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Showing 1 to 14 of 14 for “"Adaptive tests"”.
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Modeling item bias in fixed-item tests and computerized adaptive tests
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-09-01 without embargo terms
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Optimizing Classification Decisions for Paper-and-Pencil and Computer Adaptive Tests
Throughout the social sciences, tests have been used for two primary - and different - purposes: a) to estimate where an examinee is located on an ability/trait continuum (e.g., intelligence tests), or b) to classify an examinee as either above or below a particular point on the ability continuum …
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Application of Appropriateness Measurement to a Problem in Adaptive Testing
… of 1-5 random responses to 15, 20 and 25-item adaptive tests were examined using simulation. Results indicated that adaptive tests are not robust to initial sequences of misinformative responses. Significant underestimation of ability occurred when as few as the initial 2 responses were random. …
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Detection of sparse mixtures: fundamental limits and algorithms
… testing, while the second question is that of adaptive testing. While previous works have studied consistency and adaptivity, particularly in the case of Gaussian signal and noise distributions, it has been shown that different consistent adaptive tests can have very different error …
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New methods of online calibration for item bank replenishment
"Item parameter calibration is important for tests based on item response theory, because the scoring, equating, bias analysis of the test, and item selection in adaptive tests are all based on the item parameters. As a test is continuously administered, item calibration needs to be conducted for …
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Kullback-Leibler information and its applications in multidimensional adaptive testing
… item selection methods in multi-dimensional adaptive tests (MAT) which are based on these two information measures. The KL information index (KI) method is then discussed and two theorems are derived to quantify the relationship between KI and item parameters. Due to the fact that most of the …
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A Quantitative Study of the Added-Value of Co-Teaching Models Implemented in the Fourth Grade Classes of a Suburban New Jersey School Dist
… by the Measurement of Academic Progress (MAP) tests, which are state-aligned, computerized, adaptive tests that reflect the achievement level of each student and measure growth over time. Fourth grade students were tested in the Fall 2008, then tested again, in Spring 2009. Their academic …
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Developing ideal intermediate items for the ideal point model
… items, as well as to construct computerized adaptive tests based on the ideal point model, was also discussed in the paper.
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Computerized Adaptive Testing and the Experience of Flow in Examinees
In recent years, comparisons between computerized adaptive tests (CAT) and paper-and-pencil tests (P&Ps) have focused less on equivalency and more on the construct validity of shifting between the modalities. Examinee motivation is one area of concern, including test and computer anxiety. One type …
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Are Principals Good at Identifying Effective Teachers? A Comparison of Teachers' Principal Ratings and Residual Gain on Standardized Tests
… Measures of Academic Progress (MAP) - computer-adaptive tests for reading, mathematics, and language usage developed by Northwest Evaluation Association (NWEA, 2006). This study fitted individual level data to a value-added model to estimate teacher effects on students' 06-07 MAP gain scores and …
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Computer-Administered Patient Reported Outcomes (PRO) and Psychiatric Screening in Outpatient Pain Patients: Effect of a Point-of-Care Biopsychosocial Patient Health Report on Treatment Outcomes
… touch-screen tablet-pc’s using multiple computer-adaptive-tests from the NIH-sponsored Patient Reported Outcomes Measurement Information Systems (PROMIS) Assessment Center platform; outcome domains included pain-related functioning (Pain Disability Questionnaire [PDQ]; VAS pain rating; PROMIS …
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Item Selection Methods in Polytomous Computerized Adaptive Testing
… technology, the importance of administering adaptive tests with polytomous items is in great need. With regard to the applicability of adaptive testing using polytomous IRT models, adaptive testing can use polytomous items of either rating scales, or in some testing situations of multiple …
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Data-driven adaptive learning systems
"Adaptive learning systems are capable of providing more adaptive and efficient assessment and learning experiences for learners than traditional classroom settings. A conventional adaptive learning system involves a learner, a latent trait estimator, and a learning strategy/plan. The latent trait …