Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 2 |
Descriptor
Cheating | 2 |
Statistical Analysis | 2 |
Elementary School Students | 1 |
Family School Relationship | 1 |
Goal Orientation | 1 |
Grade 5 | 1 |
Grade 6 | 1 |
Grade 7 | 1 |
Grade 8 | 1 |
Identification | 1 |
Mathematics Tests | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Elementary Education | 2 |
Intermediate Grades | 2 |
Middle Schools | 2 |
Grade 5 | 1 |
Grade 6 | 1 |
Grade 7 | 1 |
Grade 8 | 1 |
Junior High Schools | 1 |
Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
Patterns of Adaptive Learning… | 1 |
What Works Clearinghouse Rating
The Use of Theory of Linear Mixed-Effects Models to Detect Fraudulent Erasures at an Aggregate Level
Peng, Luyao; Sinharay, Sandip – Educational and Psychological Measurement, 2022
Wollack et al. (2015) suggested the erasure detection index (EDI) for detecting fraudulent erasures for individual examinees. Wollack and Eckerly (2017) and Sinharay (2018) extended the index of Wollack et al. (2015) to suggest three EDIs for detecting fraudulent erasures at the aggregate or group level. This article follows up on the research of…
Descriptors: Cheating, Identification, Statistical Analysis, Testing
Tyler, Kenneth M. – Middle Grades Research Journal, 2015
Academic cheating within the middle grades has become a prevalent schooling dilemma for teachers and administrators. Among the various contextual and cognitive factors that promote academic cheating is home-school dissonance, which has been shown to predict the phenomenon among high school students. The current study extends this line of research…
Descriptors: Predictor Variables, Middle School Students, Urban Youth, Cheating