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Ramineni, Chaitanya; Williamson, David – ETS Research Report Series, 2018
Notable mean score differences for the "e-rater"® automated scoring engine and for humans for essays from certain demographic groups were observed for the "GRE"® General Test in use before the major revision of 2012, called rGRE. The use of e-rater as a check-score model with discrepancy thresholds prevented an adverse impact…
Descriptors: Scores, Computer Assisted Testing, Test Scoring Machines, Automation
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Ramineni, Chaitanya; Trapani, Catherine S.; Williamson, David M. – ETS Research Report Series, 2015
Automated scoring models were trained and evaluated for the essay task in the "Praxis I"® writing test. Prompt-specific and generic "e-rater"® scoring models were built, and evaluation statistics, such as quadratic weighted kappa, Pearson correlation, and standardized differences in mean scores, were examined to evaluate the…
Descriptors: Writing Tests, Licensing Examinations (Professions), Teacher Competency Testing, Scoring
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Beigman Klebanov, Beata; Ramineni, Chaitanya; Kaufer, David; Yeoh, Paul; Ishizaki, Suguru – Language Testing, 2019
Essay writing is a common type of constructed-response task used frequently in standardized writing assessments. However, the impromptu timed nature of the essay writing tests has drawn increasing criticism for the lack of authenticity for real-world writing in classroom and workplace settings. The goal of this paper is to contribute evidence to a…
Descriptors: Test Validity, Writing Tests, Writing Skills, Persuasive Discourse
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Ramineni, Chaitanya; Williamson, David M. – Assessing Writing, 2013
In this paper, we provide an overview of psychometric procedures and guidelines Educational Testing Service (ETS) uses to evaluate automated essay scoring for operational use. We briefly describe the e-rater system, the procedures and criteria used to evaluate e-rater, implications for a range of potential uses of e-rater, and directions for…
Descriptors: Educational Testing, Guidelines, Scoring, Psychometrics
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Ramineni, Chaitanya – Assessing Writing, 2013
In this paper, I describe the design and evaluation of automated essay scoring (AES) models for an institution's writing placement program. Information was gathered on admitted student writing performance at a science and technology research university in the northeastern United States. Under timed conditions, first-year students (N = 879) were…
Descriptors: Validity, Comparative Analysis, Internet, Student Placement