Descriptor
| Adaptive Testing | 3 |
| Bayesian Statistics | 3 |
| Computer Assisted Testing | 3 |
| Item Bias | 3 |
| Simulation | 2 |
| Classification | 1 |
| College Entrance Examinations | 1 |
| Estimation (Mathematics) | 1 |
| Probability | 1 |
| Sample Size | 1 |
| Sampling | 1 |
| More ▼ | |
Source
| Applied Psychological… | 1 |
Author
| Zwick, Rebecca | 3 |
| Thayer, Dorothy T. | 2 |
Publication Type
| Reports - Research | 2 |
| Journal Articles | 1 |
| Reports - Evaluative | 1 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Law School Admission Test | 1 |
What Works Clearinghouse Rating
Peer reviewedZwick, Rebecca; Thayer, Dorothy T. – Applied Psychological Measurement, 2002
Used a simulation to investigate the applicability to computerized adaptive test data of a differential item functioning (DIF) analysis method. Results show the performance of this empirical Bayes enhancement of the Mantel Haenszel DIF analysis method to be quite promising. (SLD)
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Item Bias
Download full textZwick, Rebecca; Thayer, Dorothy T. – 2003
This study investigated the applicability to computerized adaptive testing (CAT) data of a differential item functioning (DIF) analysis that involves an empirical Bayes (EB) enhancement of the popular Mantel Haenszel (MH) DIF analysis method. The computerized Law School Admission Test (LSAT) assumed for this study was similar to that currently…
Descriptors: Adaptive Testing, Bayesian Statistics, College Entrance Examinations, Computer Assisted Testing
Zwick, Rebecca – 1995
This paper describes a study, now in progress, of new methods for representing the sampling variability of Mantel-Haenszel differential item functioning (DIF) results, based on the system for categorizing the severity of DIF that is now in place at the Educational Testing Service. The methods, which involve a Bayesian elaboration of procedures…
Descriptors: Adaptive Testing, Bayesian Statistics, Classification, Computer Assisted Testing
