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Samejima, Fumiko – 1981
This is a continuation of a previous study in which a new method of estimating the operating characteristics of discrete item responses based upon an Old Test, which has a non-constant test information function, was tested upon each of two subtests of the original Old Test, Subtests 1 and 2. The results turned out to be quite successful. In the…
Descriptors: Academic Ability, Computer Assisted Testing, Estimation (Mathematics), Latent Trait Theory
Download full textGershon, Richard C.; And Others – 1994
A 1992 study by R. Gershon found discrepancies when comparing the theoretical Rasch item characteristic curve with the average empirical curve for 1,304 vocabulary items administered to 7,711 students. When person-item mismatches were deleted (for any person-item interaction where the ability of the person was much higher or much lower than the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Elementary Education
Sykes, Robert C.; Ito, Kyoko – 1995
Whether the presence of bidimensionality has any effect on the adaptive recalibration of test items was studied through live-data simulation of computer adaptive testing (CAT) forms. The source data were examinee responses to the 298 scored multiple choice items of a licensure examination in a health care profession. Three 75-item part-forms,…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Estimation (Mathematics)
Gugel, John F. – 1990
A new method for estimating the parameters of the normal ogive three-parameter model for multiple-choice test items--the normalized direct (NDIR) procedure--is examined. The procedure is compared to a more commonly used estimation procedure, Lord's LOGIST, using computer simulations. The NDIR procedure uses the normalized (mid-percentile)…
Descriptors: Ability Identification, Aptitude Tests, Chi Square, Comparative Analysis
Adams, Raymond J.; Khoo, Siek-Toon – 1993
The Quest program offers a comprehensive test and questionnaire analysis environment by providing a data analyst (a computer program) with access to the most recent developments in Rasch measurement theory, as well as a range of traditional analysis procedures. This manual helps the user use Quest to construct and validate variables based on…
Descriptors: Computer Assisted Testing, Computer Software, Estimation (Mathematics), Foreign Countries
Peer reviewedWise, Steven L.; And Others – Journal of Educational Measurement, 1992
Performance of 156 undergraduate and 48 graduate students on a self-adapted test (SFAT)--students choose the difficulty level of their test items--was compared with performance on a computer-adapted test (CAT). Those taking the SFAT obtained higher ability scores and reported lower posttest state anxiety than did CAT takers. (SLD)
Descriptors: Adaptive Testing, Comparative Testing, Computer Assisted Testing, Difficulty Level
Peer reviewedCohen, Allan S.; And Others – Journal of Educational Measurement, 1991
Detecting differential item functioning (DIF) on test items constructed to favor 1 group over another was investigated on parameter estimates from 2 item response theory-based computer programs--BILOG and LOGIST--using data for 1,000 White and 1,000 Black college students. Use of prior distributions and marginal-maximum a posteriori estimation is…
Descriptors: Black Students, College Students, Computer Assisted Testing, Equations (Mathematics)
