Publication Date
| In 2026 | 0 |
| Since 2025 | 3 |
Descriptor
| Statistical Analysis | 3 |
| Item Response Theory | 2 |
| Test Items | 2 |
| Ability | 1 |
| Artificial Intelligence | 1 |
| Bayesian Statistics | 1 |
| Case Studies | 1 |
| Computation | 1 |
| Computer Assisted Testing | 1 |
| Equated Scores | 1 |
| Foreign Countries | 1 |
| More ▼ | |
Author
| Bengt Gerdin | 1 |
| Christian Berggren | 1 |
| Goodwin Amanda | 1 |
| Jianbin Fu | 1 |
| Jorge Salas | 1 |
| Solmaz Filiz Karabag | 1 |
| Sophia Mueller | 1 |
| Sun-Joo Cho | 1 |
| TsungHan Ho | 1 |
| Xuan Tan | 1 |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
Education Level
Audience
Location
| Sweden | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Jianbin Fu; TsungHan Ho; Xuan Tan – Practical Assessment, Research & Evaluation, 2025
Item parameter estimation using an item response theory (IRT) model with fixed ability estimates is useful in equating with small samples on anchor items. The current study explores the impact of three ability estimation methods (weighted likelihood estimation [WLE], maximum a posteriori [MAP], and posterior ability distribution estimation [PST])…
Descriptors: Item Response Theory, Test Items, Computation, Equated Scores
Sun-Joo Cho; Goodwin Amanda; Jorge Salas; Sophia Mueller – Grantee Submission, 2025
This study incorporates a random forest (RF) approach to probe complex interactions and nonlinearity among predictors into an item response model with the goal of using a hybrid approach to outperform either an RF or explanatory item response model (EIRM) only in explaining item responses. In the specified model, called EIRM-RF, predicted values…
Descriptors: Item Response Theory, Artificial Intelligence, Statistical Analysis, Predictor Variables
Christian Berggren; Bengt Gerdin; Solmaz Filiz Karabag – Journal of Academic Ethics, 2025
The exposure of scientific scandals and the increase of dubious research practices have generated a stream of studies on Questionable Research Practices (QRPs), such as failure to acknowledge co-authors, selective presentation of findings, or removal of data not supporting desired outcomes. In contrast to high-profile fraud cases, QRPs can be…
Descriptors: Test Construction, Test Bias, Test Format, Response Style (Tests)

Peer reviewed
Direct link
