Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 3 |
Descriptor
Author
| Albert, James H. | 1 |
| Chengyu Cui | 1 |
| Chun Wang | 1 |
| Feng, Mingyu, Ed. | 1 |
| Gongjun Xu | 1 |
| Hirsch, Thomas M. | 1 |
| Hu, Ann | 1 |
| Käser, Tanja, Ed. | 1 |
| Li, Sylvia | 1 |
| Luecht, Richard M. | 1 |
| Meisner, Richard | 1 |
| More ▼ | |
Publication Type
| Reports - Evaluative | 3 |
| Reports - Research | 2 |
| Collected Works - Proceedings | 1 |
| Journal Articles | 1 |
| Numerical/Quantitative Data | 1 |
Education Level
| Elementary Secondary Education | 1 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Big Five Inventory | 1 |
| Measures of Academic Progress | 1 |
| Trends in International… | 1 |
What Works Clearinghouse Rating
Download full textMeyer, J. Patrick; Hu, Ann; Li, Sylvia – NWEA, 2023
The Content Proximity Project was designed to improve the content validity of the MAP® Growth™ assessments while retaining the ability for the test to adapt off-grade and meet students wherever they are in their learning. Two main features of the project were the development of an enhanced item selection algorithm, and a spring pilot study…
Descriptors: Achievement Tests, Mathematics Achievement, Content Validity, Mathematics Tests
Direct linkChengyu Cui; Chun Wang; Gongjun Xu – Grantee Submission, 2024
Multidimensional item response theory (MIRT) models have generated increasing interest in the psychometrics literature. Efficient approaches for estimating MIRT models with dichotomous responses have been developed, but constructing an equally efficient and robust algorithm for polytomous models has received limited attention. To address this gap,…
Descriptors: Item Response Theory, Accuracy, Simulation, Psychometrics
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
The Comparability of the Statistical Characteristics of Test Items Generated by Computer Algorithms.
Meisner, Richard; And Others – 1993
This paper presents a study on the generation of mathematics test items using algorithmic methods. The history of this approach is briefly reviewed and is followed by a survey of the research to date on the statistical parallelism of algorithmically generated mathematics items. Results are presented for 8 parallel test forms generated using 16…
Descriptors: Algorithms, Comparative Analysis, Computer Assisted Testing, Item Banks
Luecht, Richard M.; Hirsch, Thomas M. – 1990
The derivation of several item selection algorithms for use in fitting test items to target information functions is described. These algorithms circumvent iterative solutions by using the criteria of moving averages of the distance to a target information function and simultaneously considering an entire range of ability points used to condition…
Descriptors: Ability, Algorithms, College Entrance Examinations, Computer Assisted Testing
Peer reviewedAlbert, James H. – Journal of Educational Statistics, 1992
Estimating item parameters from a two-parameter normal ogive model is considered using Gibbs sampling to simulate draws from the joint posterior distribution of ability and item parameters. The method gives marginal posterior density estimates for any parameter of interest, as illustrated using data from a 33-item mathematics placement…
Descriptors: Algorithms, Bayesian Statistics, Equations (Mathematics), Estimation (Mathematics)
