Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
College Entrance Examinations | 2 |
Graduate Study | 2 |
Models | 2 |
Prediction | 2 |
Regression (Statistics) | 2 |
Statistical Analysis | 2 |
Test Construction | 2 |
Test Items | 2 |
Automation | 1 |
Classification | 1 |
Difficulty Level | 1 |
More ▼ |
Source
ETS Research Report Series | 2 |
Author
Bejar, Isaac I. | 1 |
Chen, Jing | 1 |
Deane, Paul D. | 1 |
Flor, Michael | 1 |
Futagi, Yoko | 1 |
Hemat, Ramin | 1 |
Kostin, Irene | 1 |
Sheehan, Kathleen M. | 1 |
Zuckerman, Daniel | 1 |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Numerical/Quantitative Data | 1 |
Education Level
Higher Education | 2 |
Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Graduate Record Examinations | 2 |
What Works Clearinghouse Rating
Bejar, Isaac I.; Deane, Paul D.; Flor, Michael; Chen, Jing – ETS Research Report Series, 2017
The report is the first systematic evaluation of the sentence equivalence item type introduced by the "GRE"® revised General Test. We adopt a validity framework to guide our investigation based on Kane's approach to validation whereby a hierarchy of inferences that should be documented to support score meaning and interpretation is…
Descriptors: College Entrance Examinations, Graduate Study, Generalization, Inferences
Sheehan, Kathleen M.; Kostin, Irene; Futagi, Yoko; Hemat, Ramin; Zuckerman, Daniel – ETS Research Report Series, 2006
This paper describes the development, implementation, and evaluation of an automated system for predicting the acceptability status of candidate reading-comprehension stimuli extracted from a database of journal and magazine articles. The system uses a combination of classification and regression techniques to predict the probability that a given…
Descriptors: Automation, Prediction, Reading Comprehension, Classification