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
Computation | 3 |
Foreign Countries | 3 |
Simulation | 3 |
Models | 2 |
Adults | 1 |
Artificial Intelligence | 1 |
College Entrance Examinations | 1 |
College Students | 1 |
Colleges | 1 |
Computer Software | 1 |
Correlation | 1 |
More ▼ |
Author
Dumenci, Levent | 1 |
Hu, Jun | 1 |
Jin, Kuan-Yu | 1 |
Lv, Yingchun | 1 |
Qiu, Xue-Lan | 1 |
Wang, Lei | 1 |
Wang, Wen-Chung | 1 |
Yang, Yang | 1 |
Yates, Phillip D. | 1 |
Zhang, Mu | 1 |
Publication Type
Journal Articles | 3 |
Reports - Research | 3 |
Education Level
Higher Education | 3 |
Postsecondary Education | 3 |
Audience
Location
China | 3 |
Hong Kong | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
Self Directed Search | 1 |
What Works Clearinghouse Rating
Wang, Wen-Chung; Jin, Kuan-Yu; Qiu, Xue-Lan; Wang, Lei – Journal of Educational Measurement, 2012
In some tests, examinees are required to choose a fixed number of items from a set of given items to answer. This practice creates a challenge to standard item response models, because more capable examinees may have an advantage by making wiser choices. In this study, we developed a new class of item response models to account for the choice…
Descriptors: Item Response Theory, Test Items, Selection, Models
Yang, Yang; Hu, Jun; Lv, Yingchun; Zhang, Mu – Higher Education Studies, 2013
As the tourism industry has gradually become the strategic mainstay industry of the national economy, the scope of the tourism discipline has developed rigorously. This paper makes a predictive study on the development of the scope of Guangdong provincial tourism discipline based on the artificial neural network BP model in order to find out how…
Descriptors: Tourism, Foreign Countries, Industry, Artificial Intelligence
Dumenci, Levent; Yates, Phillip D. – Educational and Psychological Measurement, 2012
Estimation problems associated with the correlated-trait correlated-method (CTCM) parameterization of a multitrait-multimethod (MTMM) matrix are widely documented: the model often fails to converge; even when convergence is achieved, one or more of the parameter estimates are outside the admissible parameter space. In this study, the authors…
Descriptors: Correlation, Models, Multitrait Multimethod Techniques, Matrices