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) | 1 |
Descriptor
Computer Assisted Testing | 2 |
Data Analysis | 2 |
Item Response Theory | 2 |
Test Items | 2 |
Academic Ability | 1 |
Adaptive Testing | 1 |
Evaluation Methods | 1 |
Item Banks | 1 |
Monte Carlo Methods | 1 |
Psychological Studies | 1 |
Scores | 1 |
More ▼ |
Source
Applied Psychological… | 2 |
Publication Type
Journal Articles | 2 |
Reports - Evaluative | 1 |
Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Green, Bert F. – Applied Psychological Measurement, 2011
This article refutes a recent claim that computer-based tests produce biased scores for very proficient test takers who make mistakes on one or two initial items and that the "bias" can be reduced by using a four-parameter IRT model. Because the same effect occurs with pattern scores on nonadaptive tests, the effect results from IRT scoring, not…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Bias, Item Response Theory
Belov, Dmitry I.; Armstrong, Ronald D. – Applied Psychological Measurement, 2005
A new test assembly algorithm based on a Monte Carlo random search is presented in this article. A major advantage of the Monte Carlo test assembly over other approaches (integer programming or enumerative heuristics) is that it performs a uniform sampling from the item pool, which provides every feasible item combination (test) with an equal…
Descriptors: Item Banks, Computer Assisted Testing, Monte Carlo Methods, Evaluation Methods