Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 1 |
Descriptor
Difficulty Level | 3 |
Probability | 3 |
Test Length | 3 |
Adaptive Testing | 2 |
Computer Assisted Testing | 2 |
Correlation | 2 |
Item Response Theory | 2 |
Sample Size | 2 |
Test Items | 2 |
Ability | 1 |
Change | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Speeches/Meeting Papers | 2 |
Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Kárász, Judit T.; Széll, Krisztián; Takács, Szabolcs – Quality Assurance in Education: An International Perspective, 2023
Purpose: Based on the general formula, which depends on the length and difficulty of the test, the number of respondents and the number of ability levels, this study aims to provide a closed formula for the adaptive tests with medium difficulty (probability of solution is p = 1/2) to determine the accuracy of the parameters for each item and in…
Descriptors: Test Length, Probability, Comparative Analysis, Difficulty Level
De Ayala, R. J. – 1993
Previous work on the effects of dimensionality on parameter estimation was extended from dichotomous models to the polytomous graded response (GR) model. A multidimensional GR model was developed to generate data in one-, two-, and three-dimensions, with two- and three-dimensional conditions varying in their interdimensional associations. Test…
Descriptors: Computer Simulation, Correlation, Difficulty Level, Estimation (Mathematics)

Bergstrom, Betty A.; And Others – Applied Measurement in Education, 1992
Effects of altering test difficulty on examinee ability measures and test length in a computer adaptive test were studied for 225 medical technology students in 3 test difficulty conditions. Results suggest that, with an item pool of sufficient depth and breadth, acceptable targeting to test difficulty is possible. (SLD)
Descriptors: Ability, Adaptive Testing, Change, College Students