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Giada Spaccapanico Proietti; Mariagiulia Matteucci; Stefania Mignani; Bernard P. Veldkamp – Journal of Educational and Behavioral Statistics, 2024
Classical automated test assembly (ATA) methods assume fixed and known coefficients for the constraints and the objective function. This hypothesis is not true for the estimates of item response theory parameters, which are crucial elements in test assembly classical models. To account for uncertainty in ATA, we propose a chance-constrained…
Descriptors: Automation, Computer Assisted Testing, Ambiguity (Context), Item Response Theory
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Chan, Wendy – Journal of Educational and Behavioral Statistics, 2018
Policymakers have grown increasingly interested in how experimental results may generalize to a larger population. However, recently developed propensity score-based methods are limited by small sample sizes, where the experimental study is generalized to a population that is at least 20 times larger. This is particularly problematic for methods…
Descriptors: Computation, Generalization, Probability, Sample Size
Kohr, Richard L. – 1976
Pennsylvania's Educational Quality Assessment Program provides each participating school with a building level report in which state percentiles are a prominent part. Multiple matrix sampling was being considered as a technique to reduce testing time. However, there was great concern that the error associated with estimating the school mean might…
Descriptors: Educational Assessment, Elementary Secondary Education, Item Sampling, Measurement Techniques
Chambers, Jack A.; Bork, Alfred – 1980
A sample of 974 school districts was surveyed by mail to determine the current and projected use of computers in United States public secondary/elementary schools, with special reference to computer assisted learning. Returned questionnaires provided a 62.3 percent response rate, and were balanced both geographically and by urban/rural…
Descriptors: Computer Assisted Instruction, Computer Oriented Programs, Elementary Secondary Education, Microcomputers