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Wendler, Cathy; Glazer, Nancy; Cline, Frederick – ETS Research Report Series, 2019
One of the challenges in scoring constructed-response (CR) items and tasks is ensuring that rater drift does not occur during or across scoring windows. Rater drift reflects changes in how raters interpret and use established scoring criteria to assign essay scores. Calibration is a process used to help control rater drift and, as such, serves as…
Descriptors: College Entrance Examinations, Graduate Study, Accuracy, Test Reliability
Finn, Bridgid; Wendler, Cathy; Ricker-Pedley, Kathryn L.; Arslan, Burcu – ETS Research Report Series, 2018
This report investigates whether the time between scoring sessions has an influence on operational and nonoperational scoring accuracy. The study evaluates raters' scoring accuracy on constructed-response essay responses for the "GRE"® General Test. Binomial linear mixed-effect models are presented that evaluate how the effect of various…
Descriptors: Intervals, Scoring, Accuracy, Essay Tests
Zhang, Mo – ETS Research Report Series, 2013
Many testing programs use automated scoring to grade essays. One issue in automated essay scoring that has not been examined adequately is population invariance and its causes. The primary purpose of this study was to investigate the impact of sampling in model calibration on population invariance of automated scores. This study analyzed scores…
Descriptors: Automation, Scoring, Essay Tests, Sampling
Attali, Yigal; Lewis, Will; Steier, Michael – Language Testing, 2013
Automated essay scoring can produce reliable scores that are highly correlated with human scores, but is limited in its evaluation of content and other higher-order aspects of writing. The increased use of automated essay scoring in high-stakes testing underscores the need for human scoring that is focused on higher-order aspects of writing. This…
Descriptors: Scoring, Essay Tests, Reliability, High Stakes Tests
Bejar, Isaac I.; VanWinkle, Waverely; Madnani, Nitin; Lewis, William; Steier, Michael – ETS Research Report Series, 2013
The paper applies a natural language computational tool to study a potential construct-irrelevant response strategy, namely the use of "shell language." Although the study is motivated by the impending increase in the volume of scoring of students responses from assessments to be developed in response to the Race to the Top initiative,…
Descriptors: Responses, Language Usage, Natural Language Processing, Computational Linguistics
Ramineni, Chaitanya; Trapani, Catherine S.; Williamson, David M.; Davey, Tim; Bridgeman, Brent – ETS Research Report Series, 2012
Automated scoring models for the "e-rater"® scoring engine were built and evaluated for the "GRE"® argument and issue-writing tasks. Prompt-specific, generic, and generic with prompt-specific intercept scoring models were built and evaluation statistics such as weighted kappas, Pearson correlations, standardized difference in…
Descriptors: Scoring, Test Scoring Machines, Automation, Models
Carlson, Sybil B.; Camp, Roberta – 1985
This paper reports on Educational Testing Service research studies investigating the parameters critical to reliability and validity in both the direct and indirect writing ability assessment of higher education applicants. The studies involved: (1) formulating an operational definition of writing competence; (2) designing and pretesting writing…
Descriptors: College Entrance Examinations, Computer Assisted Testing, English (Second Language), Essay Tests
Carlson, Sybil B.; And Others – 1985
Four writing samples were obtained from 638 foreign college applicants who represented three major foreign language groups (Arabic, Chinese, and Spanish), and from 60 native English speakers. All four were scored holistically, two were also scored for sentence-level and discourse-level skills, and some were scored by the Writer's Workbench…
Descriptors: Arabic, Chinese, College Entrance Examinations, Computer Software