Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 0 |
| Since 2016 (last 10 years) | 0 |
| Since 2006 (last 20 years) | 1 |
Descriptor
| Computer Assisted Testing | 3 |
| Reliability | 3 |
| Ability | 1 |
| Adaptive Testing | 1 |
| Algorithms | 1 |
| Automation | 1 |
| Bayesian Statistics | 1 |
| Comparative Analysis | 1 |
| Correlation | 1 |
| Efficiency | 1 |
| Equations (Mathematics) | 1 |
| More ▼ | |
Source
| Applied Psychological… | 3 |
Author
| Baldwin, Peter | 1 |
| Clauser, Brian | 1 |
| Harik, Polina | 1 |
| Hirsch, Thomas M. | 1 |
| Luecht, Richard M. | 1 |
| Nicewander, W. Alan | 1 |
| Thomasson, Gary L. | 1 |
Publication Type
| Journal Articles | 3 |
| Reports - Evaluative | 2 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| United States Medical… | 1 |
What Works Clearinghouse Rating
Direct linkHarik, Polina; Baldwin, Peter; Clauser, Brian – Applied Psychological Measurement, 2013
Growing reliance on complex constructed response items has generated considerable interest in automated scoring solutions. Many of these solutions are described in the literature; however, relatively few studies have been published that "compare" automated scoring strategies. Here, comparisons are made among five strategies for…
Descriptors: Computer Assisted Testing, Automation, Scoring, Comparative Analysis
Peer reviewedNicewander, W. Alan; Thomasson, Gary L. – Applied Psychological Measurement, 1999
Derives three reliability estimates for the Bayes modal estimate (BME) and the maximum-likelihood estimate (MLE) of theta in computerized adaptive tests (CATs). Computes the three reliability estimates and the true reliabilities of both BME and MLE for seven simulated CATs. Results show the true reliabilities for BME and MLE to be nearly identical…
Descriptors: Ability, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
Peer reviewedLuecht, Richard M.; Hirsch, Thomas M. – Applied Psychological Measurement, 1992
Derivations of several item selection algorithms for use in fitting test items to target information functions (IFs) are described. These algorithms, which use an average growth approximation of target IFs, were tested by generating six test forms and were found to provide reliable fit. (SLD)
Descriptors: Algorithms, Computer Assisted Testing, Equations (Mathematics), Goodness of Fit
