Descriptor
| Difficulty Level | 2 |
| Monte Carlo Methods | 2 |
| Simulation | 2 |
| Algorithms | 1 |
| Change | 1 |
| Computer Assisted Testing | 1 |
| Estimation (Mathematics) | 1 |
| Item Banks | 1 |
| Mathematics Tests | 1 |
| Responses | 1 |
| Statistical Inference | 1 |
| More ▼ | |
Source
| Journal of Educational… | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
| Reports - Research | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| National Assessment of… | 2 |
What Works Clearinghouse Rating
Lau, C. Allen; Wang, Tianyou – 1999
A study was conducted to extend the sequential probability ratio testing (SPRT) procedure with the polytomous model under some practical constraints in computerized classification testing (CCT), such as methods to control item exposure rate, and to study the effects of other variables, including item information algorithms, test difficulties, item…
Descriptors: Algorithms, Computer Assisted Testing, Difficulty Level, Item Banks
Peer reviewedCohen, Jon; Snow, Stephanie – Journal of Educational Measurement, 2002
Studied the impact of changes in item difficulty on National Assessment of Educational Progress (NAEP) estimates over time through a Monte Carlo study that simulated the responses of 1990 NAEP mathematics respondents to 1990 and 1996 NAEP mathematics items. Results support the idea that these changes have not affected the NAEP trend line.…
Descriptors: Change, Difficulty Level, Estimation (Mathematics), Mathematics Tests


