Determining targets for multi-stage adaptive tests using integer programming

DOI10.1016/j.ejor.2009.12.009zbMath1188.90174OpenAlexW2035624390MaRDI QIDQ976386

Ronald D. Armstrong, Louis A. Roussos, Mabel Tam Kung

Publication date: 11 June 2010

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2009.12.009

zbMATH Keywords

integer programmingsimulationitem response theorytestingPoisson trials

Mathematics Subject Classification ID

Integer programming (90C10)

Cites Work

• Unnamed Item
• Achievement test construction using 0-1 linear programming
• Application of structural equation modeling to evaluate the intention of shippers to use internet services in liner shipping
• Linking structural equation modeling to Bayesian networks: Decision support for customer retention in virtual communities
• A mixed integer programming model for multiple stage adaptive testing
• Scenario planning -- lessons for practice from teaching and learning.
• Causal modeling alternatives in operations research: overview and application.
• Application of heuristic methods for conformance test selection
• Learning objects and objectives towards automatic learning construction
• Linear Models for Optimal Test Design

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