Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Probability | 3 |
| Statistical Analysis | 3 |
| Achievement Gains | 2 |
| Bayesian Statistics | 2 |
| Cheating | 2 |
| Identification | 2 |
| Achievement Tests | 1 |
| Computer Assisted Testing | 1 |
| Item Response Theory | 1 |
| Regression (Statistics) | 1 |
| Scores | 1 |
| More ▼ | |
Author
| Sinharay, Sandip | 3 |
| Johnson, Matthew S. | 2 |
| Choi, Seung W. | 1 |
| Kim, Dong-In | 1 |
| Wan, Ping | 1 |
| Whitaker, Mike | 1 |
| Zhang, Litong | 1 |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Indiana Statewide Testing for… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Download full text
Direct linkSinharay, Sandip; Johnson, Matthew S. – Journal of Educational and Behavioral Statistics, 2021
Score differencing is one of the six categories of statistical methods used to detect test fraud (Wollack & Schoenig, 2018) and involves the testing of the null hypothesis that the performance of an examinee is similar over two item sets versus the alternative hypothesis that the performance is better on one of the item sets. We suggest, to…
Descriptors: Probability, Bayesian Statistics, Cheating, Statistical Analysis
Sinharay, Sandip; Johnson, Matthew S. – Grantee Submission, 2021
Score differencing is one of six categories of statistical methods used to detect test fraud (Wollack & Schoenig, 2018) and involves the testing of the null hypothesis that the performance of an examinee is similar over two item sets versus the alternative hypothesis that the performance is better on one of the item sets. We suggest, to…
Descriptors: Probability, Bayesian Statistics, Cheating, Statistical Analysis
Sinharay, Sandip; Wan, Ping; Whitaker, Mike; Kim, Dong-In; Zhang, Litong; Choi, Seung W. – Journal of Educational Measurement, 2014
With an increase in the number of online tests, interruptions during testing due to unexpected technical issues seem unavoidable. For example, interruptions occurred during several recent state tests. When interruptions occur, it is important to determine the extent of their impact on the examinees' scores. There is a lack of research on this…
Descriptors: Computer Assisted Testing, Testing Problems, Scores, Regression (Statistics)
