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Yao, Lili; Haberman, Shelby J.; Zhang, Mo – ETS Research Report Series, 2019
Many assessments of writing proficiency that aid in making high-stakes decisions consist of several essay tasks evaluated by a combination of human holistic scores and computer-generated scores for essay features such as the rate of grammatical errors per word. Under typical conditions, a summary writing score is provided by a linear combination…
Descriptors: Prediction, True Scores, Computer Assisted Testing, Scoring
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Breyer, F. Jay; Rupp, André A.; Bridgeman, Brent – ETS Research Report Series, 2017
In this research report, we present an empirical argument for the use of a contributory scoring approach for the 2-essay writing assessment of the analytical writing section of the "GRE"® test in which human and machine scores are combined for score creation at the task and section levels. The approach was designed to replace a currently…
Descriptors: College Entrance Examinations, Scoring, Essay Tests, Writing Evaluation
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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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Attali, Yigal; Sinharay, Sandip – ETS Research Report Series, 2015
The "e-rater"® automated essay scoring system is used operationally in the scoring of the argument and issue tasks that form the Analytical Writing measure of the "GRE"® General Test. For each of these tasks, this study explored the value added of reporting 4 trait scores for each of these 2 tasks over the total e-rater score.…
Descriptors: Scores, Computer Assisted Testing, Computer Software, Grammar
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Liu, Ou Lydia; Bridgeman, Brent; Gu, Lixiong; Xu, Jun; Kong, Nan – Educational and Psychological Measurement, 2015
Research on examinees' response changes on multiple-choice tests over the past 80 years has yielded some consistent findings, including that most examinees make score gains by changing answers. This study expands the research on response changes by focusing on a high-stakes admissions test--the Verbal Reasoning and Quantitative Reasoning measures…
Descriptors: College Entrance Examinations, High Stakes Tests, Graduate Study, Verbal Ability
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Attali, Yigal; Bridgeman, Brent; Trapani, Catherine – Journal of Technology, Learning, and Assessment, 2010
A generic approach in automated essay scoring produces scores that have the same meaning across all prompts, existing or new, of a writing assessment. This is accomplished by using a single set of linguistic indicators (or features), a consistent way of combining and weighting these features into essay scores, and a focus on features that are not…
Descriptors: Writing Evaluation, Writing Tests, Scoring, Test Scoring Machines
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Davey, Tim; Lee, Yi-Hsuan – ETS Research Report Series, 2011
Both theoretical and practical considerations have led the revision of the Graduate Record Examinations® (GRE®) revised General Test, here called the rGRE, to adopt a multistage adaptive design that will be continuously or nearly continuously administered and that can provide immediate score reporting. These circumstances sharply constrain the…
Descriptors: Context Effect, Scoring, Equated Scores, College Entrance Examinations
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Attali, Yigal; Powers, Don; Hawthorn, John – ETS Research Report Series, 2008
Registered examinees for the GRE® General Test answered open-ended sentence-completion items. For half of the items, participants received immediate feedback on the correctness of their answers and up to two opportunities to revise their answers. A significant feedback-and-revision effect was found. Participants were able to correct many of their…
Descriptors: College Entrance Examinations, Graduate Study, Sentences, Psychometrics
Schaeffer, Gary A.; And Others – 1993
This report contains results of a field test conducted to determine the relationship between a Graduate Records Examination (GRE) linear computer-based test (CBT) and a paper-and-pencil (P&P) test with the same items. Recent GRE examinees participated in the field test by taking either a CBT or the P&P test. Data from the field test…
Descriptors: Attitudes, College Graduates, Computer Assisted Testing, Equated Scores
Slater, Sharon C.; Schaeffer, Gary A. – 1996
The General Computer Adaptive Test (CAT) of the Graduate Record Examinations (GRE) includes three operational sections that are separately timed and scored. A "no score" is reported if the examinee answers fewer than 80% of the items or if the examinee does not answer all of the items and leaves the section before time expires. The 80%…
Descriptors: Adaptive Testing, College Students, Computer Assisted Testing, Equal Education
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Bennett, Randy Elliot; Morley, Mary; Quardt, Dennis; Rock, Donald A.; Singley, Mark K.; Katz, Irvin R.; Nhouyvanisvong, Adisack – Journal of Educational Measurement, 1999
Evaluated a computer-delivered response type for measuring quantitative skill, the "Generating Examples" (GE) response type, which presents under-determined problems that can have many right answers. Results from 257 graduate students and applicants indicate that GE scores are reasonably reliable, but only moderately related to Graduate…
Descriptors: College Applicants, Computer Assisted Testing, Graduate Students, Graduate Study
Schaeffer, Gary A.; And Others – 1995
This report summarizes the results from two studies. The first assessed the comparability of scores derived from linear computer-based (CBT) and computer adaptive (CAT) versions of the three Graduate Record Examinations (GRE) General Test measures. A verbal CAT was taken by 1,507, a quantitative CAT by 1,354, and an analytical CAT by 995…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Equated Scores
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
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Bridgeman, Brent – Journal of Educational Measurement, 1992
Examinees in a regular administration of the quantitative portion of the Graduate Record Examination responded to particular items in a machine-scannable multiple-choice format. Volunteers (n=364) used a computer to answer open-ended counterparts of these items. Scores for both formats demonstrated similar correlational patterns. (SLD)
Descriptors: Answer Sheets, College Entrance Examinations, College Students, Comparative Testing