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McGrane, Joshua Aaron; Humphry, Stephen Mark; Heldsinger, Sandra – Applied Measurement in Education, 2018
National standardized assessment programs have increasingly included extended written performances, amplifying the need for reliable, valid, and efficient methods of assessment. This article examines a two-stage method using comparative judgments and calibrated exemplars as a complement and alternative to existing methods of assessing writing.…
Descriptors: Standardized Tests, Foreign Countries, Writing Tests, Writing Evaluation
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
Wyse, Adam E.; Bunch, Michael B.; Deville, Craig; Viger, Steven G. – Educational and Psychological Measurement, 2014
This article describes a novel variation of the Body of Work method that uses construct maps to overcome problems of transparency, rater inconsistency, and scores gaps commonly occurring with the Body of Work method. The Body of Work method with construct maps was implemented to set cut-scores for two separate K-12 assessment programs in a large…
Descriptors: Standard Setting (Scoring), Educational Assessment, Elementary Secondary Education, Measurement
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

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