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Peer reviewedMosenthal, Peter B. – American Educational Research Journal, 1998
The extent to which variables from a previous study (P. Mosenthal, 1996) on document processing influenced difficulty on 165 tasks from the pose scales of five national adult literacy scales was studied. Three process variables accounted for 78% of the variance when prose task difficulty was defined using level scores. Implications for computer…
Descriptors: Adaptive Testing, Adults, Computer Assisted Testing, Definitions
Peer reviewedBennett, Randy Elliot; Morley, Mary; Quardt, Dennis – Applied Psychological Measurement, 2000
Describes three open-ended response types that could broaden the conception of mathematical problem solving used in computerized admissions tests: (1) mathematical expression (ME); (2) generating examples (GE); and (3) and graphical modeling (GM). Illustrates how combining ME, GE, and GM can form extended constructed response problems. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Constructed Response, Mathematics Tests
Peer reviewedEmbretson, Susan E. – Multivariate Behavioral Research, 2000
Discusses computerized dynamic testing with cues and items presented according to objective algorithms, elaborating on appropriate designs and psychometric models. Presents two studies involving 311 military recruits and 584 recruits that support the psychometric properties of a test measuring the susceptibility of reasoning to stressors. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Military Personnel, Psychometrics
Peer reviewedZwick, Rebecca; And Others – Journal of Educational Measurement, 1995
In a simulation study of ability and estimation of differential item functioning (DIF) in computerized adaptive tests, Rasch-based DIF statistics were highly correlated with generating DIF, but DIF statistics tended to be slightly smaller than in the three-parameter logistic model analyses. (SLD)
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Computer Simulation
Peer reviewedvan Krimpen-Stoop, Edith M. L. A.; Meijer, Rob – Applied Psychological Measurement, 1999
Theoretical null distributions of several fit statistic have been derived for paper-and-pencil tests. Examined whether these distributions also hold for computerized adaptive tests through simulation. Rates for two statistics studied were found to be similar in most cases. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Goodness of Fit, Item Response Theory
Peer reviewedvan der Linden, Wim J.; Scrams, David J.; Schnipke, Deborah L. – Applied Psychological Measurement, 1999
Proposes an item-selection algorithm for neutralizing the differential effects of time limits on computerized adaptive test scores. Uses a statistical model for distributions of examinees' response times on items in a bank that is updated each time an item is administered. Demonstrates the method using an item bank from the Armed Services…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Item Banks
Peer reviewedNering, Michael L. – Applied Psychological Measurement, 1997
Evaluated the distribution of person fit within the computerized-adaptive testing (CAT) environment through simulation. Found that, within the CAT environment, these indexes tend not to follow a standard normal distribution. Person fit indexes had means and standard deviations that were quite different from the expected. (SLD)
Descriptors: Adaptive Testing, Computer Assisted Testing, Error of Measurement, Item Response Theory
Peer reviewedStocking, Martha L. – Applied Psychological Measurement, 1997
Investigated three models that permit restricted examinee control over revising previous answers in the context of adaptive testing, using simulation. Two models permitting item revisions worked well in preserving test fairness and accuracy, and one model may preserve some cognitive processing styles developed by examinees for a linear testing…
Descriptors: Adaptive Testing, Cognitive Processes, Comparative Analysis, Computer Assisted Testing
Yi, Qing; Zhang, Jinming; Chang, Hua-Hua – ETS Research Report Series, 2006
Chang and Zhang (2002, 2003) proposed several baseline criteria for assessing the severity of possible test security violations for computerized tests with high-stakes outcomes. However, these criteria were obtained from theoretical derivations that assumed uniformly randomized item selection. The current study investigated potential damage caused…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Computer Security
Gershon, Richard C.; Bergstrom, Betty – 1991
The relationship of several individual differences variables to Computer Adaptive Testing (CAT) as compared with traditional written tests are explored. Seven hundred sixty-five examinees took a Computer Adaptive Test and two fixed-length written tests. Each examinee also answered a computer literacy inventory, a satisfaction questionnaire, and a…
Descriptors: Adaptive Testing, Adults, Computer Assisted Testing, Computer Literacy
Tang, K. Linda – 1996
The average Kullback-Keibler (K-L) information index (H. Chang and Z. Ying, in press) is a newly proposed statistic in Computerized Adaptive Testing (CAT) item selection based on the global information function. The objectives of this study were to improve understanding of the K-L index with various parameters and to compare the performance of the…
Descriptors: Ability, Adaptive Testing, Comparative Analysis, Computer Assisted Testing
Parshall, Cynthia G.; Davey, Tim; Nering, Mike L. – 1998
When items are selected during a computerized adaptive test (CAT) solely with regard to their measurement properties, it is commonly found that certain items are administered to nearly every examinee, and that a small number of the available items will account for a large proportion of the item administrations. This presents a clear security risk…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Efficiency
van der Linden, Wim J.; Glas, Cees A. W. – 1998
In adaptive testing, item selection is sequentially optimized during the test. Since the optimization takes place over a pool of items calibrated with estimation error, capitalization on these errors is likely to occur. How serious the consequences of this phenomenon are depends not only on the distribution of the estimation errors in the pool or…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Error of Measurement
Linacre, John Michael – 1988
Computer-adaptive testing (CAT) allows improved security, greater scoring accuracy, shorter testing periods, quicker availability of results, and reduced guessing and other undesirable test behavior. Simple approaches can be applied by the classroom teacher, or other content specialist, who possesses simple computer equipment and elementary…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Cutting Scores
Schafer, William D; Johnson, Charles E. – 1985
This paper presents examples of effective uses of microcomputers to support basic statistics instruction. All programs are written in Applesoft BASIC for Apple II Plus microcomputers and compatible equipment. They have been field tested in statistics courses at the University of Maryland. Microcomputers can be used with color monitors for…
Descriptors: Adaptive Testing, Computer Assisted Instruction, Computer Assisted Testing, Courseware


