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dc.contributor.authorBijani, H
dc.contributor.authorHashempour, B
dc.contributor.authorIbrahim, KAA-A
dc.contributor.authorOrabah, SSB
dc.contributor.authorHeydarnejad, T
dc.date.accessioned2022-10-24T08:01:58Z
dc.date.issued2022-09-05
dc.date.updated2022-10-22T12:57:24Z
dc.description.abstractDue to subjectivity in oral assessment, much concentration has been put on obtaining a satisfactory measure of consistency among raters. However, the process for obtaining more consistency might not result in valid decisions. One matter that is at the core of both reliability and validity in oral assessment is rater training. Recently, multifaceted Rasch measurement (MFRM) has been adopted to address the problem of rater bias and inconsistency in scoring; however, no research has incorporated the facets of test takers’ ability, raters’ severity, task difficulty, group expertise, scale criterion category, and test version together in a piece of research along with their two-sided impacts. Moreover, little research has investigated how long rater training effects last. Consequently, this study explored the influence of the training program and feedback by having 20 raters score the oral production produced by 300 test-takers in three phases. The results indicated that training can lead to more degrees of interrater reliability and diminished measures of severity/leniency, and biasedness. However, it will not lead the raters into total unanimity, except for making them more self-consistent. Even though rater training might result in higher internal consistency among raters, it cannot simply eradicate individual differences related to their characteristics. That is, experienced raters, due to their idiosyncratic characteristics, did not benefit as much as inexperienced ones. This study also showed that the outcome of training might not endure in long term after training; thus, it requires ongoing training throughout the rating period letting raters regain consistency.en_GB
dc.format.extent26-
dc.identifier.citationVol. 12, article 26en_GB
dc.identifier.doihttps://doi.org/10.1186/s40468-022-00176-3
dc.identifier.urihttp://hdl.handle.net/10871/131386
dc.language.isoenen_GB
dc.publisherSpringeren_GB
dc.rights© The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_GB
dc.subjectBiasen_GB
dc.subjectInterrater consistencyen_GB
dc.subjectMultifaceted Rasch measurement (MFRM)en_GB
dc.subjectRater trainingen_GB
dc.subjectSeverity/leniencyen_GB
dc.titleInvestigating the effect of classroom-based feedback on speaking assessment: a multifaceted Rasch analysisen_GB
dc.typeArticleen_GB
dc.date.available2022-10-24T08:01:58Z
dc.identifier.issn2229-0443
exeter.article-number26
dc.descriptionThis is the final version. Available on open access from Springer via the DOI in this recorden_GB
dc.descriptionAvailability of data and materials; The data will be available upon requesting.en_GB
dc.identifier.eissn2229-0443
dc.identifier.journalLanguage Testing in Asiaen_GB
dc.relation.ispartofLanguage Testing in Asia, 12(1)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-07-20
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-09-05
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-10-24T08:00:41Z
refterms.versionFCDVoR
refterms.dateFOA2022-10-24T08:02:03Z
refterms.panelCen_GB
refterms.dateFirstOnline2022-09-05


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© The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's licence is described as © The Author(s) 2022. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.