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Veldkamp, Bernard P.; van der Linden, Wim J. – 1999
A method of item pool design is proposed that uses an optimal blueprint for the item pool calculated from the test specifications. The blueprint is a document that specifies the attributes that the items in the computerized adaptive test (CAT) pool should have. The blueprint can be a starting point for the item writing process, and it can be used…
Descriptors: Ability, Adaptive Testing, Classification, Computer Assisted Testing
Thompson, Tony D.; Davey, Tim – 1999
Methods to control the test construct and the efficiency of a computerized adaptive test (CAT) were studied in the context of a reading comprehension test given as a part of a battery of tests for college admission. A goal of the study was to create test scores that were interchangeable with those from a fixed form paper and pencil test. The first…
Descriptors: Adaptive Testing, College Entrance Examinations, Comparative Analysis, Computer Assisted Testing
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Leclercq, Dieudonne – European Journal of Education, 1980
Advancements in educational testing, especially in the computerized construction of tests from item banks, are outlined and explained. It is suggested that these methods open the door to more individualized and more formative type of testing. (MSE)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Oriented Programs, Formative Evaluation
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Luecht, Richard M.; Hirsch, Thomas M. – Applied Psychological Measurement, 1992
Derivations of several item selection algorithms for use in fitting test items to target information functions (IFs) are described. These algorithms, which use an average growth approximation of target IFs, were tested by generating six test forms and were found to provide reliable fit. (SLD)
Descriptors: Algorithms, Computer Assisted Testing, Equations (Mathematics), Goodness of Fit
Peer reviewed Peer reviewed
Boekkooi-Timminga, Ellen – Applied Psychological Measurement, 1990
A new test construction model based on the Rasch model is proposed. This model, the cluster-based method, considers groups of interchangeable items rather than individual items and uses integer programing. Results for six test construction problems indicate that the method produces accurate results in small amounts of time. (SLD)
Descriptors: Cluster Analysis, Computer Assisted Testing, Equations (Mathematics), Item Banks
Peer reviewed Peer reviewed
Enright, Mary K.; Rock, Donald A.; Bennett, Randy Elliot – Journal of Educational Measurement, 1998
Examined alternative-item types and section configurations for improving the discriminant and convergent validity of the Graduate Record Examination (GRE) general test using a computer-based test given to 388 examinees who had taken the GRE previously. Adding new variations of logical meaning appeared to decrease discriminant validity. (SLD)
Descriptors: Admission (School), College Entrance Examinations, College Students, Computer Assisted Testing
Peer reviewed Peer reviewed
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Pommerich, Mary – Journal of Technology, Learning, and Assessment, 2004
As testing moves from paper-and-pencil administration toward computerized administration, how to present tests on a computer screen becomes an important concern. Of particular concern are tests that contain necessary information that cannot be displayed on screen all at once for an item. Ideally, the method of presentation should not interfere…
Descriptors: Test Content, Computer Assisted Testing, Multiple Choice Tests, Computer Interfaces
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Moore, David Richard – Journal of Interactive Online Learning, 2006
Instructional strategies for successfully teaching concepts are found throughout the instructional design literature. These strategies primarily consist of presenting learners with definitions, examples, and non-examples. While examples are important presentation instruments, theorist suggests that examples should not be re-used in the assessment…
Descriptors: Instructional Design, Concept Formation, Test Items, Student Evaluation
Zwick, Rebecca; And Others – 1993
Simulated data were used to investigate the performance of modified versions of the Mantel-Haenszel and standardization methods of differential item functioning (DIF) analysis in computer-adaptive tests (CATs). Each "examinee" received 25 items out of a 75-item pool. A three-parameter logistic item response model was assumed, and…
Descriptors: Adaptive Testing, Computer Assisted Testing, Correlation, Error of Measurement
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Plake, Barbara S.; And Others – 1994
In self-adapted testing (SAT), examinees select the difficulty level of items administered. This study investigated three variations of prior information provided when taking an SAT: (1) no information (examinees selected item difficulty levels without prior information); (2) view (examinees inspected a typical item from each difficulty level…
Descriptors: Adaptive Testing, College Students, Computer Assisted Testing, Difficulty Level
Luecht, Richard M.; Hirsch, Thomas M. – 1990
The derivation of several item selection algorithms for use in fitting test items to target information functions is described. These algorithms circumvent iterative solutions by using the criteria of moving averages of the distance to a target information function and simultaneously considering an entire range of ability points used to condition…
Descriptors: Ability, Algorithms, College Entrance Examinations, Computer Assisted Testing
Grobe, Robert P.; And Others – 1982
Assessment of Baseline Curriculum (ABC Tests) is a locally developed objectives-referenced assessment system that matches the Dallas Independent School System's Baseline Curriculum. Designed for instructional use and not for accountability, a major purpose of the ABC Test is to measure student attainment of objectives in the Mathematics and…
Descriptors: Communication Skills, Computer Assisted Testing, Criterion Referenced Tests, Educational Objectives
De Ayala, R. J. – 1990
The effect of dimensionality on an adaptive test's ability estimation was examined. Two-dimensional data sets, which differed from one another in the interdimensional ability association, the correlation among the difficulty parameters, and whether the item discriminations were or were not confounded with item difficulty, were generated for 1,600…
Descriptors: Ability Identification, Adaptive Testing, Bayesian Statistics, Computer Assisted Testing
Sarvela, Paul D.; Noonan, John V. – 1987
Although there are many advantages to using computer-based tests (CBTs) linked to computer-based instruction (CBI), there are also several difficulties. In certain instructional settings, it is difficult to conduct psychometric analyses of test results. Several measurement issues surface when CBT programs are linked to CBI. Testing guidelines…
Descriptors: Computer Assisted Instruction, Computer Assisted Testing, Educational Testing, Equated Scores
van der Linden, Wim J.; Reese, Lynda M. – 1997
A model for constrained computerized adaptive testing is proposed in which the information in the test at the ability estimate is maximized subject to a large variety of possible constraints on the contents of the test. At each item-selection step, a full test is first assembled to have maximum information at the current ability estimate fixing…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Computer Simulation
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