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Showing all 15 results Save | Export
Peer reviewed Peer reviewed
Prien, Borge – Studies in Educational Evaluation, 1989
Under certain conditions it may be possible to determine the difficulty of previously untested test items. Although no recipe can be provided, reflections on this topic are presented, drawing on concepts of item banking. A functional constructive method is suggested as having the most potential. (SLD)
Descriptors: Difficulty Level, Educational Assessment, Foreign Countries, Item Analysis
George, Archie A. – 1979
The appropriateness of the use of the standardized residual (SR) to assess congruence between sample test item responses and the one parameter latent trait (Rasch) item characteristic curve is investigated. Latent trait theory is reviewed, as well as theory of the SR, the apparent error in calculating the expected distribution of the SR, and…
Descriptors: Academic Ability, Computer Programs, Difficulty Level, Goodness of Fit
Forster, Fred; And Others – 1978
Research on the Rasch model of test and item analysis was applied to tests constructed from item banks for reading and mathematics with respect to five practical problems for scaling items and equating test forms. The questions were: (1) Does the Rasch model yield the same scale value regardless of the student sample? (2) How many students are…
Descriptors: Achievement Tests, Difficulty Level, Elementary Secondary Education, Equated Scores
Drasgow, Fritz; Parsons, Charles K. – 1982
The effects of a multidimensional latent trait space on estimation of item and person parameters by the computer program LOGIST are examined. Several item pools were simulated that ranged from truly unidimensional to an inconsequential general latent trait. Item pools with intermediate levels of prepotency of the general latent trait were also…
Descriptors: Computer Simulation, Computer Software, Difficulty Level, Item Analysis
Peer reviewed Peer reviewed
Dodd, Barbara G.; And Others – Educational and Psychological Measurement, 1993
Effects of the following variables on performance of computerized adaptive testing (CAT) procedures for the partial credit model (PCM) were studied: (1) stopping rule for terminating CAT; (2) item pool size; and (3) distribution of item difficulties. Implications of findings for CAT systems based on the PCM are discussed. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Simulation, Difficulty Level
Forster, Fred – 1987
Studies carried out over a 12-year period addressed fundamental questions on the use of Rasch-based item banks. Large field tests administered in grades 3-8 of reading, mathematics, and science items, as well as standardized test results were used to explore the possible effects of many factors on item calibrations. In general, the results…
Descriptors: Achievement Tests, Difficulty Level, Elementary Education, Item Analysis
Curry, Allen R.; And Others – 1978
The efficacy of employing subsets of items from a calibrated item pool to estimate the Rasch model person parameters was investigated. Specifically, the degree of invariance of Rasch model ability-parameter estimates was examined across differing collections of simulated items. The ability-parameter estimates were obtained from a simulation of…
Descriptors: Career Development, Difficulty Level, Equated Scores, Error of Measurement
Thomas, Gregory P. – 1986
This paper argues that no single measurement strategy serves all purposes and that applying methods and techniques which allow a variety of data elements to be retrieved and juxtaposed may be an investment in the future. Item response theory, Rasch model, and latent trait theory are all approaches to a single conceptual topic. An abbreviated look…
Descriptors: Achievement Tests, Adaptive Testing, Criterion Referenced Tests, Data Collection
Wainer, Howard; Kiely, Gerard L. – 1986
Recent experience with the Computerized Adaptive Test (CAT) has raised a number of concerns about its practical applications. The concerns are principally involved with the concept of having the computer construct the test from a precalibrated item pool, and substituting statistical characteristics for the test developer's skills. Problems with…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Construct Validity
Prestwood, J. Stephen; And Others – 1985
In order to take advantage of advances in the field of mental measurement, the Armed Forces and the Department of Defense have supported the development of a computerized adaptive version of the Armed Services Vocational Aptitude Battery (ASVAB) for use in military personnel selection and classification. This report describes the development and…
Descriptors: Aptitude Tests, Armed Forces, Computer Assisted Testing, Data Collection
Patience, Wayne M.; Reckase, Mark D. – 1979
An experiment was performed with computer-generated data to investigate some of the operational characteristics of tailored testing as they are related to various provisions of the computer program and item pool. With respect to the computer program, two characteristics were varied: the size of the step of increase or decrease in item difficulty…
Descriptors: Adaptive Testing, Computer Assisted Testing, Difficulty Level, Error of Measurement
Davis, John N.; Moriel, James, Jr. – 1980
In order to compose equivalent certification tests in the basic skills in reading, mathematics calculations and applications, and writing for high school graduation requirements, the San Jose Unified School District, California, used the Rasch computer program to arrive at the scaled difficulty level of test items. The procedure for achieving a…
Descriptors: Basic Skills, Criterion Referenced Tests, Cutting Scores, Difficulty Level
Cliff, Norman; And Others – 1977
TAILOR is a computer program that uses the implied orders concept as the basis for computerized adaptive testing. The basic characteristics of TAILOR, which does not involve pretesting, are reviewed here and two studies of it are reported. One is a Monte Carlo simulation based on the four-parameter Birnbaum model and the other uses a matrix of…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Difficulty Level
Ingebo, George S. – 1987
Greater knowledge about the practical application of Rasch technology can help in avoiding misapplications and confusions in testing programs. Equal interval curriculum-based scaling makes possible the following improvements in measuring basic skills achievement by enabling testing programs to: (1) individualize the difficulty level of…
Descriptors: Achievement Rating, Achievement Tests, Basic Skills, Difficulty Level
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers