Elicited Imitation (EI), which is a way of assessing language learners' speaking, has been used for years. Furthermore, there have been many studies done showing rater bias (variance in test ratings associated with a specific rater and attributable to the attributes of a test taker) in language assessment. In this project, I evaluated possible rater bias, focusing mostly on bias attributable to raters' and test takers' language backgrounds, as seen in EI ratings. I reviewed literature on test rater bias, participated in a study of language background and rater bias, and produced recommendations for reducing bias in EI administration. Also, based on possible rater bias effects discussed in the literature I reviewed and on results of the research study I participated in, I created a registration tool to collect raters' background information that might be helpful in evaluating and reducing rater bias in future EI testing. My project also involved producing a co-authored research paper. In that paper we found no bias effect based on rater first or second language background.
| Identifer | oai:union.ndltd.org:BGMYU2/oai:scholarsarchive.byu.edu:etd-3262 |
| Date | 16 July 2010 |
| Creators | Son, Min Hye |
| Publisher | BYU ScholarsArchive |
| Source Sets | Brigham Young University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Theses and Dissertations |
| Rights | http://lib.byu.edu/about/copyright/ |
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