Application of an Automated Item Selection Method to Real Data

Martha L. Stocking · Len Swanson · Mari Pearlman

36 citations0/0 files storedApplied Psychological Measurement

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Psychometric Methodologies and Testing Educational Assessment and Pedagogy Educational Technology and Assessment

Abstract

A method of automatically selecting items for inclusion in a test that has constraints on item content and statistical properties was applied to real data. Two tests were assembled by test specialists who assemble such tests on a routine basis. Using the same pool of items and the same constraints, the two tests were reassembled auto matically. Test specialists not involved in the original manual assembly compared the tests constructed manually to the tests constructed automatically. The results indicated that the progress of automated test assembly methods lies in improving item banking systems, classification schemes, and quality control measures, rather than in the development of different algorithms or in the improvement of computer time and cost.

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References

2012Applications of Item Response Theory To Practical Testing Problems 1968Some latent trait models and their use in inferring an examinee's ability 1977Applied Psychological Measurement 1993A Method for Severely Constrained Item Selection in Adaptive Testing 1993A Model and Heuristic For Solving Very Large Item Selection Problems 1985Binary Programming and Test Design 1989A Maximin Model for Test Design with Practical Constraints 1986Some Applications of Optimization Algorithms in Test Design and Adaptive Testing

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1996Test construction in the 1990s: Recent approaches every psychologist should know.2005Infeasibility in Automated Test Assembly Models: A Comparison Study of Different Methods

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