Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 3 |
Descriptor
Models | 3 |
Classification | 2 |
College Entrance Examinations | 2 |
Regression (Statistics) | 2 |
Writing Tests | 2 |
Accuracy | 1 |
Advanced Placement | 1 |
Advanced Placement Programs | 1 |
Aptitude Tests | 1 |
Automation | 1 |
Bias | 1 |
More ▼ |
Source
ETS Research Report Series | 3 |
Author
DeCarlo, Lawrence T. | 1 |
Futagi, Yoko | 1 |
Handwerk, Phil | 1 |
Hemat, Ramin | 1 |
Kostin, Irene | 1 |
Sheehan, Kathleen M. | 1 |
Zuckerman, Daniel | 1 |
Publication Type
Journal Articles | 3 |
Numerical/Quantitative Data | 3 |
Reports - Research | 3 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
High Schools | 1 |
Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Graduate Record Examinations | 1 |
National Merit Scholarship… | 1 |
Preliminary Scholastic… | 1 |
What Works Clearinghouse Rating
DeCarlo, Lawrence T. – ETS Research Report Series, 2008
Rater behavior in essay grading can be viewed as a signal-detection task, in that raters attempt to discriminate between latent classes of essays, with the latent classes being defined by a scoring rubric. The present report examines basic aspects of an approach to constructed-response (CR) scoring via a latent-class signal-detection model. The…
Descriptors: Scoring, Responses, Test Format, Bias
Handwerk, Phil – ETS Research Report Series, 2007
Online high schools are growing significantly in number, popularity, and function. However, little empirical data has been published about the effectiveness of these institutions. This research examined the frequency of group work and extended essay writing among online Advanced Placement Program® (AP®) students, and how these tasks may have…
Descriptors: Advanced Placement Programs, Advanced Placement, Computer Assisted Testing, Models
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