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.
College and Department
Humanities; Linguistics and English Language
BYU ScholarsArchive Citation
Son, Min Hye, "Examining Rater Bias in Elicited Imitation Scoring: Influence of Rater's L1 and L2 Background to the Ratings" (2010). Theses and Dissertations. 2263.
Elicited Imitation, Rater bias, Language Assessment, Rating