التفاصيل البيبلوغرافية
| العنوان: |
Detecting Test Fraud Using Bayes Factors |
| اللغة: |
English |
| المؤلفون: |
Sinharay, Sandip (ORCID 0000-0003-4491-8510), Johnson, Matthew S. |
| المصدر: |
Grantee Submission. 2019. |
| Peer Reviewed: |
Y |
| Page Count: |
27 |
| تاريخ النشر: |
2019 |
| Sponsoring Agency: |
Institute of Education Sciences (ED) |
| Contract Number: |
R305D170026 |
| نوع الوثيقة: |
Reports - Research |
| Descriptors: |
Cheating, Deception, Statistical Analysis, Bayesian Statistics, Scores, Hypothesis Testing, Identification |
| مستخلص: |
According to Wollack and Schoenig (2018), score differencing is one of six types of statistical methods used to detect test fraud. In this paper, we suggested the use of Bayes factors (e.g., Kass & Raftery, 1995) for score differencing. A simulation study shows that the suggested approach performs slightly better than an existing frequentist approach. We also demonstrate the usefulness of the suggested approach using a real data example. [This is the advance online version of a paper published in "Behaviormetrika" (2020).] |
| Abstractor: |
As Provided |
| IES Funded: |
Yes |
| Entry Date: |
2020 |
| رقم الأكسشن: |
ED606501 |
| قاعدة البيانات: |
ERIC |
