Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 3 |
Descriptor
| Selection | 3 |
| Test Format | 3 |
| Bayesian Statistics | 2 |
| Item Response Theory | 2 |
| College Students | 1 |
| Computer Assisted Testing | 1 |
| Criteria | 1 |
| Mathematics Tests | 1 |
| Methods | 1 |
| Models | 1 |
| National Competency Tests | 1 |
| More ▼ | |
Author
| Chang, Wanchen | 1 |
| Dodd, Barbara G. | 1 |
| Hepplestone, Stuart | 1 |
| Irwin, Brian | 1 |
| Luo, Yong | 1 |
| Whittaker, Tiffany A. | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Research | 2 |
| Reports - Evaluative | 1 |
Education Level
| Elementary Secondary Education | 1 |
| Grade 12 | 1 |
| Grade 4 | 1 |
| Grade 8 | 1 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkLuo, Yong – Measurement: Interdisciplinary Research and Perspectives, 2021
To date, only frequentist model-selection methods have been studied with mixed-format data in the context of IRT model-selection, and it is unknown how popular Bayesian model-selection methods such as DIC, WAIC, and LOO perform. In this study, we present the results of a comprehensive simulation study that compared the performances of eight…
Descriptors: Item Response Theory, Test Format, Selection, Methods
Irwin, Brian; Hepplestone, Stuart – Assessment & Evaluation in Higher Education, 2012
There have been calls in the literature for changes to assessment practices in higher education, to increase flexibility and give learners more control over the assessment process. This article explores the possibilities of allowing student choice in the format used to present their work, as a starting point for changing assessment, based on…
Descriptors: Student Evaluation, College Students, Selection, Computer Assisted Testing
Whittaker, Tiffany A.; Chang, Wanchen; Dodd, Barbara G. – Applied Psychological Measurement, 2012
When tests consist of multiple-choice and constructed-response items, researchers are confronted with the question of which item response theory (IRT) model combination will appropriately represent the data collected from these mixed-format tests. This simulation study examined the performance of six model selection criteria, including the…
Descriptors: Item Response Theory, Models, Selection, Criteria
