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Finn, Bridgid; Arslan, Burcu; Walsh, Matthew – Applied Measurement in Education, 2020
To score an essay response, raters draw on previously trained skills and knowledge about the underlying rubric and score criterion. Cognitive processes such as remembering, forgetting, and skill decay likely influence rater performance. To investigate how forgetting influences scoring, we evaluated raters' scoring accuracy on TOEFL and GRE essays.…
Descriptors: Epistemology, Essay Tests, Evaluators, Cognitive Processes
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
Buzick, Heather; Oliveri, Maria Elena; Attali, Yigal; Flor, Michael – Applied Measurement in Education, 2016
Automated essay scoring is a developing technology that can provide efficient scoring of large numbers of written responses. Its use in higher education admissions testing provides an opportunity to collect validity and fairness evidence to support current uses and inform its emergence in other areas such as K-12 large-scale assessment. In this…
Descriptors: Essays, Learning Disabilities, Attention Deficit Hyperactivity Disorder, Scoring
Sebrechts, Marc M.; And Others – 1991
This study evaluated agreement between expert system and human scores on 12 algebra word problems taken by Graduate Record Examinations (GRE) General Test examinees from a general sample of 285 and a study sample of 30. Problems were drawn from three content classes (rate x time, work, and interest) and presented in four constructed-response…
Descriptors: Algebra, Automation, College Students, Computer Assisted Testing