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Lautenschlager, Gary J.; Park, Dong-Gun – 1987
The effects of variations in degree of range restriction and different subgroup sample sizes on the validity of several item bias detection procedures based on Item Response Theory (IRT) were investigated in a simulation study. The degree of range restriction for each of two subpopulations was varied by cutting the specified subpopulation ability…
Descriptors: Computer Simulation, Item Analysis, Latent Trait Theory, Mathematical Models
Jolly, S. Jean; And Others – 1985
Scores from the Stanford Achievement Tests administered to 50,000 students in Palm Beach County, Florida, were studied in order to determine whether the speeded nature of the reading comprehension subtest was related to inconsistencies in the score profiles. Specifically, the probable effect of random guessing was examined. Reading scores were…
Descriptors: Achievement Tests, Elementary Secondary Education, Guessing (Tests), Item Analysis
Hambleton, Ronald K.; And Others – 1987
The study compared two promising item response theory (IRT) item-selection methods, optimal and content-optimal, with two non-IRT item selection methods, random and classical, for use in fixed-length certification exams. The four methods were used to construct 20-item exams from a pool of approximately 250 items taken from a 1985 certification…
Descriptors: Comparative Analysis, Content Validity, Cutting Scores, Difficulty Level
Lenel, Julia C.; Gilmer, Jerry S. – 1986
In some testing programs an early item analysis is performed before final scoring in order to validate the intended keys. As a result, some items which are flawed and do not discriminate well may be keyed so as to give credit to examinees no matter which answer was chosen. This is referred to as allkeying. This research examined how varying the…
Descriptors: Equated Scores, Item Analysis, Latent Trait Theory, Licensing Examinations (Professions)
Samejima, Fumiko – 1986
Item analysis data fitting the normal ogive model were simulated in order to investigate the problems encountered when applying the three-parameter logistic model. Binary item tests containing 10 and 35 items were created, and Monte Carlo methods simulated the responses of 2,000 and 500 examinees. Item parameters were obtained using Logist 5.…
Descriptors: Computer Simulation, Difficulty Level, Guessing (Tests), Item Analysis
Olsen, James B.; And Others – 1986
Student achievement test scores were compared and equated, using three different testing methods: paper-administered, computer-administered, and computerized adaptive testing. The tests were developed from third and sixth grade mathematics item banks of the California Assessment Program. The paper and the computer-administered tests were identical…
Descriptors: Achievement Tests, Adaptive Testing, Comparative Testing, Computer Assisted Testing
Harnisch, Delwyn L. – 1985
Computer adaptive testing systems are feasible for certification and licensure testing. This is in part due to the availability of extensive yet inexpensive computers. Modern item response theory, combined with computerized adaptive testing, yields a powerful new method of testing which provides greater accuracy and efficiency and less boredom for…
Descriptors: Adaptive Testing, Certification, Computer Assisted Testing, Cost Effectiveness
Noble, Christopher S.; And Others – 1986
The relationship between item omission and item position on criterion-referenced tests in the Texas state assessment program is examined. Item statistics from the Texas Educational Assessment of Minimum Skills (TEAMS) and Texas Assessment of Basic Skills (TABS) mathematics and reading tests from 1983 through 1985 are examined for three ethnic…
Descriptors: Basic Skills, Blacks, Criterion Referenced Tests, Ethnic Groups