Descriptor
| Adaptive Testing | 2 |
| Computer Assisted Testing | 2 |
| Computer Simulation | 2 |
| Evaluation Methods | 2 |
| Item Banks | 2 |
| Models | 2 |
| Test Items | 2 |
| Ability Identification | 1 |
| College Admission | 1 |
| Computation | 1 |
| Goodness of Fit | 1 |
| More ▼ | |
Author
| Dodd, Barbara | 1 |
| Fitzpatrick, Steven | 1 |
| Gorin, Joanna | 1 |
| Lu, Ying | 1 |
| Pitoniak, Mary | 1 |
| Rizavi, Saba | 1 |
| Shieh, Yann | 1 |
| Steffen, Manfred | 1 |
| Way, Walter D. | 1 |
Publication Type
| Reports - Research | 2 |
| Journal Articles | 1 |
| Numerical/Quantitative Data | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
| Higher Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| California Achievement Tests | 2 |
| Medical College Admission Test | 1 |
What Works Clearinghouse Rating
Peer reviewed
Direct linkGorin, Joanna; Dodd, Barbara; Fitzpatrick, Steven; Shieh, Yann – Applied Psychological Measurement, 2005
The primary purpose of this research is to examine the impact of estimation methods, actual latent trait distributions, and item pool characteristics on the performance of a simulated computerized adaptive testing (CAT) system. In this study, three estimation procedures are compared for accuracy of estimation: maximum likelihood estimation (MLE),…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computation, Test Items
Download full textRizavi, Saba; Way, Walter D.; Lu, Ying; Pitoniak, Mary; Steffen, Manfred – Online Submission, 2004
The purpose of this study was to use realistically simulated data to evaluate various CAT designs for use with the verbal reasoning measure of the Medical College Admissions Test (MCAT). Factors such as item pool depth, content constraints, and item formats often cause repeated adaptive administrations of an item at ability levels that are not…
Descriptors: Test Items, Test Bias, Item Banks, College Admission
