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Thorndike, Robert L. – 1980
In an invitational address to the Victorian Institute of Educational Research, the author discussed Bayesian theory and its relationship to the design and construction of tailored or adaptive tests. Bayesian thinking involves recognizing the role of prior probabilities and using these probabilities in combination with new data to arrive at future…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Assisted Testing, Error of Measurement
Green, Donald Ross; And Others – 1988
Potential benefits of using item response theory in test construction are evaluated, based on the experience and evidence accumulated during 9 years of using a three-parameter model in the construction of major achievement batteries. Specific benefits covered include obtaining sample-free item calibrations and item-free person measurement,…
Descriptors: Achievement Tests, Computer Assisted Testing, Difficulty Level, Elementary Secondary Education
Roos, Linda L.; Wise, Steven L.; Finney, Sara J. – 1998
Previous studies have shown that, when administered a self-adapted test, a few examinees will choose item difficulty levels that are not well-matched to their proficiencies, resulting in high standard errors of proficiency estimation. This study investigated whether the previously observed effects of a self-adapted test--lower anxiety and higher…
Descriptors: Adaptive Testing, College Students, Comparative Analysis, Computer Assisted Testing
Ackerman, Terry A. – 1986
The purpose of this paper is to present two new alternative methods to the current goodness of fit methodology. With the increase use of computerized adaptive test (CAT), the ability to determine the accuracy of calibrated item parameter estimates is paramount. The first method applies a normalizing transformation to the logistic residuals to make…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Simulation, Educational Research
Mills, Craig N.; Simon, Robert – 1981
When criterion-referenced tests are used to assign examinees to states reflecting their performance level on a test, the better known methods for determining test length, which consider relationships among domain scores and errors of measurement, have their limitations. The purpose of this paper is to present a computer system named TESTLEN, which…
Descriptors: Computer Assisted Testing, Criterion Referenced Tests, Cutting Scores, Error of Measurement
De Ayala, R. J.; And Others – 1991
The robustness of a partial credit (PC) model-based computerized adaptive test's (CAT's) ability estimation to items that did not fit the PC model was investigated. A CAT program was written based on the PC model. The program used maximum likelihood estimation of ability. Item selection was on the basis of information. The simulation terminated…
Descriptors: Adaptive Testing, Computer Assisted Testing, Equations (Mathematics), Error of Measurement
Linacre, John M. – 1990
Advantages and disadvantages of standard Rasch analysis computer programs are discussed. The unconditional maximum likelihood algorithm allows all observations to participate equally in determining the measures and calibrations to be obtained quickly from a data set. On the advantage side, standard Rasch programs can be used immediately, are…
Descriptors: Algorithms, Computer Assisted Testing, Computer Graphics, Computer Simulation
Thompson, Bruce; Melancon, Janet G. – 1990
Effect sizes have been increasingly emphasized in research as more researchers have recognized that: (1) all parametric analyses (t-tests, analyses of variance, etc.) are correlational; (2) effect sizes have played an important role in meta-analytic work; and (3) statistical significance testing is limited in its capacity to inform scientific…
Descriptors: Comparative Analysis, Computer Assisted Testing, Correlation, Effect Size
Tatsuoka, Kikumi – 1980
This paper presents a new method for estimating a given latent trait variable by the least-squares approach. The beta weights are obtained recursively with the help of Fourier series and expressed as functions of item parameters of response curves. The values of the latent trait variable estimated by this method and by maximum likelihood method…
Descriptors: Computer Assisted Testing, Error of Measurement, Higher Education, Latent Trait Theory

Bergstrom, Betty A.; And Others – Applied Measurement in Education, 1992
Effects of altering test difficulty on examinee ability measures and test length in a computer adaptive test were studied for 225 medical technology students in 3 test difficulty conditions. Results suggest that, with an item pool of sufficient depth and breadth, acceptable targeting to test difficulty is possible. (SLD)
Descriptors: Ability, Adaptive Testing, Change, College Students
Legg, Sue M.; Buhr, Dianne C. – 1990
Possible causes of a 16-point mean score increase for the computer adaptive form of the College Level Academic Skills Test (CLAST) in reading over the paper-and-pencil test (PPT) in reading are examined. The adaptive form of the CLAST was used in a state-wide field test in which reading, writing, and computation scores for approximately 1,000…
Descriptors: Adaptive Testing, College Entrance Examinations, Community Colleges, Comparative Testing
Patience, Wayne M.; Reckase, Mark D. – 1979
Simulated tailored tests were used to investigate the relationships between characteristics of the item pool and the computer program, and the reliability and bias of the resulting ability estimates. The computer program was varied to provide for various step sizes (differences in difficulty between successive steps) and different acceptance…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Educational Testing
Brown, William L. – 1992
The partial credit model of G. N. Masters (1982), a one-parameter unidimensional polychotomous Rasch model, was used to reduce the error of measurement, particularly for students near the cut score, and to permit measurement to reflect the actual ability of a student more accurately by reducing the degree of misfit for students near the cut…
Descriptors: Ability, Computer Assisted Testing, Cutting Scores, Error of Measurement
Brick, J. Michael; West, Jerry – 1992
In the spring of 1991 the first full-scale National Household Education Survey (NHES:91) was conducted for the National Center for Education Statistics (NCES). The NHES:91 was a national random digit dial telephone survey of about 14,000 parents of 3- to 8-year-old children concerning the educational experiences of young children. A reinterview…
Descriptors: Computer Assisted Testing, Early Childhood Education, Educational Attitudes, Educational Experience