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Fitting MD analysis in an argument-based validity framework for writing assessment: Explanation and generalization inferences for the ECPE ...
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Fitting MD analysis in an argument-based validity framework for writing assessment: Explanation and generalization inferences for the ECPE ...
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LT_Supplemental_Material – Supplemental material for Fitting MD analysis in an argument-based validity framework for writing assessment: Explanation and generalization inferences for the ECPE ...
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LT_Supplemental_Material – Supplemental material for Fitting MD analysis in an argument-based validity framework for writing assessment: Explanation and generalization inferences for the ECPE ...
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Provider Information Provision and Breast Cancer Patient Well-Being
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In: Communication Faculty Publications and Presentations (2019)
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Examining the Effectiveness of Corpus-Informed Instruction of Reporting Verbs in L2 First-Year College Writing
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In: Shin, Ji-young; Velázquez, Ashley J.; Swatek, Aleksandra; Staples, Shelley; & Partridge, R. Scott. (2018). Examining the Effectiveness of Corpus-Informed Instruction of Reporting Verbs in L2 First-Year College Writing. L2 Journal, 10(3). doi:10.5070/L210337022. Retrieved from: http://www.escholarship.org/uc/item/7wb651t7 (2018)
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Using corpus linguistics to examine the extrapolation inference in the validity argument for a high-stakes speaking assessment
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Abstract:
Investigations of the validity of a number of high-stakes language assessments are conducted using an argument-based approach, which requires evidence for inferences that are critical to score interpretation (Chapelle, Enright, & Jamieson, 2008b; Kane, 2013). The current study investigates the extrapolation inference for a high-stakes test of spoken English, the Michigan English Language Assessment Battery (MELAB) speaking task. This inference requires evidence that supports the inferential step from observations of what test takers can do on an assessment to what they can do in the target domain (Chapelle et al., 2008b; Kane, 2013). Typically, the extrapolation inference has been supported by evidence from a criterion measure of language ability. This study proposes an additional empirical method, namely corpus-based register analysis (Biber & Conrad, 2009), which provides a quantitative framework for examining the linguistic relationship between performance assessments and the domains to which their scores are extrapolated. This approach extends Bachman and Palmer’s (2010) focus on the target language use (TLU) domain analysis in their study of assessment use arguments by providing a quantitative approach for the study of language. We first explain the connections between corpus-based register analysis and TLU analysis. Second, an investigation of the MELAB speaking task compares the language of test-taker responses to the language of academic, professional, and conversational spoken registers, or TLU domains. Additionally, the language features at different performance levels within the MELAB speaking task are investigated to determine the relationship between test takers’ scores and their language use in the task. Following previous studies using corpus-based register analysis, we conduct a multi-dimensional (MD) analysis for our investigation. The comparison of the language features from the MELAB with the language of TLU domains revealed that support for the extrapolation inference varies across dimensions of language use. ; CaMLA Spaan Research Grant Program
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Keyword:
corpus linguistics; domain analysis; multi-dimensional analysis; performance assessment; register analysis; validity argument
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URL: http://journals.sagepub.com/doi/full/10.1177/0265532217713951 http://hdl.handle.net/10125/56004
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American English Pronunciation and the Internationally Educated Nurse
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In: Public Health Faculty Publications (2013)
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The discourse of nurse-patient interactions : contrasting the communicative styles of U.S. and international nurses
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IDS Mannheim
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