Descriptor
| Comparative Testing | 5 |
| Test Length | 5 |
| Adaptive Testing | 4 |
| Computer Assisted Testing | 4 |
| Test Items | 4 |
| Computer Simulation | 3 |
| Item Response Theory | 3 |
| Ability | 2 |
| Estimation (Mathematics) | 2 |
| Item Banks | 2 |
| Mathematical Models | 2 |
| More ▼ | |
Source
| Journal of Educational… | 2 |
Author
| Ang, Cheng | 1 |
| Ankenman, Robert D. | 1 |
| Chen, Shu-Ying | 1 |
| De Ayala, R. J. | 1 |
| Kim, Haeok | 1 |
| Miller, M. David | 1 |
| Plake, Barbara S. | 1 |
| Wainer, Howard | 1 |
Publication Type
| Reports - Evaluative | 5 |
| Speeches/Meeting Papers | 3 |
| Journal Articles | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Ang, Cheng; Miller, M. David – 1993
The power of the procedure of W. Stout to detect deviations from essential unidimensionality in two-dimensional data was investigated for minor, moderate, and large deviations from unidimensionality using criteria for deviations from unidimensionality based on prior research. Test lengths of 20 and 40 items and sample sizes of 700 and 1,500 were…
Descriptors: Ability, Comparative Testing, Correlation, Item Response Theory
Peer reviewedWainer, Howard; And Others – Journal of Educational Measurement, 1992
Computer simulations were run to measure the relationship between testlet validity and factors of item pool size and testlet length for both adaptive and linearly constructed testlets. Making a testlet adaptive yields only modest increases in aggregate validity because of the peakedness of the typical proficiency distribution. (Author/SLD)
Descriptors: Adaptive Testing, Comparative Testing, Computer Assisted Testing, Computer Simulation
Chen, Shu-Ying; Ankenman, Robert D. – Journal of Educational Measurement, 2004
The purpose of this study was to compare the effects of four item selection rules--(1) Fisher information (F), (2) Fisher information with a posterior distribution (FP), (3) Kullback-Leibler information with a posterior distribution (KP), and (4) completely randomized item selection (RN)--with respect to the precision of trait estimation and the…
Descriptors: Test Length, Adaptive Testing, Computer Assisted Testing, Test Selection
De Ayala, R. J. – 1992
One important and promising application of item response theory (IRT) is computerized adaptive testing (CAT). The implementation of a nominal response model-based CAT (NRCAT) was studied. Item pool characteristics for the NRCAT as well as the comparative performance of the NRCAT and a CAT based on the three-parameter logistic (3PL) model were…
Descriptors: Adaptive Testing, Comparative Testing, Computer Assisted Testing, Computer Simulation
Kim, Haeok; Plake, Barbara S. – 1993
A two-stage testing strategy is one method of adapting the difficulty of a test to an individual's ability level in an effort to achieve more precise measurement. A routing test provides an initial estimate of ability level, and a second-stage measurement test then evaluates the examinee further. The measurement accuracy and efficiency of item…
Descriptors: Ability, Adaptive Testing, Comparative Testing, Computer Assisted Testing

Direct link
