS 3.56 version, can provide useful information in separate graphics and tables for the facets (e.g., test takers’ ability, item difficulty, and rater severity, bias analyses). This study investigates the roles of newly updated FACETS in the context of rater monitoring of English speaking test. Data for this study came from G-TELP Speaking Test. The performance of 50 candidates on the speaking test was multiply rated and analyzed using the most updated FACETS version of Rasch model. After exploring the extent to which new graphics and analyses tables of new FACETS are useful in rater monitoring, it was suggested that other tester groups should bring analytic tools like FACETS to effectively analyze raters’ consistency patterns as well as other rating patterns of individual raters for specific test tasks and criteria.-
dc.format.extent22-
dc.publisher한국외국어교육학회-
dc.titleNEW FACETS을 활용한 채점자료 분석방법-
dc.title.alternativeUnderstanding rating patterns through New FACETS program-
dc.typeArticle-
dc.identifier.bibliographicCitationForeign Languages Education, v.12, no.2, pp 191 - 212-
dc.identifier.kciidART001106698-
dc.description.isOpenAccessN-
dc.citation.endPage212-
dc.citation.number2-
dc.citation.startPage191-
dc.citation.titleForeign Languages Education-
dc.citation.volume12-
dc.identifier.urlhttps://www.dbpia.co.kr/Journal/articleDetail?nodeId=NODE10995481-
dc.publisher.location대한민국-
dc.subject.keywordAuthortesting/rater training-
dc.subject.keywordAuthor평가/채점자 훈련-
dc.description.journalRegisteredClasskci-
Files in This Item
Go to Link
Appears in
Collections
College of Humanities > Department of English Language and Literature > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Shin, Dong Il photo

Shin, Dong Il
인문대학 (영어영문학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE