Abstract
The effects of five item selection rules - Fisher information (FI), Fisher interval information (FII), Fisher information with a posterior distribution (FIP), Kullback-Leibler information (KL), and Kullback-Leibler information with a posterior distribution (KLP) - were compared with respect to the efficiency and precision of trait (θ) estimation at the early stages of computerized adaptive testing (CAT). FII, FIP, KL, and KLP performed marginally better than FI at the early stages of CAT for θ = -3 and -2. For tests longer than 10 items, there appeared to be no precision advantage for any of the selection rules.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 241-255 |
| Number of pages | 15 |
| Journal | Applied Psychological Measurement |
| Volume | 24 |
| Issue number | 3 |
| DOIs | |
| State | Published - Sep 2000 |
| Externally published | Yes |
Keywords
- Computerized adaptive testing
- Fisher information
- Global information
- Item information
- Item response theory
- Kullback-Leibler information
- Local information
ASJC Scopus subject areas
- Psychology(all)
- Psychology (miscellaneous)
- Social Sciences (miscellaneous)