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| Hanson, Bradley A. | 6 |
| Ban, Jae-Chun | 3 |
| Harris, Deborah J. | 3 |
| Yi, Qing | 3 |
| Kolen, Michael J. | 2 |
| Wang, Tianyou | 2 |
| Bay, Luz | 1 |
| Beguin, Anton A. | 1 |
| Chen, Lee | 1 |
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Peer reviewedHanson, Bradley A.; Beguin, Anton A. – Applied Psychological Measurement, 2002
Conducted a simulation study of separate versus concurrent item parameter estimation in common item equating using simulation data from a test with 60 dichotomous items and considering: (1) estimation program; (2) sample size per form; (3) number of common items; and (4) equivalent versus nonequivalent groups. Results are not decisive enough to…
Descriptors: Equated Scores, Estimation (Mathematics), Item Response Theory, Scaling
Peer reviewedKolen, Michael J.; Zeng, Lingjia; Hanson, Bradley A. – Journal of Educational Measurement, 1996
Presents an Item Response Theory (IRT) method for estimating standard errors of measurement of scale scores for the situation in which scale scores are nonlinear transformations of number-correct scores. Also describes procedures for estimating the average conditional standard error of measurement for scale scores and the reliability of scale…
Descriptors: Error of Measurement, Estimation (Mathematics), Item Response Theory, Reliability
Peer reviewedBan, Jae-Chun; Hanson, Bradley A.; Yi, Qing; Harris, Deborah J. – Journal of Educational Measurement, 2002
Compared three online pretest calibration scaling methods through simulation: (1) marginal maximum likelihood with one expectation maximization (EM) cycle (OEM) method; (2) marginal maximum likelihood with multiple EM cycles (MEM); and (3) M. Stocking's method B. MEM produced the smallest average total error in parameter estimation; OEM yielded…
Descriptors: Computer Assisted Testing, Error of Measurement, Maximum Likelihood Statistics, Online Systems
Download full textBan, Jae-Chun; Hanson, Bradley A.; Wang, Tianyou; Yi, Qing; Harris, Deborah J. – 2000
The purpose of this study was to compare and evaluate five online pretest item calibration/scaling methods in computerized adaptive testing (CAT): (1) the marginal maximum likelihood estimate with one-EM cycle (OEM); (2) the marginal maximum likelihood estimate with multiple EM cycles (MEM); (3) Stocking's Method A (M. Stocking, 1988); (4)…
Descriptors: Adaptive Testing, Comparative Analysis, Computer Assisted Testing, Estimation (Mathematics)
Ban, Jae-Chun; Hanson, Bradley A.; Yi, Qing; Harris, Deborah J. – 2002
The purpose of this study was to compare and evaluate three online pretest item calibration/scaling methods in terms of item parameter recovery when the item responses to the pretest items in the pool would be sparse. The three methods considered were the marginal maximum likelihood estimate with one EM cycle (OEM) method, the marginal maximum…
Descriptors: Adaptive Testing, Computer Assisted Testing, Data Analysis, Error of Measurement
Bay, Luz; Chen, Lee; Hanson, Bradley A.; Happel, Jay; Kolen, Michael J.; Miller, Timothy; Pommerich, Mary; Sconing, James; Wang, Tianyou; Welch, Catherine – 1997
This report presents an investigation by the American College Testing Program (ACT) of an alternative design for the National Assessment of Educational Progress (NAEP). The proposed design greatly simplifies the data collection and analysis procedures needed to produce assessment results and has the potential to produce results that are more…
Descriptors: Data Analysis, Data Collection, Educational Assessment, Elementary Secondary Education
