Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Bayesian Statistics | 3 |
| Classification | 3 |
| Testing | 3 |
| Scores | 2 |
| Ability | 1 |
| Accuracy | 1 |
| Achievement | 1 |
| Algorithms | 1 |
| College Students | 1 |
| Computer Assisted Testing | 1 |
| Computer Science Education | 1 |
| More ▼ | |
Author
| Dalia Khairy | 1 |
| Jones, W. Paul | 1 |
| Marwa F. Areed | 1 |
| Mohamed A. Amasha | 1 |
| Nouf Alharbi | 1 |
| Rania A. Abougalala | 1 |
| Salem Alkhalaf | 1 |
| Steinheiser, Frederick, Jr. | 1 |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
| Reports - General | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Myers Briggs Type Indicator | 1 |
What Works Clearinghouse Rating
Direct linkDalia Khairy; Nouf Alharbi; Mohamed A. Amasha; Marwa F. Areed; Salem Alkhalaf; Rania A. Abougalala – Education and Information Technologies, 2024
Student outcomes are of great importance in higher education institutions. Accreditation bodies focus on them as an indicator to measure the performance and effectiveness of the institution. Forecasting students' academic performance is crucial for every educational establishment seeking to enhance performance and perseverance of its students and…
Descriptors: Prediction, Tests, Scores, Information Retrieval
Peer reviewedJones, W. Paul – Measurement and Evaluation in Counseling and Development, 1993
Investigated model for reducing time for administration of Myers-Briggs Type Indicator (MBTI) using real-data simulation of Bayesian scaling in computerized adaptive administration. Findings from simulation study using data from 127 undergraduates are strongly supportive of use of Bayesian scaled computerized adaptive administration of MBTI.…
Descriptors: Bayesian Statistics, Classification, College Students, Computer Assisted Testing
Download full textSteinheiser, Frederick, Jr. – 1975
Summarizing work which is part of an Army research program on Methodological Issues in the Construction of Criterion Referenced Tests, the focus of this paper is on a Bayesian model, which gives the probability of correctly classifying an examiner as a master or as a nonmaster while taking into consideration the test length and the mastery cut-off…
Descriptors: Ability, Achievement, Bayesian Statistics, Classification
